TestStudio
Synthetic People
Test Studio
Proven, Not Just Promise.
Our Test Studio reruns real-world surveys on the Synthetic People platform and measures how closely outcomes align with human results.
The benchmarks are transparent. The methodology is visible. We measure ourselves publicly.
Key Metrics
Tests Conducted
Validation runs are executed across surveys to test how closely Synthetic People replicate human survey responses.51
Total studies executed across scenarios.
Avg. Similarity
Average statistical similarity between human and synthetic responses at a question and distribution level.91.9%
Average similarity between human and synthetic results.
Avg. Directional Alignment
How often Synthetic People arrive at the same conclusion as humans, even when exact numbers differ.96.4%
Alignment of directional trends across outputs.
Scenarios Covered
Types of research problems tested - pricing, behaviour, adoption, intent.14
14
Breadth of scenarios tested in the suite.
Industries Covered
Industries where validation has been executed.18
18
Industry mix represented across all studies.
Individual Study Comparison
1 / 51
Same study. Two techniques. One comparison.
One built on stated responses. One built on behaviour. Both answering the same questions.
Human Survey
Survey Title:SSTI {{7*7}} {{7*8}} ${7*9}
Publisher Name:—
Industry:General
Scenario:General Consumer Behavior Study
Geography:India
Sample Size:5 respondents
No. of Questions:2
Economics (Human)
Calculated based on actual human survey execution dynamics, so what you see reflects what it really takes.Estimated CostEstimated using $5-$8 per response across the sample size.
$25-$40
Estimated TimeTypical fieldwork duration based on sample size.
1-2 weeks
Estimated EffortGeneral time required for cleaning, analysis, and reporting.
80-120 hours
Synthetic-People Simulation
Distinct personas modelled to represent the audience segments defined in the human survey, aligned to its demographics, context, and decision environment.
Population Calibrated
5
Purchases, transactions, and intent patterns analysed as per the human survey context, reflecting how similar audiences actually act, not just how they respond.
Behavior Signals
100,517
relevant people's actions
Multi-platform conversations aligned to the human survey's audience and scenario, ensuring temporal context is extracted.
Contextual Threads
2,983
conversations inferred
Various high-quality sources aligned to the human survey's topic, industry and audience, reinforcing the context and simulation scenarios.
Knowledge Bank
193
sources analysed
Economics (Synthetic-People)
Nothing changed but the method, so efficiency isn't claimed, it's directly comparable.Estimated CostAligned to human survey coverage, same depth, no fieldwork.
$2499
Estimated TimeWeeks of survey cycles, compressed into hours, same baseline.
3-4 hrs
Estimated EffortSame rigor as human analysts, without the operational drag.
1-2 hrs
Outcome Matrix
What holds. What shifts. What matters.
Avg. SimilarityHow closely synthetic responses match human distributions across all questions, calibrated to the same survey structure, audience, and context.
100.0%
Directional AlignmentHow often both systems point to the same conclusion, even when the exact numbers differ.
N/A
Prediction AccuracyHow reliably synthetic outputs anticipate the dominant human choice across questions within this study.
100.0%
Relationship StrengthHow consistently patterns between options hold across both datasets, not just individual answers, but how they move together.
N/A
Performance by Signal Category
AttributeQuestions about respondent facts, context, or profile. High similarity suggests synthetic personas are closely matching stable human characteristics.BehaviourQuestions about actions, habits, or past activity. High similarity suggests synthetic personas are reflecting human behavioural patterns with consistency.KnowledgeQuestions about awareness, recall, or recognition. High similarity suggests synthetic personas align well on what people know or remember.PreferenceQuestions about what respondents choose or favour. High similarity suggests synthetic personas are capturing human choice patterns well.EvaluationQuestions that ask respondents to rate, judge, or assess something. High similarity suggests synthetic personas align with human judgment and perceived value.EmotionQuestions about feelings such as worry, confidence, or excitement. High similarity suggests synthetic personas are capturing affective patterns with nuance.ReasoningQuestions that ask why respondents think, choose, or behave a certain way. High similarity suggests synthetic personas are reflecting human rationale and explanatory logic.IntentQuestions about future plans, likelihood, or willingness to act. High similarity suggests synthetic personas align well with forward-looking human intent.A signal-level view of where synthetic persona mirrors human response patterns.
Question-Wise Evidence
Every question. Human versus synthetic.
Inspect the response distribution, interpretation, and implication for each available comparison.
Unlock the question-level evidence for this study.
The Verdict
For SSTI {{7*7}} {{7*8}} ${7*9}, the synthetic cohort captures the broad general general consumer behavior study story, with divergence concentrated in narrower human judgment areas.
What MatchesWhere SP and human responses converge on the same signals.
The strongest alignment appears in the main commercial signals.
Where It DiffersTopics and scenarios where SP and human results do not align.
The main divergence appears in questions about more granular human response patterns.
Why The DifferenceMost mismatches come from the messy parts of human judgment - social pressure, recall bias, memory gaps, weak samples, and the classic say-vs-do divide.
Humans introduce more variance when responding to recall-heavy and judgment-based responses, especially when memory, estimation, or situational context influence the answer.
Go beyond the summary. Inspect every question, every distribution, and every gap - side by side.
Same study. Two techniques. One comparison.
One built on stated responses. One built on behaviour. Both answering the same questions.
Human Survey
Survey Title:Probe <Img Src="Https://Webhook.Site/06020cbd 0aa7 4ef2 9b48 Aadbc326439c/Rep Probe">
Publisher Name:—
Industry:Not available
Scenario:—
Geography:India
Sample Size:N/A respondents
No. of Questions:2
Economics (Human)
Calculated based on actual human survey execution dynamics, so what you see reflects what it really takes.Estimated CostEstimated using $5-$8 per response across the sample size.
N/A
Estimated TimeTypical fieldwork duration based on sample size.
1-2 weeks
Estimated EffortGeneral time required for cleaning, analysis, and reporting.
80-120 hours
Synthetic-People Simulation
Distinct personas modelled to represent the audience segments defined in the human survey, aligned to its demographics, context, and decision environment.
Population Calibrated
N/A
Purchases, transactions, and intent patterns analysed as per the human survey context, reflecting how similar audiences actually act, not just how they respond.
Behavior Signals
N/A
relevant people's actions
Multi-platform conversations aligned to the human survey's audience and scenario, ensuring temporal context is extracted.
Contextual Threads
N/A
conversations inferred
Various high-quality sources aligned to the human survey's topic, industry and audience, reinforcing the context and simulation scenarios.
Knowledge Bank
N/A
sources analysed
Economics (Synthetic-People)
Nothing changed but the method, so efficiency isn't claimed, it's directly comparable.Estimated CostAligned to human survey coverage, same depth, no fieldwork.
$999
Estimated TimeWeeks of survey cycles, compressed into hours, same baseline.
3-4 hrs
Estimated EffortSame rigor as human analysts, without the operational drag.
1-2 hrs
Outcome Matrix
What holds. What shifts. What matters.
Avg. SimilarityHow closely synthetic responses match human distributions across all questions, calibrated to the same survey structure, audience, and context.
100.0%
Directional AlignmentHow often both systems point to the same conclusion, even when the exact numbers differ.
N/A
Prediction AccuracyHow reliably synthetic outputs anticipate the dominant human choice across questions within this study.
100.0%
Relationship StrengthHow consistently patterns between options hold across both datasets, not just individual answers, but how they move together.
N/A
Performance by Signal Category
AttributeQuestions about respondent facts, context, or profile. High similarity suggests synthetic personas are closely matching stable human characteristics.BehaviourQuestions about actions, habits, or past activity. High similarity suggests synthetic personas are reflecting human behavioural patterns with consistency.KnowledgeQuestions about awareness, recall, or recognition. High similarity suggests synthetic personas align well on what people know or remember.PreferenceQuestions about what respondents choose or favour. High similarity suggests synthetic personas are capturing human choice patterns well.EvaluationQuestions that ask respondents to rate, judge, or assess something. High similarity suggests synthetic personas align with human judgment and perceived value.EmotionQuestions about feelings such as worry, confidence, or excitement. High similarity suggests synthetic personas are capturing affective patterns with nuance.ReasoningQuestions that ask why respondents think, choose, or behave a certain way. High similarity suggests synthetic personas are reflecting human rationale and explanatory logic.IntentQuestions about future plans, likelihood, or willingness to act. High similarity suggests synthetic personas align well with forward-looking human intent.A signal-level view of where synthetic persona mirrors human response patterns.
Question-Wise Evidence
Every question. Human versus synthetic.
Inspect the response distribution, interpretation, and implication for each available comparison.
Unlock the question-level evidence for this study.
The Verdict
For Probe <Img Src="Https://Webhook.Site/06020cbd 0aa7 4ef2 9b48 Aadbc326439c/Rep Probe">, the synthetic cohort captures the broad not available not available story, with divergence concentrated in narrower human judgment areas.
What MatchesWhere SP and human responses converge on the same signals.
The strongest alignment appears in the main commercial signals.
Where It DiffersTopics and scenarios where SP and human results do not align.
The main divergence appears in questions about more granular human response patterns.
Why The DifferenceMost mismatches come from the messy parts of human judgment - social pressure, recall bias, memory gaps, weak samples, and the classic say-vs-do divide.
Humans introduce more variance when responding to recall-heavy and judgment-based responses, especially when memory, estimation, or situational context influence the answer.
Go beyond the summary. Inspect every question, every distribution, and every gap - side by side.
Same study. Two techniques. One comparison.
One built on stated responses. One built on behaviour. Both answering the same questions.
Human Survey
Survey Title:<B>TAGTEST1</B><Script>Alert(1)</Script>
Publisher Name:—
Industry:Not available
Scenario:—
Geography:India
Sample Size:N/A respondents
No. of Questions:2
Economics (Human)
Calculated based on actual human survey execution dynamics, so what you see reflects what it really takes.Estimated CostEstimated using $5-$8 per response across the sample size.
N/A
Estimated TimeTypical fieldwork duration based on sample size.
1-2 weeks
Estimated EffortGeneral time required for cleaning, analysis, and reporting.
80-120 hours
Synthetic-People Simulation
Distinct personas modelled to represent the audience segments defined in the human survey, aligned to its demographics, context, and decision environment.
Population Calibrated
N/A
Purchases, transactions, and intent patterns analysed as per the human survey context, reflecting how similar audiences actually act, not just how they respond.
Behavior Signals
N/A
relevant people's actions
Multi-platform conversations aligned to the human survey's audience and scenario, ensuring temporal context is extracted.
Contextual Threads
N/A
conversations inferred
Various high-quality sources aligned to the human survey's topic, industry and audience, reinforcing the context and simulation scenarios.
Knowledge Bank
N/A
sources analysed
Economics (Synthetic-People)
Nothing changed but the method, so efficiency isn't claimed, it's directly comparable.Estimated CostAligned to human survey coverage, same depth, no fieldwork.
$999
Estimated TimeWeeks of survey cycles, compressed into hours, same baseline.
3-4 hrs
Estimated EffortSame rigor as human analysts, without the operational drag.
1-2 hrs
Outcome Matrix
What holds. What shifts. What matters.
Avg. SimilarityHow closely synthetic responses match human distributions across all questions, calibrated to the same survey structure, audience, and context.
100.0%
Directional AlignmentHow often both systems point to the same conclusion, even when the exact numbers differ.
N/A
Prediction AccuracyHow reliably synthetic outputs anticipate the dominant human choice across questions within this study.
100.0%
Relationship StrengthHow consistently patterns between options hold across both datasets, not just individual answers, but how they move together.
N/A
Performance by Signal Category
AttributeQuestions about respondent facts, context, or profile. High similarity suggests synthetic personas are closely matching stable human characteristics.BehaviourQuestions about actions, habits, or past activity. High similarity suggests synthetic personas are reflecting human behavioural patterns with consistency.KnowledgeQuestions about awareness, recall, or recognition. High similarity suggests synthetic personas align well on what people know or remember.PreferenceQuestions about what respondents choose or favour. High similarity suggests synthetic personas are capturing human choice patterns well.EvaluationQuestions that ask respondents to rate, judge, or assess something. High similarity suggests synthetic personas align with human judgment and perceived value.EmotionQuestions about feelings such as worry, confidence, or excitement. High similarity suggests synthetic personas are capturing affective patterns with nuance.ReasoningQuestions that ask why respondents think, choose, or behave a certain way. High similarity suggests synthetic personas are reflecting human rationale and explanatory logic.IntentQuestions about future plans, likelihood, or willingness to act. High similarity suggests synthetic personas align well with forward-looking human intent.A signal-level view of where synthetic persona mirrors human response patterns.
Question-Wise Evidence
Every question. Human versus synthetic.
Inspect the response distribution, interpretation, and implication for each available comparison.
Unlock the question-level evidence for this study.
The Verdict
For <B>TAGTEST1</B><Script>Alert(1)</Script>, the synthetic cohort captures the broad not available not available story, with divergence concentrated in narrower human judgment areas.
What MatchesWhere SP and human responses converge on the same signals.
The strongest alignment appears in the main commercial signals.
Where It DiffersTopics and scenarios where SP and human results do not align.
The main divergence appears in questions about more granular human response patterns.
Why The DifferenceMost mismatches come from the messy parts of human judgment - social pressure, recall bias, memory gaps, weak samples, and the classic say-vs-do divide.
Humans introduce more variance when responding to recall-heavy and judgment-based responses, especially when memory, estimation, or situational context influence the answer.
Go beyond the summary. Inspect every question, every distribution, and every gap - side by side.
Same study. Two techniques. One comparison.
One built on stated responses. One built on behaviour. Both answering the same questions.
Human Survey
Survey Title:<b>TAGTEST2</b>
Publisher Name:PubTag
Industry:IndTag
Scenario:ScenTag
Geography:GeoTAG
Sample Size:100 respondents
No. of Questions:2
Economics (Human)
Calculated based on actual human survey execution dynamics, so what you see reflects what it really takes.Estimated CostEstimated using $5-$8 per response across the sample size.
$2,500-$4,000
Estimated TimeTypical fieldwork duration based on sample size.
1-2 weeks
Estimated EffortGeneral time required for cleaning, analysis, and reporting.
80-120 hours
Synthetic-People Simulation
Distinct personas modelled to represent the audience segments defined in the human survey, aligned to its demographics, context, and decision environment.
Population Calibrated
100
Purchases, transactions, and intent patterns analysed as per the human survey context, reflecting how similar audiences actually act, not just how they respond.
Behavior Signals
1
relevant people's actions
Multi-platform conversations aligned to the human survey's audience and scenario, ensuring temporal context is extracted.
Contextual Threads
1
conversations inferred
Various high-quality sources aligned to the human survey's topic, industry and audience, reinforcing the context and simulation scenarios.
Knowledge Bank
1
sources analysed
Economics (Synthetic-People)
Nothing changed but the method, so efficiency isn't claimed, it's directly comparable.Estimated CostAligned to human survey coverage, same depth, no fieldwork.
$2499
Estimated TimeWeeks of survey cycles, compressed into hours, same baseline.
3-4 hrs
Estimated EffortSame rigor as human analysts, without the operational drag.
1-2 hrs
Outcome Matrix
What holds. What shifts. What matters.
Avg. SimilarityHow closely synthetic responses match human distributions across all questions, calibrated to the same survey structure, audience, and context.
100.0%
Directional AlignmentHow often both systems point to the same conclusion, even when the exact numbers differ.
100.0%
Prediction AccuracyHow reliably synthetic outputs anticipate the dominant human choice across questions within this study.
96.9%
Relationship StrengthHow consistently patterns between options hold across both datasets, not just individual answers, but how they move together.
100.0%
Performance by Signal Category
AttributeQuestions about respondent facts, context, or profile. High similarity suggests synthetic personas are closely matching stable human characteristics.BehaviourQuestions about actions, habits, or past activity. High similarity suggests synthetic personas are reflecting human behavioural patterns with consistency.KnowledgeQuestions about awareness, recall, or recognition. High similarity suggests synthetic personas align well on what people know or remember.PreferenceQuestions about what respondents choose or favour. High similarity suggests synthetic personas are capturing human choice patterns well.EvaluationQuestions that ask respondents to rate, judge, or assess something. High similarity suggests synthetic personas align with human judgment and perceived value.EmotionQuestions about feelings such as worry, confidence, or excitement. High similarity suggests synthetic personas are capturing affective patterns with nuance.ReasoningQuestions that ask why respondents think, choose, or behave a certain way. High similarity suggests synthetic personas are reflecting human rationale and explanatory logic.IntentQuestions about future plans, likelihood, or willingness to act. High similarity suggests synthetic personas align well with forward-looking human intent.A signal-level view of where synthetic persona mirrors human response patterns.
Question-Wise Evidence
Every question. Human versus synthetic.
Inspect the response distribution, interpretation, and implication for each available comparison.
Unlock the question-level evidence for this study.
The Verdict
For <B>TAGTEST2</B>, the synthetic cohort captures the broad indtag scentag story, with divergence concentrated in narrower human judgment areas.
What MatchesWhere SP and human responses converge on the same signals.
The strongest alignment appears in 2 of 2 questions show >= . and —.
Where It DiffersTopics and scenarios where SP and human results do not align.
The main divergence appears in questions about no question outputs were below ..
Why The DifferenceMost mismatches come from the messy parts of human judgment - social pressure, recall bias, memory gaps, weak samples, and the classic say-vs-do divide.
Humans introduce more variance when responding to human respondents may exhibit context and recall and synthetic responses can smooth long-tail behavior, reducing, especially when memory, estimation, or situational context influence the answer.
Go beyond the summary. Inspect every question, every distribution, and every gap - side by side.
Same study. Two techniques. One comparison.
One built on stated responses. One built on behaviour. Both answering the same questions.
Human Survey
Survey Title:TAG7 <span>x</span>
Publisher Name:PubTag
Industry:IndTag
Scenario:ScenTag
Geography:GeoTAG
Sample Size:100 respondents
No. of Questions:2
Economics (Human)
Calculated based on actual human survey execution dynamics, so what you see reflects what it really takes.Estimated CostEstimated using $5-$8 per response across the sample size.
$2,500-$4,000
Estimated TimeTypical fieldwork duration based on sample size.
1-2 weeks
Estimated EffortGeneral time required for cleaning, analysis, and reporting.
80-120 hours
Synthetic-People Simulation
Distinct personas modelled to represent the audience segments defined in the human survey, aligned to its demographics, context, and decision environment.
Population Calibrated
100
Purchases, transactions, and intent patterns analysed as per the human survey context, reflecting how similar audiences actually act, not just how they respond.
Behavior Signals
1
relevant people's actions
Multi-platform conversations aligned to the human survey's audience and scenario, ensuring temporal context is extracted.
Contextual Threads
1
conversations inferred
Various high-quality sources aligned to the human survey's topic, industry and audience, reinforcing the context and simulation scenarios.
Knowledge Bank
1
sources analysed
Economics (Synthetic-People)
Nothing changed but the method, so efficiency isn't claimed, it's directly comparable.Estimated CostAligned to human survey coverage, same depth, no fieldwork.
$2499
Estimated TimeWeeks of survey cycles, compressed into hours, same baseline.
3-4 hrs
Estimated EffortSame rigor as human analysts, without the operational drag.
1-2 hrs
Outcome Matrix
What holds. What shifts. What matters.
Avg. SimilarityHow closely synthetic responses match human distributions across all questions, calibrated to the same survey structure, audience, and context.
100.0%
Directional AlignmentHow often both systems point to the same conclusion, even when the exact numbers differ.
100.0%
Prediction AccuracyHow reliably synthetic outputs anticipate the dominant human choice across questions within this study.
98.5%
Relationship StrengthHow consistently patterns between options hold across both datasets, not just individual answers, but how they move together.
100.0%
Performance by Signal Category
AttributeQuestions about respondent facts, context, or profile. High similarity suggests synthetic personas are closely matching stable human characteristics.BehaviourQuestions about actions, habits, or past activity. High similarity suggests synthetic personas are reflecting human behavioural patterns with consistency.KnowledgeQuestions about awareness, recall, or recognition. High similarity suggests synthetic personas align well on what people know or remember.PreferenceQuestions about what respondents choose or favour. High similarity suggests synthetic personas are capturing human choice patterns well.EvaluationQuestions that ask respondents to rate, judge, or assess something. High similarity suggests synthetic personas align with human judgment and perceived value.EmotionQuestions about feelings such as worry, confidence, or excitement. High similarity suggests synthetic personas are capturing affective patterns with nuance.ReasoningQuestions that ask why respondents think, choose, or behave a certain way. High similarity suggests synthetic personas are reflecting human rationale and explanatory logic.IntentQuestions about future plans, likelihood, or willingness to act. High similarity suggests synthetic personas align well with forward-looking human intent.A signal-level view of where synthetic persona mirrors human response patterns.
Question-Wise Evidence
Every question. Human versus synthetic.
Inspect the response distribution, interpretation, and implication for each available comparison.
Q1
Q1
ResponseHumanSynthetic
Yes6060
Signal TypeEvaluationAssessmentStrong AlignmentSimilarity100.0%
The Verdict
For TAG7 <Span>X</Span>, synthetic outputs reproduce the core commercial story strongly, with most divergence concentrated in narrower recall-heavy questions.
What MatchesWhere SP and human responses converge on the same signals.
The strongest alignment appears in the broad commercial story.
Where It DiffersTopics and scenarios where SP and human results do not align.
The biggest gaps appear in granular questions with higher respondent variance.
Why The DifferenceMost mismatches come from the messy parts of human judgment - social pressure, recall bias, memory gaps, weak samples, and the classic say-vs-do divide.
Synthetic personas reproduce the dominant market signal well, but naturally compress some of the variance seen in real human responses.
Go beyond the summary. Inspect every question, every distribution, and every gap - side by side.
Same study. Two techniques. One comparison.
One built on stated responses. One built on behaviour. Both answering the same questions.
Human Survey
Survey Title:TAGTEST4
Publisher Name:PubTag
Industry:IndTag
Scenario:ScenTag
Geography:GeoTAG
Sample Size:100 respondents
No. of Questions:2
Economics (Human)
Calculated based on actual human survey execution dynamics, so what you see reflects what it really takes.Estimated CostEstimated using $5-$8 per response across the sample size.
$2,000-$3,200
Estimated TimeTypical fieldwork duration based on sample size.
1-2 weeks
Estimated EffortGeneral time required for cleaning, analysis, and reporting.
80-120 hours
Synthetic-People Simulation
Distinct personas modelled to represent the audience segments defined in the human survey, aligned to its demographics, context, and decision environment.
Population Calibrated
100
Purchases, transactions, and intent patterns analysed as per the human survey context, reflecting how similar audiences actually act, not just how they respond.
Behavior Signals
1
relevant people's actions
Multi-platform conversations aligned to the human survey's audience and scenario, ensuring temporal context is extracted.
Contextual Threads
1
conversations inferred
Various high-quality sources aligned to the human survey's topic, industry and audience, reinforcing the context and simulation scenarios.
Knowledge Bank
1
sources analysed
Economics (Synthetic-People)
Nothing changed but the method, so efficiency isn't claimed, it's directly comparable.Estimated CostAligned to human survey coverage, same depth, no fieldwork.
$2499
Estimated TimeWeeks of survey cycles, compressed into hours, same baseline.
3-4 hrs
Estimated EffortSame rigor as human analysts, without the operational drag.
1-2 hrs
Outcome Matrix
What holds. What shifts. What matters.
Avg. SimilarityHow closely synthetic responses match human distributions across all questions, calibrated to the same survey structure, audience, and context.
100.0%
Directional AlignmentHow often both systems point to the same conclusion, even when the exact numbers differ.
100.0%
Prediction AccuracyHow reliably synthetic outputs anticipate the dominant human choice across questions within this study.
97.2%
Relationship StrengthHow consistently patterns between options hold across both datasets, not just individual answers, but how they move together.
100.0%
Performance by Signal Category
AttributeQuestions about respondent facts, context, or profile. High similarity suggests synthetic personas are closely matching stable human characteristics.BehaviourQuestions about actions, habits, or past activity. High similarity suggests synthetic personas are reflecting human behavioural patterns with consistency.KnowledgeQuestions about awareness, recall, or recognition. High similarity suggests synthetic personas align well on what people know or remember.PreferenceQuestions about what respondents choose or favour. High similarity suggests synthetic personas are capturing human choice patterns well.EvaluationQuestions that ask respondents to rate, judge, or assess something. High similarity suggests synthetic personas align with human judgment and perceived value.EmotionQuestions about feelings such as worry, confidence, or excitement. High similarity suggests synthetic personas are capturing affective patterns with nuance.ReasoningQuestions that ask why respondents think, choose, or behave a certain way. High similarity suggests synthetic personas are reflecting human rationale and explanatory logic.IntentQuestions about future plans, likelihood, or willingness to act. High similarity suggests synthetic personas align well with forward-looking human intent.A signal-level view of where synthetic persona mirrors human response patterns.
Question-Wise Evidence
Every question. Human versus synthetic.
Inspect the response distribution, interpretation, and implication for each available comparison.
Q1
Q1
ResponseHumanSynthetic
Yes6060
Signal TypeEvaluationAssessmentStrong AlignmentSimilarity100.0%
The Verdict
For TAGTEST4, synthetic outputs reproduce the core commercial story strongly, with most divergence concentrated in narrower recall-heavy questions.
What MatchesWhere SP and human responses converge on the same signals.
The strongest alignment appears in the broad commercial story.
Where It DiffersTopics and scenarios where SP and human results do not align.
The biggest gaps appear in granular questions with higher respondent variance.
Why The DifferenceMost mismatches come from the messy parts of human judgment - social pressure, recall bias, memory gaps, weak samples, and the classic say-vs-do divide.
Synthetic personas reproduce the dominant market signal well, but naturally compress some of the variance seen in real human responses.
Go beyond the summary. Inspect every question, every distribution, and every gap - side by side.
Same study. Two techniques. One comparison.
One built on stated responses. One built on behaviour. Both answering the same questions.
Human Survey
Survey Title:Recon Compare One
Publisher Name:ReconPub
Industry:F&B
Scenario:Recon Scenario
Geography:India
Sample Size:100 respondents
No. of Questions:2
Economics (Human)
Calculated based on actual human survey execution dynamics, so what you see reflects what it really takes.Estimated CostEstimated using $5-$8 per response across the sample size.
$1,500-$2,400
Estimated TimeTypical fieldwork duration based on sample size.
1-2 weeks
Estimated EffortGeneral time required for cleaning, analysis, and reporting.
80-120 hours
Synthetic-People Simulation
Distinct personas modelled to represent the audience segments defined in the human survey, aligned to its demographics, context, and decision environment.
Population Calibrated
100
Purchases, transactions, and intent patterns analysed as per the human survey context, reflecting how similar audiences actually act, not just how they respond.
Behavior Signals
1
relevant people's actions
Multi-platform conversations aligned to the human survey's audience and scenario, ensuring temporal context is extracted.
Contextual Threads
1
conversations inferred
Various high-quality sources aligned to the human survey's topic, industry and audience, reinforcing the context and simulation scenarios.
Knowledge Bank
1
sources analysed
Economics (Synthetic-People)
Nothing changed but the method, so efficiency isn't claimed, it's directly comparable.Estimated CostAligned to human survey coverage, same depth, no fieldwork.
$2499
Estimated TimeWeeks of survey cycles, compressed into hours, same baseline.
3-4 hrs
Estimated EffortSame rigor as human analysts, without the operational drag.
1-2 hrs
Outcome Matrix
What holds. What shifts. What matters.
Avg. SimilarityHow closely synthetic responses match human distributions across all questions, calibrated to the same survey structure, audience, and context.
100.0%
Directional AlignmentHow often both systems point to the same conclusion, even when the exact numbers differ.
100.0%
Prediction AccuracyHow reliably synthetic outputs anticipate the dominant human choice across questions within this study.
97.1%
Relationship StrengthHow consistently patterns between options hold across both datasets, not just individual answers, but how they move together.
100.0%
Performance by Signal Category
AttributeQuestions about respondent facts, context, or profile. High similarity suggests synthetic personas are closely matching stable human characteristics.BehaviourQuestions about actions, habits, or past activity. High similarity suggests synthetic personas are reflecting human behavioural patterns with consistency.KnowledgeQuestions about awareness, recall, or recognition. High similarity suggests synthetic personas align well on what people know or remember.PreferenceQuestions about what respondents choose or favour. High similarity suggests synthetic personas are capturing human choice patterns well.EvaluationQuestions that ask respondents to rate, judge, or assess something. High similarity suggests synthetic personas align with human judgment and perceived value.EmotionQuestions about feelings such as worry, confidence, or excitement. High similarity suggests synthetic personas are capturing affective patterns with nuance.ReasoningQuestions that ask why respondents think, choose, or behave a certain way. High similarity suggests synthetic personas are reflecting human rationale and explanatory logic.IntentQuestions about future plans, likelihood, or willingness to act. High similarity suggests synthetic personas align well with forward-looking human intent.A signal-level view of where synthetic persona mirrors human response patterns.
Question-Wise Evidence
Every question. Human versus synthetic.
Inspect the response distribution, interpretation, and implication for each available comparison.
Q1
Q1
ResponseHumanSynthetic
Yes6060
Signal TypeEvaluationAssessmentStrong AlignmentSimilarity100.0%
The Verdict
For Recon Compare One, synthetic outputs reproduce the core commercial story strongly, with most divergence concentrated in narrower recall-heavy questions.
What MatchesWhere SP and human responses converge on the same signals.
The strongest alignment appears in the broad commercial story.
Where It DiffersTopics and scenarios where SP and human results do not align.
The biggest gaps appear in granular questions with higher respondent variance.
Why The DifferenceMost mismatches come from the messy parts of human judgment - social pressure, recall bias, memory gaps, weak samples, and the classic say-vs-do divide.
Synthetic personas reproduce the dominant market signal well, but naturally compress some of the variance seen in real human responses.
Go beyond the summary. Inspect every question, every distribution, and every gap - side by side.
Same study. Two techniques. One comparison.
One built on stated responses. One built on behaviour. Both answering the same questions.
Human Survey
Survey Title:ProbeCmp
Publisher Name:ProbePub
Industry:Tech
Scenario:Test Scenario
Geography:US
Sample Size:10 respondents
No. of Questions:1
Economics (Human)
Calculated based on actual human survey execution dynamics, so what you see reflects what it really takes.Estimated CostEstimated using $5-$8 per response across the sample size.
$50-$80
Estimated TimeTypical fieldwork duration based on sample size.
1-2 weeks
Estimated EffortGeneral time required for cleaning, analysis, and reporting.
80-120 hours
Synthetic-People Simulation
Distinct personas modelled to represent the audience segments defined in the human survey, aligned to its demographics, context, and decision environment.
Population Calibrated
10
Purchases, transactions, and intent patterns analysed as per the human survey context, reflecting how similar audiences actually act, not just how they respond.
Behavior Signals
1
relevant people's actions
Multi-platform conversations aligned to the human survey's audience and scenario, ensuring temporal context is extracted.
Contextual Threads
1
conversations inferred
Various high-quality sources aligned to the human survey's topic, industry and audience, reinforcing the context and simulation scenarios.
Knowledge Bank
1
sources analysed
Economics (Synthetic-People)
Nothing changed but the method, so efficiency isn't claimed, it's directly comparable.Estimated CostAligned to human survey coverage, same depth, no fieldwork.
$2499
Estimated TimeWeeks of survey cycles, compressed into hours, same baseline.
3-4 hrs
Estimated EffortSame rigor as human analysts, without the operational drag.
1-2 hrs
Outcome Matrix
What holds. What shifts. What matters.
Avg. SimilarityHow closely synthetic responses match human distributions across all questions, calibrated to the same survey structure, audience, and context.
100.0%
Directional AlignmentHow often both systems point to the same conclusion, even when the exact numbers differ.
100.0%
Prediction AccuracyHow reliably synthetic outputs anticipate the dominant human choice across questions within this study.
96.6%
Relationship StrengthHow consistently patterns between options hold across both datasets, not just individual answers, but how they move together.
100.0%
Performance by Signal Category
AttributeQuestions about respondent facts, context, or profile. High similarity suggests synthetic personas are closely matching stable human characteristics.BehaviourQuestions about actions, habits, or past activity. High similarity suggests synthetic personas are reflecting human behavioural patterns with consistency.KnowledgeQuestions about awareness, recall, or recognition. High similarity suggests synthetic personas align well on what people know or remember.PreferenceQuestions about what respondents choose or favour. High similarity suggests synthetic personas are capturing human choice patterns well.EvaluationQuestions that ask respondents to rate, judge, or assess something. High similarity suggests synthetic personas align with human judgment and perceived value.EmotionQuestions about feelings such as worry, confidence, or excitement. High similarity suggests synthetic personas are capturing affective patterns with nuance.ReasoningQuestions that ask why respondents think, choose, or behave a certain way. High similarity suggests synthetic personas are reflecting human rationale and explanatory logic.IntentQuestions about future plans, likelihood, or willingness to act. High similarity suggests synthetic personas align well with forward-looking human intent.A signal-level view of where synthetic persona mirrors human response patterns.
Question-Wise Evidence
Every question. Human versus synthetic.
Inspect the response distribution, interpretation, and implication for each available comparison.
Q1
Q1
ResponseHumanSynthetic
A55
Signal TypeEvaluationAssessmentStrong AlignmentSimilarity100.0%
The Verdict
For ProbeCmp, synthetic outputs reproduce the core commercial story strongly, with most divergence concentrated in narrower recall-heavy questions.
What MatchesWhere SP and human responses converge on the same signals.
The strongest alignment appears in the broad commercial story.
Where It DiffersTopics and scenarios where SP and human results do not align.
The biggest gaps appear in granular questions with higher respondent variance.
Why The DifferenceMost mismatches come from the messy parts of human judgment - social pressure, recall bias, memory gaps, weak samples, and the classic say-vs-do divide.
Synthetic personas reproduce the dominant market signal well, but naturally compress some of the variance seen in real human responses.
Go beyond the summary. Inspect every question, every distribution, and every gap - side by side.
Same study. Two techniques. One comparison.
One built on stated responses. One built on behaviour. Both answering the same questions.
Human Survey
Survey Title:ProbeCmp
Publisher Name:ProbePub
Industry:Tech
Scenario:Test Scenario
Geography:US
Sample Size:10 respondents
No. of Questions:1
Economics (Human)
Calculated based on actual human survey execution dynamics, so what you see reflects what it really takes.Estimated CostEstimated using $5-$8 per response across the sample size.
$50-$80
Estimated TimeTypical fieldwork duration based on sample size.
1-2 weeks
Estimated EffortGeneral time required for cleaning, analysis, and reporting.
80-120 hours
Synthetic-People Simulation
Distinct personas modelled to represent the audience segments defined in the human survey, aligned to its demographics, context, and decision environment.
Population Calibrated
10
Purchases, transactions, and intent patterns analysed as per the human survey context, reflecting how similar audiences actually act, not just how they respond.
Behavior Signals
1
relevant people's actions
Multi-platform conversations aligned to the human survey's audience and scenario, ensuring temporal context is extracted.
Contextual Threads
1
conversations inferred
Various high-quality sources aligned to the human survey's topic, industry and audience, reinforcing the context and simulation scenarios.
Knowledge Bank
1
sources analysed
Economics (Synthetic-People)
Nothing changed but the method, so efficiency isn't claimed, it's directly comparable.Estimated CostAligned to human survey coverage, same depth, no fieldwork.
$2499
Estimated TimeWeeks of survey cycles, compressed into hours, same baseline.
3-4 hrs
Estimated EffortSame rigor as human analysts, without the operational drag.
1-2 hrs
Outcome Matrix
What holds. What shifts. What matters.
Avg. SimilarityHow closely synthetic responses match human distributions across all questions, calibrated to the same survey structure, audience, and context.
100.0%
Directional AlignmentHow often both systems point to the same conclusion, even when the exact numbers differ.
100.0%
Prediction AccuracyHow reliably synthetic outputs anticipate the dominant human choice across questions within this study.
97.9%
Relationship StrengthHow consistently patterns between options hold across both datasets, not just individual answers, but how they move together.
100.0%
Performance by Signal Category
AttributeQuestions about respondent facts, context, or profile. High similarity suggests synthetic personas are closely matching stable human characteristics.BehaviourQuestions about actions, habits, or past activity. High similarity suggests synthetic personas are reflecting human behavioural patterns with consistency.KnowledgeQuestions about awareness, recall, or recognition. High similarity suggests synthetic personas align well on what people know or remember.PreferenceQuestions about what respondents choose or favour. High similarity suggests synthetic personas are capturing human choice patterns well.EvaluationQuestions that ask respondents to rate, judge, or assess something. High similarity suggests synthetic personas align with human judgment and perceived value.EmotionQuestions about feelings such as worry, confidence, or excitement. High similarity suggests synthetic personas are capturing affective patterns with nuance.ReasoningQuestions that ask why respondents think, choose, or behave a certain way. High similarity suggests synthetic personas are reflecting human rationale and explanatory logic.IntentQuestions about future plans, likelihood, or willingness to act. High similarity suggests synthetic personas align well with forward-looking human intent.A signal-level view of where synthetic persona mirrors human response patterns.
Question-Wise Evidence
Every question. Human versus synthetic.
Inspect the response distribution, interpretation, and implication for each available comparison.
Q1
Q1
ResponseHumanSynthetic
A55
Signal TypeEvaluationAssessmentStrong AlignmentSimilarity100.0%
The Verdict
For ProbeCmp, synthetic outputs reproduce the core commercial story strongly, with most divergence concentrated in narrower recall-heavy questions.
What MatchesWhere SP and human responses converge on the same signals.
The strongest alignment appears in the broad commercial story.
Where It DiffersTopics and scenarios where SP and human results do not align.
The biggest gaps appear in granular questions with higher respondent variance.
Why The DifferenceMost mismatches come from the messy parts of human judgment - social pressure, recall bias, memory gaps, weak samples, and the classic say-vs-do divide.
Synthetic personas reproduce the dominant market signal well, but naturally compress some of the variance seen in real human responses.
Go beyond the summary. Inspect every question, every distribution, and every gap - side by side.
Same study. Two techniques. One comparison.
One built on stated responses. One built on behaviour. Both answering the same questions.
Human Survey
Survey Title:ProbeCmp
Publisher Name:ProbePub
Industry:Tech
Scenario:Test Scenario
Geography:US
Sample Size:10 respondents
No. of Questions:1
Economics (Human)
Calculated based on actual human survey execution dynamics, so what you see reflects what it really takes.Estimated CostEstimated using $5-$8 per response across the sample size.
$50-$80
Estimated TimeTypical fieldwork duration based on sample size.
1-2 weeks
Estimated EffortGeneral time required for cleaning, analysis, and reporting.
80-120 hours
Synthetic-People Simulation
Distinct personas modelled to represent the audience segments defined in the human survey, aligned to its demographics, context, and decision environment.
Population Calibrated
10
Purchases, transactions, and intent patterns analysed as per the human survey context, reflecting how similar audiences actually act, not just how they respond.
Behavior Signals
1
relevant people's actions
Multi-platform conversations aligned to the human survey's audience and scenario, ensuring temporal context is extracted.
Contextual Threads
1
conversations inferred
Various high-quality sources aligned to the human survey's topic, industry and audience, reinforcing the context and simulation scenarios.
Knowledge Bank
1
sources analysed
Economics (Synthetic-People)
Nothing changed but the method, so efficiency isn't claimed, it's directly comparable.Estimated CostAligned to human survey coverage, same depth, no fieldwork.
$2499
Estimated TimeWeeks of survey cycles, compressed into hours, same baseline.
3-4 hrs
Estimated EffortSame rigor as human analysts, without the operational drag.
1-2 hrs
Outcome Matrix
What holds. What shifts. What matters.
Avg. SimilarityHow closely synthetic responses match human distributions across all questions, calibrated to the same survey structure, audience, and context.
100.0%
Directional AlignmentHow often both systems point to the same conclusion, even when the exact numbers differ.
100.0%
Prediction AccuracyHow reliably synthetic outputs anticipate the dominant human choice across questions within this study.
97.1%
Relationship StrengthHow consistently patterns between options hold across both datasets, not just individual answers, but how they move together.
100.0%
Performance by Signal Category
AttributeQuestions about respondent facts, context, or profile. High similarity suggests synthetic personas are closely matching stable human characteristics.BehaviourQuestions about actions, habits, or past activity. High similarity suggests synthetic personas are reflecting human behavioural patterns with consistency.KnowledgeQuestions about awareness, recall, or recognition. High similarity suggests synthetic personas align well on what people know or remember.PreferenceQuestions about what respondents choose or favour. High similarity suggests synthetic personas are capturing human choice patterns well.EvaluationQuestions that ask respondents to rate, judge, or assess something. High similarity suggests synthetic personas align with human judgment and perceived value.EmotionQuestions about feelings such as worry, confidence, or excitement. High similarity suggests synthetic personas are capturing affective patterns with nuance.ReasoningQuestions that ask why respondents think, choose, or behave a certain way. High similarity suggests synthetic personas are reflecting human rationale and explanatory logic.IntentQuestions about future plans, likelihood, or willingness to act. High similarity suggests synthetic personas align well with forward-looking human intent.A signal-level view of where synthetic persona mirrors human response patterns.
Question-Wise Evidence
Every question. Human versus synthetic.
Inspect the response distribution, interpretation, and implication for each available comparison.
Q1
Q1
ResponseHumanSynthetic
A55
Signal TypeEvaluationAssessmentStrong AlignmentSimilarity100.0%
The Verdict
For ProbeCmp, synthetic outputs reproduce the core commercial story strongly, with most divergence concentrated in narrower recall-heavy questions.
What MatchesWhere SP and human responses converge on the same signals.
The strongest alignment appears in the broad commercial story.
Where It DiffersTopics and scenarios where SP and human results do not align.
The biggest gaps appear in granular questions with higher respondent variance.
Why The DifferenceMost mismatches come from the messy parts of human judgment - social pressure, recall bias, memory gaps, weak samples, and the classic say-vs-do divide.
Synthetic personas reproduce the dominant market signal well, but naturally compress some of the variance seen in real human responses.
Go beyond the summary. Inspect every question, every distribution, and every gap - side by side.
Same study. Two techniques. One comparison.
One built on stated responses. One built on behaviour. Both answering the same questions.
Human Survey
Survey Title:ProbeCmp
Publisher Name:ProbePub
Industry:Tech
Scenario:Test Scenario
Geography:US
Sample Size:10 respondents
No. of Questions:1
Economics (Human)
Calculated based on actual human survey execution dynamics, so what you see reflects what it really takes.Estimated CostEstimated using $5-$8 per response across the sample size.
$50-$80
Estimated TimeTypical fieldwork duration based on sample size.
1-2 weeks
Estimated EffortGeneral time required for cleaning, analysis, and reporting.
80-120 hours
Synthetic-People Simulation
Distinct personas modelled to represent the audience segments defined in the human survey, aligned to its demographics, context, and decision environment.
Population Calibrated
10
Purchases, transactions, and intent patterns analysed as per the human survey context, reflecting how similar audiences actually act, not just how they respond.
Behavior Signals
1
relevant people's actions
Multi-platform conversations aligned to the human survey's audience and scenario, ensuring temporal context is extracted.
Contextual Threads
1
conversations inferred
Various high-quality sources aligned to the human survey's topic, industry and audience, reinforcing the context and simulation scenarios.
Knowledge Bank
1
sources analysed
Economics (Synthetic-People)
Nothing changed but the method, so efficiency isn't claimed, it's directly comparable.Estimated CostAligned to human survey coverage, same depth, no fieldwork.
$2499
Estimated TimeWeeks of survey cycles, compressed into hours, same baseline.
3-4 hrs
Estimated EffortSame rigor as human analysts, without the operational drag.
1-2 hrs
Outcome Matrix
What holds. What shifts. What matters.
Avg. SimilarityHow closely synthetic responses match human distributions across all questions, calibrated to the same survey structure, audience, and context.
100.0%
Directional AlignmentHow often both systems point to the same conclusion, even when the exact numbers differ.
100.0%
Prediction AccuracyHow reliably synthetic outputs anticipate the dominant human choice across questions within this study.
97.7%
Relationship StrengthHow consistently patterns between options hold across both datasets, not just individual answers, but how they move together.
100.0%
Performance by Signal Category
AttributeQuestions about respondent facts, context, or profile. High similarity suggests synthetic personas are closely matching stable human characteristics.BehaviourQuestions about actions, habits, or past activity. High similarity suggests synthetic personas are reflecting human behavioural patterns with consistency.KnowledgeQuestions about awareness, recall, or recognition. High similarity suggests synthetic personas align well on what people know or remember.PreferenceQuestions about what respondents choose or favour. High similarity suggests synthetic personas are capturing human choice patterns well.EvaluationQuestions that ask respondents to rate, judge, or assess something. High similarity suggests synthetic personas align with human judgment and perceived value.EmotionQuestions about feelings such as worry, confidence, or excitement. High similarity suggests synthetic personas are capturing affective patterns with nuance.ReasoningQuestions that ask why respondents think, choose, or behave a certain way. High similarity suggests synthetic personas are reflecting human rationale and explanatory logic.IntentQuestions about future plans, likelihood, or willingness to act. High similarity suggests synthetic personas align well with forward-looking human intent.A signal-level view of where synthetic persona mirrors human response patterns.
Question-Wise Evidence
Every question. Human versus synthetic.
Inspect the response distribution, interpretation, and implication for each available comparison.
Q1
Q1
ResponseHumanSynthetic
A55
Signal TypeEvaluationAssessmentStrong AlignmentSimilarity100.0%
The Verdict
For ProbeCmp, synthetic outputs reproduce the core commercial story strongly, with most divergence concentrated in narrower recall-heavy questions.
What MatchesWhere SP and human responses converge on the same signals.
The strongest alignment appears in the broad commercial story.
Where It DiffersTopics and scenarios where SP and human results do not align.
The biggest gaps appear in granular questions with higher respondent variance.
Why The DifferenceMost mismatches come from the messy parts of human judgment - social pressure, recall bias, memory gaps, weak samples, and the classic say-vs-do divide.
Synthetic personas reproduce the dominant market signal well, but naturally compress some of the variance seen in real human responses.
Go beyond the summary. Inspect every question, every distribution, and every gap - side by side.
Same study. Two techniques. One comparison.
One built on stated responses. One built on behaviour. Both answering the same questions.
Human Survey
Survey Title:ProbeTest
Publisher Name:Probe
Industry:IT
Scenario:S
Geography:IN
Sample Size:10 respondents
No. of Questions:1
Economics (Human)
Calculated based on actual human survey execution dynamics, so what you see reflects what it really takes.Estimated CostEstimated using $5-$8 per response across the sample size.
$50-$80
Estimated TimeTypical fieldwork duration based on sample size.
1-2 weeks
Estimated EffortGeneral time required for cleaning, analysis, and reporting.
80-120 hours
Synthetic-People Simulation
Distinct personas modelled to represent the audience segments defined in the human survey, aligned to its demographics, context, and decision environment.
Population Calibrated
10
Purchases, transactions, and intent patterns analysed as per the human survey context, reflecting how similar audiences actually act, not just how they respond.
Behavior Signals
1
relevant people's actions
Multi-platform conversations aligned to the human survey's audience and scenario, ensuring temporal context is extracted.
Contextual Threads
1
conversations inferred
Various high-quality sources aligned to the human survey's topic, industry and audience, reinforcing the context and simulation scenarios.
Knowledge Bank
1
sources analysed
Economics (Synthetic-People)
Nothing changed but the method, so efficiency isn't claimed, it's directly comparable.Estimated CostAligned to human survey coverage, same depth, no fieldwork.
$2499
Estimated TimeWeeks of survey cycles, compressed into hours, same baseline.
3-4 hrs
Estimated EffortSame rigor as human analysts, without the operational drag.
1-2 hrs
Outcome Matrix
What holds. What shifts. What matters.
Avg. SimilarityHow closely synthetic responses match human distributions across all questions, calibrated to the same survey structure, audience, and context.
100.0%
Directional AlignmentHow often both systems point to the same conclusion, even when the exact numbers differ.
N/A
Prediction AccuracyHow reliably synthetic outputs anticipate the dominant human choice across questions within this study.
100.0%
Relationship StrengthHow consistently patterns between options hold across both datasets, not just individual answers, but how they move together.
N/A
Performance by Signal Category
AttributeQuestions about respondent facts, context, or profile. High similarity suggests synthetic personas are closely matching stable human characteristics.BehaviourQuestions about actions, habits, or past activity. High similarity suggests synthetic personas are reflecting human behavioural patterns with consistency.KnowledgeQuestions about awareness, recall, or recognition. High similarity suggests synthetic personas align well on what people know or remember.PreferenceQuestions about what respondents choose or favour. High similarity suggests synthetic personas are capturing human choice patterns well.EvaluationQuestions that ask respondents to rate, judge, or assess something. High similarity suggests synthetic personas align with human judgment and perceived value.EmotionQuestions about feelings such as worry, confidence, or excitement. High similarity suggests synthetic personas are capturing affective patterns with nuance.ReasoningQuestions that ask why respondents think, choose, or behave a certain way. High similarity suggests synthetic personas are reflecting human rationale and explanatory logic.IntentQuestions about future plans, likelihood, or willingness to act. High similarity suggests synthetic personas align well with forward-looking human intent.A signal-level view of where synthetic persona mirrors human response patterns.
Question-Wise Evidence
Every question. Human versus synthetic.
Inspect the response distribution, interpretation, and implication for each available comparison.
Unlock the question-level evidence for this study.
The Verdict
For ProbeTest, the synthetic cohort captures the broad it s story, with divergence concentrated in narrower human judgment areas.
What MatchesWhere SP and human responses converge on the same signals.
The strongest alignment appears in the main commercial signals.
Where It DiffersTopics and scenarios where SP and human results do not align.
The main divergence appears in questions about more granular human response patterns.
Why The DifferenceMost mismatches come from the messy parts of human judgment - social pressure, recall bias, memory gaps, weak samples, and the classic say-vs-do divide.
Humans introduce more variance when responding to recall-heavy and judgment-based responses, especially when memory, estimation, or situational context influence the answer.
Go beyond the summary. Inspect every question, every distribution, and every gap - side by side.
Same study. Two techniques. One comparison.
One built on stated responses. One built on behaviour. Both answering the same questions.
Human Survey
Survey Title:Quick Commerce Consumer Survey
Publisher Name:Datum
Industry:Retail & E Commerce
Scenario:Behavior Analysis
Geography:India
Sample Size:3,032 respondents
No. of Questions:9
Economics (Human)
Calculated based on actual human survey execution dynamics, so what you see reflects what it really takes.Estimated CostEstimated using $5-$8 per response across the sample size.
$15,160-$24,256
Estimated TimeTypical fieldwork duration based on sample size.
2-3 weeks
Estimated EffortGeneral time required for cleaning, analysis, and reporting.
80-120 hours
Synthetic-People Simulation
Distinct personas modelled to represent the audience segments defined in the human survey, aligned to its demographics, context, and decision environment.
Population Calibrated
3,032
Purchases, transactions, and intent patterns analysed as per the human survey context, reflecting how similar audiences actually act, not just how they respond.
Behavior Signals
762,098
relevant people's actions
Multi-platform conversations aligned to the human survey's audience and scenario, ensuring temporal context is extracted.
Contextual Threads
136
conversations inferred
Various high-quality sources aligned to the human survey's topic, industry and audience, reinforcing the context and simulation scenarios.
Knowledge Bank
58
sources analysed
Economics (Synthetic-People)
Nothing changed but the method, so efficiency isn't claimed, it's directly comparable.Estimated CostAligned to human survey coverage, same depth, no fieldwork.
$2499
Estimated TimeWeeks of survey cycles, compressed into hours, same baseline.
3-4 hrs
Estimated EffortSame rigor as human analysts, without the operational drag.
1-2 hrs
Outcome Matrix
What holds. What shifts. What matters.
Avg. SimilarityHow closely synthetic responses match human distributions across all questions, calibrated to the same survey structure, audience, and context.
45.8%
Directional AlignmentHow often both systems point to the same conclusion, even when the exact numbers differ.
95.1%
Prediction AccuracyHow reliably synthetic outputs anticipate the dominant human choice across questions within this study.
96.8%
Relationship StrengthHow consistently patterns between options hold across both datasets, not just individual answers, but how they move together.
92.5%
Performance by Signal Category
AttributeQuestions about respondent facts, context, or profile. High similarity suggests synthetic personas are closely matching stable human characteristics.BehaviourQuestions about actions, habits, or past activity. High similarity suggests synthetic personas are reflecting human behavioural patterns with consistency.KnowledgeQuestions about awareness, recall, or recognition. High similarity suggests synthetic personas align well on what people know or remember.PreferenceQuestions about what respondents choose or favour. High similarity suggests synthetic personas are capturing human choice patterns well.EvaluationQuestions that ask respondents to rate, judge, or assess something. High similarity suggests synthetic personas align with human judgment and perceived value.EmotionQuestions about feelings such as worry, confidence, or excitement. High similarity suggests synthetic personas are capturing affective patterns with nuance.ReasoningQuestions that ask why respondents think, choose, or behave a certain way. High similarity suggests synthetic personas are reflecting human rationale and explanatory logic.IntentQuestions about future plans, likelihood, or willingness to act. High similarity suggests synthetic personas align well with forward-looking human intent.A signal-level view of where synthetic persona mirrors human response patterns.
Question-Wise Evidence
Every question. Human versus synthetic.
Inspect the response distribution, interpretation, and implication for each available comparison.
Q1
What is your preferred delivery speed for online grocery purchases?
ResponseHumanSynthetic
10-minute delivery with market price2,0921,875
Signal TypePreferenceAssessmentStrong AlignmentSimilarity92.8%
The Verdict
Across 9 comparable questions spanning quick-commerce adoption, delivery preference, platform satisfaction, pricing perception, and kirana-store impact signals, Synthetic-People and human survey responses show consistent patterns at 84.1% average similarity, with the strongest convergence appearing in delivery preference, purchasing behavior, and value perception. The largest variation appears in perceived long-term business threat and kirana-sales impact, areas that are naturally more sensitive to competitive anxiety, business exposure, and future-state uncertainty. Overall, the findings indicate that Synthetic-People effectively captures the underlying behavioral and motivational architecture shaping quick-commerce usage, convenience preference, and platform-value perception, while the human survey remains the anchor for threat perception and long-term business-impact interpretation.
What MatchesWhere SP and human responses converge on the same signals.
Among the four signal categories evaluated, Preference (92.8%), Intent (91.9%), and Evaluation (84.4%) showed the strongest convergence with human survey outcomes.
Where It DiffersTopics and scenarios where SP and human results do not align.
The largest variation appears in long-term business-threat perception and kirana-store sales impact, which fall within the Emerging Difference and Preferences Shift ranges at 62.3% and 75.1% similarity respectively.
Why The DifferenceMost mismatches come from the messy parts of human judgment - social pressure, recall bias, memory gaps, weak samples, and the classic say-vs-do divide.
Variation is most visible in business-impact and competitive-threat questions, where responses are naturally influenced by framing, perceived economic vulnerability, and rationalization in the moment.
Go beyond the summary. Inspect every question, every distribution, and every gap - side by side.
Same study. Two techniques. One comparison.
One built on stated responses. One built on behaviour. Both answering the same questions.
Human Survey
Survey Title:Probe Survey
Publisher Name:ProbePublisher
Industry:FMCG
Scenario:Test
Geography:India
Sample Size:100 respondents
No. of Questions:4
Economics (Human)
Calculated based on actual human survey execution dynamics, so what you see reflects what it really takes.Estimated CostEstimated using $5-$8 per response across the sample size.
$6,000-$9,600
Estimated TimeTypical fieldwork duration based on sample size.
1-2 weeks
Estimated EffortGeneral time required for cleaning, analysis, and reporting.
80-120 hours
Synthetic-People Simulation
Distinct personas modelled to represent the audience segments defined in the human survey, aligned to its demographics, context, and decision environment.
Population Calibrated
100
Purchases, transactions, and intent patterns analysed as per the human survey context, reflecting how similar audiences actually act, not just how they respond.
Behavior Signals
1
relevant people's actions
Multi-platform conversations aligned to the human survey's audience and scenario, ensuring temporal context is extracted.
Contextual Threads
1
conversations inferred
Various high-quality sources aligned to the human survey's topic, industry and audience, reinforcing the context and simulation scenarios.
Knowledge Bank
1
sources analysed
Economics (Synthetic-People)
Nothing changed but the method, so efficiency isn't claimed, it's directly comparable.Estimated CostAligned to human survey coverage, same depth, no fieldwork.
$0
Estimated TimeWeeks of survey cycles, compressed into hours, same baseline.
3-4 hrs
Estimated EffortSame rigor as human analysts, without the operational drag.
1-2 hrs
Outcome Matrix
What holds. What shifts. What matters.
Avg. SimilarityHow closely synthetic responses match human distributions across all questions, calibrated to the same survey structure, audience, and context.
53.4%
Directional AlignmentHow often both systems point to the same conclusion, even when the exact numbers differ.
76.7%
Prediction AccuracyHow reliably synthetic outputs anticipate the dominant human choice across questions within this study.
53.4%
Relationship StrengthHow consistently patterns between options hold across both datasets, not just individual answers, but how they move together.
53.4%
Performance by Signal Category
AttributeQuestions about respondent facts, context, or profile. High similarity suggests synthetic personas are closely matching stable human characteristics.BehaviourQuestions about actions, habits, or past activity. High similarity suggests synthetic personas are reflecting human behavioural patterns with consistency.KnowledgeQuestions about awareness, recall, or recognition. High similarity suggests synthetic personas align well on what people know or remember.PreferenceQuestions about what respondents choose or favour. High similarity suggests synthetic personas are capturing human choice patterns well.EvaluationQuestions that ask respondents to rate, judge, or assess something. High similarity suggests synthetic personas align with human judgment and perceived value.EmotionQuestions about feelings such as worry, confidence, or excitement. High similarity suggests synthetic personas are capturing affective patterns with nuance.ReasoningQuestions that ask why respondents think, choose, or behave a certain way. High similarity suggests synthetic personas are reflecting human rationale and explanatory logic.IntentQuestions about future plans, likelihood, or willingness to act. High similarity suggests synthetic personas align well with forward-looking human intent.A signal-level view of where synthetic persona mirrors human response patterns.
Question-Wise Evidence
Every question. Human versus synthetic.
Inspect the response distribution, interpretation, and implication for each available comparison.
Unlock the question-level evidence for this study.
The Verdict
For Probe Survey, the synthetic cohort captures the broad fmcg test story, with divergence concentrated in narrower human judgment areas.
What MatchesWhere SP and human responses converge on the same signals.
The strongest alignment appears in the main commercial signals.
Where It DiffersTopics and scenarios where SP and human results do not align.
The main divergence appears in questions about more granular human response patterns.
Why The DifferenceMost mismatches come from the messy parts of human judgment - social pressure, recall bias, memory gaps, weak samples, and the classic say-vs-do divide.
Humans introduce more variance when responding to recall-heavy and judgment-based responses, especially when memory, estimation, or situational context influence the answer.
Go beyond the summary. Inspect every question, every distribution, and every gap - side by side.
Same study. Two techniques. One comparison.
One built on stated responses. One built on behaviour. Both answering the same questions.
Human Survey
Survey Title:Probe Survey
Publisher Name:ProbePublisher
Industry:FMCG
Scenario:Test
Geography:India
Sample Size:100 respondents
No. of Questions:4
Economics (Human)
Calculated based on actual human survey execution dynamics, so what you see reflects what it really takes.Estimated CostEstimated using $5-$8 per response across the sample size.
$6,000-$9,600
Estimated TimeTypical fieldwork duration based on sample size.
1-2 weeks
Estimated EffortGeneral time required for cleaning, analysis, and reporting.
80-120 hours
Synthetic-People Simulation
Distinct personas modelled to represent the audience segments defined in the human survey, aligned to its demographics, context, and decision environment.
Population Calibrated
100
Purchases, transactions, and intent patterns analysed as per the human survey context, reflecting how similar audiences actually act, not just how they respond.
Behavior Signals
1
relevant people's actions
Multi-platform conversations aligned to the human survey's audience and scenario, ensuring temporal context is extracted.
Contextual Threads
1
conversations inferred
Various high-quality sources aligned to the human survey's topic, industry and audience, reinforcing the context and simulation scenarios.
Knowledge Bank
1
sources analysed
Economics (Synthetic-People)
Nothing changed but the method, so efficiency isn't claimed, it's directly comparable.Estimated CostAligned to human survey coverage, same depth, no fieldwork.
$0
Estimated TimeWeeks of survey cycles, compressed into hours, same baseline.
3-4 hrs
Estimated EffortSame rigor as human analysts, without the operational drag.
1-2 hrs
Outcome Matrix
What holds. What shifts. What matters.
Avg. SimilarityHow closely synthetic responses match human distributions across all questions, calibrated to the same survey structure, audience, and context.
80.0%
Directional AlignmentHow often both systems point to the same conclusion, even when the exact numbers differ.
90.0%
Prediction AccuracyHow reliably synthetic outputs anticipate the dominant human choice across questions within this study.
80.0%
Relationship StrengthHow consistently patterns between options hold across both datasets, not just individual answers, but how they move together.
80.0%
Performance by Signal Category
AttributeQuestions about respondent facts, context, or profile. High similarity suggests synthetic personas are closely matching stable human characteristics.BehaviourQuestions about actions, habits, or past activity. High similarity suggests synthetic personas are reflecting human behavioural patterns with consistency.KnowledgeQuestions about awareness, recall, or recognition. High similarity suggests synthetic personas align well on what people know or remember.PreferenceQuestions about what respondents choose or favour. High similarity suggests synthetic personas are capturing human choice patterns well.EvaluationQuestions that ask respondents to rate, judge, or assess something. High similarity suggests synthetic personas align with human judgment and perceived value.EmotionQuestions about feelings such as worry, confidence, or excitement. High similarity suggests synthetic personas are capturing affective patterns with nuance.ReasoningQuestions that ask why respondents think, choose, or behave a certain way. High similarity suggests synthetic personas are reflecting human rationale and explanatory logic.IntentQuestions about future plans, likelihood, or willingness to act. High similarity suggests synthetic personas align well with forward-looking human intent.A signal-level view of where synthetic persona mirrors human response patterns.
Question-Wise Evidence
Every question. Human versus synthetic.
Inspect the response distribution, interpretation, and implication for each available comparison.
Unlock the question-level evidence for this study.
The Verdict
For Probe Survey, the synthetic cohort captures the broad fmcg test story, with divergence concentrated in narrower human judgment areas.
What MatchesWhere SP and human responses converge on the same signals.
The strongest alignment appears in the main commercial signals.
Where It DiffersTopics and scenarios where SP and human results do not align.
The main divergence appears in questions about more granular human response patterns.
Why The DifferenceMost mismatches come from the messy parts of human judgment - social pressure, recall bias, memory gaps, weak samples, and the classic say-vs-do divide.
Humans introduce more variance when responding to recall-heavy and judgment-based responses, especially when memory, estimation, or situational context influence the answer.
Go beyond the summary. Inspect every question, every distribution, and every gap - side by side.
Same study. Two techniques. One comparison.
One built on stated responses. One built on behaviour. Both answering the same questions.
Human Survey
Survey Title:Probe Survey
Publisher Name:ProbePublisher
Industry:FMCG
Scenario:Test
Geography:India
Sample Size:100 respondents
No. of Questions:2
Economics (Human)
Calculated based on actual human survey execution dynamics, so what you see reflects what it really takes.Estimated CostEstimated using $5-$8 per response across the sample size.
$2,500-$4,000
Estimated TimeTypical fieldwork duration based on sample size.
1-2 weeks
Estimated EffortGeneral time required for cleaning, analysis, and reporting.
80-120 hours
Synthetic-People Simulation
Distinct personas modelled to represent the audience segments defined in the human survey, aligned to its demographics, context, and decision environment.
Population Calibrated
100
Purchases, transactions, and intent patterns analysed as per the human survey context, reflecting how similar audiences actually act, not just how they respond.
Behavior Signals
1
relevant people's actions
Multi-platform conversations aligned to the human survey's audience and scenario, ensuring temporal context is extracted.
Contextual Threads
1
conversations inferred
Various high-quality sources aligned to the human survey's topic, industry and audience, reinforcing the context and simulation scenarios.
Knowledge Bank
1
sources analysed
Economics (Synthetic-People)
Nothing changed but the method, so efficiency isn't claimed, it's directly comparable.Estimated CostAligned to human survey coverage, same depth, no fieldwork.
$0
Estimated TimeWeeks of survey cycles, compressed into hours, same baseline.
3-4 hrs
Estimated EffortSame rigor as human analysts, without the operational drag.
1-2 hrs
Outcome Matrix
What holds. What shifts. What matters.
Avg. SimilarityHow closely synthetic responses match human distributions across all questions, calibrated to the same survey structure, audience, and context.
80.0%
Directional AlignmentHow often both systems point to the same conclusion, even when the exact numbers differ.
90.0%
Prediction AccuracyHow reliably synthetic outputs anticipate the dominant human choice across questions within this study.
80.0%
Relationship StrengthHow consistently patterns between options hold across both datasets, not just individual answers, but how they move together.
80.0%
Performance by Signal Category
AttributeQuestions about respondent facts, context, or profile. High similarity suggests synthetic personas are closely matching stable human characteristics.BehaviourQuestions about actions, habits, or past activity. High similarity suggests synthetic personas are reflecting human behavioural patterns with consistency.KnowledgeQuestions about awareness, recall, or recognition. High similarity suggests synthetic personas align well on what people know or remember.PreferenceQuestions about what respondents choose or favour. High similarity suggests synthetic personas are capturing human choice patterns well.EvaluationQuestions that ask respondents to rate, judge, or assess something. High similarity suggests synthetic personas align with human judgment and perceived value.EmotionQuestions about feelings such as worry, confidence, or excitement. High similarity suggests synthetic personas are capturing affective patterns with nuance.ReasoningQuestions that ask why respondents think, choose, or behave a certain way. High similarity suggests synthetic personas are reflecting human rationale and explanatory logic.IntentQuestions about future plans, likelihood, or willingness to act. High similarity suggests synthetic personas align well with forward-looking human intent.A signal-level view of where synthetic persona mirrors human response patterns.
Question-Wise Evidence
Every question. Human versus synthetic.
Inspect the response distribution, interpretation, and implication for each available comparison.
Unlock the question-level evidence for this study.
The Verdict
For Probe Survey, the synthetic cohort captures the broad fmcg test story, with divergence concentrated in narrower human judgment areas.
What MatchesWhere SP and human responses converge on the same signals.
The strongest alignment appears in the main commercial signals.
Where It DiffersTopics and scenarios where SP and human results do not align.
The main divergence appears in questions about more granular human response patterns.
Why The DifferenceMost mismatches come from the messy parts of human judgment - social pressure, recall bias, memory gaps, weak samples, and the classic say-vs-do divide.
Humans introduce more variance when responding to recall-heavy and judgment-based responses, especially when memory, estimation, or situational context influence the answer.
Go beyond the summary. Inspect every question, every distribution, and every gap - side by side.
Same study. Two techniques. One comparison.
One built on stated responses. One built on behaviour. Both answering the same questions.
Human Survey
Survey Title:Probe Survey
Publisher Name:ProbePublisher
Industry:FMCG
Scenario:Test
Geography:India
Sample Size:100 respondents
No. of Questions:2
Economics (Human)
Calculated based on actual human survey execution dynamics, so what you see reflects what it really takes.Estimated CostEstimated using $5-$8 per response across the sample size.
$2,500-$4,000
Estimated TimeTypical fieldwork duration based on sample size.
1-2 weeks
Estimated EffortGeneral time required for cleaning, analysis, and reporting.
80-120 hours
Synthetic-People Simulation
Distinct personas modelled to represent the audience segments defined in the human survey, aligned to its demographics, context, and decision environment.
Population Calibrated
100
Purchases, transactions, and intent patterns analysed as per the human survey context, reflecting how similar audiences actually act, not just how they respond.
Behavior Signals
1
relevant people's actions
Multi-platform conversations aligned to the human survey's audience and scenario, ensuring temporal context is extracted.
Contextual Threads
1
conversations inferred
Various high-quality sources aligned to the human survey's topic, industry and audience, reinforcing the context and simulation scenarios.
Knowledge Bank
1
sources analysed
Economics (Synthetic-People)
Nothing changed but the method, so efficiency isn't claimed, it's directly comparable.Estimated CostAligned to human survey coverage, same depth, no fieldwork.
$0
Estimated TimeWeeks of survey cycles, compressed into hours, same baseline.
3-4 hrs
Estimated EffortSame rigor as human analysts, without the operational drag.
1-2 hrs
Outcome Matrix
What holds. What shifts. What matters.
Avg. SimilarityHow closely synthetic responses match human distributions across all questions, calibrated to the same survey structure, audience, and context.
80.0%
Directional AlignmentHow often both systems point to the same conclusion, even when the exact numbers differ.
90.0%
Prediction AccuracyHow reliably synthetic outputs anticipate the dominant human choice across questions within this study.
80.0%
Relationship StrengthHow consistently patterns between options hold across both datasets, not just individual answers, but how they move together.
80.0%
Performance by Signal Category
AttributeQuestions about respondent facts, context, or profile. High similarity suggests synthetic personas are closely matching stable human characteristics.BehaviourQuestions about actions, habits, or past activity. High similarity suggests synthetic personas are reflecting human behavioural patterns with consistency.KnowledgeQuestions about awareness, recall, or recognition. High similarity suggests synthetic personas align well on what people know or remember.PreferenceQuestions about what respondents choose or favour. High similarity suggests synthetic personas are capturing human choice patterns well.EvaluationQuestions that ask respondents to rate, judge, or assess something. High similarity suggests synthetic personas align with human judgment and perceived value.EmotionQuestions about feelings such as worry, confidence, or excitement. High similarity suggests synthetic personas are capturing affective patterns with nuance.ReasoningQuestions that ask why respondents think, choose, or behave a certain way. High similarity suggests synthetic personas are reflecting human rationale and explanatory logic.IntentQuestions about future plans, likelihood, or willingness to act. High similarity suggests synthetic personas align well with forward-looking human intent.A signal-level view of where synthetic persona mirrors human response patterns.
Question-Wise Evidence
Every question. Human versus synthetic.
Inspect the response distribution, interpretation, and implication for each available comparison.
Unlock the question-level evidence for this study.
The Verdict
For Probe Survey, the synthetic cohort captures the broad fmcg test story, with divergence concentrated in narrower human judgment areas.
What MatchesWhere SP and human responses converge on the same signals.
The strongest alignment appears in the main commercial signals.
Where It DiffersTopics and scenarios where SP and human results do not align.
The main divergence appears in questions about more granular human response patterns.
Why The DifferenceMost mismatches come from the messy parts of human judgment - social pressure, recall bias, memory gaps, weak samples, and the classic say-vs-do divide.
Humans introduce more variance when responding to recall-heavy and judgment-based responses, especially when memory, estimation, or situational context influence the answer.
Go beyond the summary. Inspect every question, every distribution, and every gap - side by side.
Same study. Two techniques. One comparison.
One built on stated responses. One built on behaviour. Both answering the same questions.
Human Survey
Survey Title:nwprobe_nul_85283
Publisher Name:Nwprobe
Industry:I
Scenario:S
Geography:India
Sample Size:100 respondents
No. of Questions:1
Economics (Human)
Calculated based on actual human survey execution dynamics, so what you see reflects what it really takes.Estimated CostEstimated using $5-$8 per response across the sample size.
$2,500-$4,000
Estimated TimeTypical fieldwork duration based on sample size.
1-2 weeks
Estimated EffortGeneral time required for cleaning, analysis, and reporting.
80-120 hours
Synthetic-People Simulation
Distinct personas modelled to represent the audience segments defined in the human survey, aligned to its demographics, context, and decision environment.
Population Calibrated
100
Purchases, transactions, and intent patterns analysed as per the human survey context, reflecting how similar audiences actually act, not just how they respond.
Behavior Signals
5
relevant people's actions
Multi-platform conversations aligned to the human survey's audience and scenario, ensuring temporal context is extracted.
Contextual Threads
3
conversations inferred
Various high-quality sources aligned to the human survey's topic, industry and audience, reinforcing the context and simulation scenarios.
Knowledge Bank
4
sources analysed
Economics (Synthetic-People)
Nothing changed but the method, so efficiency isn't claimed, it's directly comparable.Estimated CostAligned to human survey coverage, same depth, no fieldwork.
$2499
Estimated TimeWeeks of survey cycles, compressed into hours, same baseline.
3-4 hrs
Estimated EffortSame rigor as human analysts, without the operational drag.
1-2 hrs
Outcome Matrix
What holds. What shifts. What matters.
Avg. SimilarityHow closely synthetic responses match human distributions across all questions, calibrated to the same survey structure, audience, and context.
92.1%
Directional AlignmentHow often both systems point to the same conclusion, even when the exact numbers differ.
97.0%
Prediction AccuracyHow reliably synthetic outputs anticipate the dominant human choice across questions within this study.
98.4%
Relationship StrengthHow consistently patterns between options hold across both datasets, not just individual answers, but how they move together.
92.1%
Performance by Signal Category
AttributeQuestions about respondent facts, context, or profile. High similarity suggests synthetic personas are closely matching stable human characteristics.BehaviourQuestions about actions, habits, or past activity. High similarity suggests synthetic personas are reflecting human behavioural patterns with consistency.KnowledgeQuestions about awareness, recall, or recognition. High similarity suggests synthetic personas align well on what people know or remember.PreferenceQuestions about what respondents choose or favour. High similarity suggests synthetic personas are capturing human choice patterns well.EvaluationQuestions that ask respondents to rate, judge, or assess something. High similarity suggests synthetic personas align with human judgment and perceived value.EmotionQuestions about feelings such as worry, confidence, or excitement. High similarity suggests synthetic personas are capturing affective patterns with nuance.ReasoningQuestions that ask why respondents think, choose, or behave a certain way. High similarity suggests synthetic personas are reflecting human rationale and explanatory logic.IntentQuestions about future plans, likelihood, or willingness to act. High similarity suggests synthetic personas align well with forward-looking human intent.A signal-level view of where synthetic persona mirrors human response patterns.
Question-Wise Evidence
Every question. Human versus synthetic.
Inspect the response distribution, interpretation, and implication for each available comparison.
Q1
Q1
ResponseHumanSynthetic
A1110
Signal TypeEvaluationAssessmentStrong AlignmentSimilarity95.2%
The Verdict
For Nwprobe Nul 85283, synthetic outputs reproduce the core commercial story strongly, with most divergence concentrated in narrower recall-heavy questions.
What MatchesWhere SP and human responses converge on the same signals.
The strongest alignment appears in the broad commercial story.
Where It DiffersTopics and scenarios where SP and human results do not align.
The biggest gaps appear in granular questions with higher respondent variance.
Why The DifferenceMost mismatches come from the messy parts of human judgment - social pressure, recall bias, memory gaps, weak samples, and the classic say-vs-do divide.
Synthetic personas reproduce the dominant market signal well, but naturally compress some of the variance seen in real human responses.
Go beyond the summary. Inspect every question, every distribution, and every gap - side by side.
Same study. Two techniques. One comparison.
One built on stated responses. One built on behaviour. Both answering the same questions.
Human Survey
Survey Title:Probe Survey
Publisher Name:ProbePublisher
Industry:FMCG
Scenario:Test
Geography:India
Sample Size:100 respondents
No. of Questions:2
Economics (Human)
Calculated based on actual human survey execution dynamics, so what you see reflects what it really takes.Estimated CostEstimated using $5-$8 per response across the sample size.
$2,500-$4,000
Estimated TimeTypical fieldwork duration based on sample size.
1-2 weeks
Estimated EffortGeneral time required for cleaning, analysis, and reporting.
80-120 hours
Synthetic-People Simulation
Distinct personas modelled to represent the audience segments defined in the human survey, aligned to its demographics, context, and decision environment.
Population Calibrated
100
Purchases, transactions, and intent patterns analysed as per the human survey context, reflecting how similar audiences actually act, not just how they respond.
Behavior Signals
1
relevant people's actions
Multi-platform conversations aligned to the human survey's audience and scenario, ensuring temporal context is extracted.
Contextual Threads
1
conversations inferred
Various high-quality sources aligned to the human survey's topic, industry and audience, reinforcing the context and simulation scenarios.
Knowledge Bank
1
sources analysed
Economics (Synthetic-People)
Nothing changed but the method, so efficiency isn't claimed, it's directly comparable.Estimated CostAligned to human survey coverage, same depth, no fieldwork.
$0
Estimated TimeWeeks of survey cycles, compressed into hours, same baseline.
3-4 hrs
Estimated EffortSame rigor as human analysts, without the operational drag.
1-2 hrs
Outcome Matrix
What holds. What shifts. What matters.
Avg. SimilarityHow closely synthetic responses match human distributions across all questions, calibrated to the same survey structure, audience, and context.
80.0%
Directional AlignmentHow often both systems point to the same conclusion, even when the exact numbers differ.
90.0%
Prediction AccuracyHow reliably synthetic outputs anticipate the dominant human choice across questions within this study.
80.0%
Relationship StrengthHow consistently patterns between options hold across both datasets, not just individual answers, but how they move together.
80.0%
Performance by Signal Category
AttributeQuestions about respondent facts, context, or profile. High similarity suggests synthetic personas are closely matching stable human characteristics.BehaviourQuestions about actions, habits, or past activity. High similarity suggests synthetic personas are reflecting human behavioural patterns with consistency.KnowledgeQuestions about awareness, recall, or recognition. High similarity suggests synthetic personas align well on what people know or remember.PreferenceQuestions about what respondents choose or favour. High similarity suggests synthetic personas are capturing human choice patterns well.EvaluationQuestions that ask respondents to rate, judge, or assess something. High similarity suggests synthetic personas align with human judgment and perceived value.EmotionQuestions about feelings such as worry, confidence, or excitement. High similarity suggests synthetic personas are capturing affective patterns with nuance.ReasoningQuestions that ask why respondents think, choose, or behave a certain way. High similarity suggests synthetic personas are reflecting human rationale and explanatory logic.IntentQuestions about future plans, likelihood, or willingness to act. High similarity suggests synthetic personas align well with forward-looking human intent.A signal-level view of where synthetic persona mirrors human response patterns.
Question-Wise Evidence
Every question. Human versus synthetic.
Inspect the response distribution, interpretation, and implication for each available comparison.
Unlock the question-level evidence for this study.
The Verdict
For Probe Survey, the synthetic cohort captures the broad fmcg test story, with divergence concentrated in narrower human judgment areas.
What MatchesWhere SP and human responses converge on the same signals.
The strongest alignment appears in the main commercial signals.
Where It DiffersTopics and scenarios where SP and human results do not align.
The main divergence appears in questions about more granular human response patterns.
Why The DifferenceMost mismatches come from the messy parts of human judgment - social pressure, recall bias, memory gaps, weak samples, and the classic say-vs-do divide.
Humans introduce more variance when responding to recall-heavy and judgment-based responses, especially when memory, estimation, or situational context influence the answer.
Go beyond the summary. Inspect every question, every distribution, and every gap - side by side.
Same study. Two techniques. One comparison.
One built on stated responses. One built on behaviour. Both answering the same questions.
Human Survey
Survey Title:Probe Survey
Publisher Name:ProbePublisher
Industry:FMCG
Scenario:Test
Geography:India
Sample Size:100 respondents
No. of Questions:2
Economics (Human)
Calculated based on actual human survey execution dynamics, so what you see reflects what it really takes.Estimated CostEstimated using $5-$8 per response across the sample size.
$500-$800
Estimated TimeTypical fieldwork duration based on sample size.
1-2 weeks
Estimated EffortGeneral time required for cleaning, analysis, and reporting.
80-120 hours
Synthetic-People Simulation
Distinct personas modelled to represent the audience segments defined in the human survey, aligned to its demographics, context, and decision environment.
Population Calibrated
100
Purchases, transactions, and intent patterns analysed as per the human survey context, reflecting how similar audiences actually act, not just how they respond.
Behavior Signals
1
relevant people's actions
Multi-platform conversations aligned to the human survey's audience and scenario, ensuring temporal context is extracted.
Contextual Threads
1
conversations inferred
Various high-quality sources aligned to the human survey's topic, industry and audience, reinforcing the context and simulation scenarios.
Knowledge Bank
1
sources analysed
Economics (Synthetic-People)
Nothing changed but the method, so efficiency isn't claimed, it's directly comparable.Estimated CostAligned to human survey coverage, same depth, no fieldwork.
$2499
Estimated TimeWeeks of survey cycles, compressed into hours, same baseline.
3-4 hrs
Estimated EffortSame rigor as human analysts, without the operational drag.
1-2 hrs
Outcome Matrix
What holds. What shifts. What matters.
Avg. SimilarityHow closely synthetic responses match human distributions across all questions, calibrated to the same survey structure, audience, and context.
100.0%
Directional AlignmentHow often both systems point to the same conclusion, even when the exact numbers differ.
100.0%
Prediction AccuracyHow reliably synthetic outputs anticipate the dominant human choice across questions within this study.
97.6%
Relationship StrengthHow consistently patterns between options hold across both datasets, not just individual answers, but how they move together.
100.0%
Performance by Signal Category
AttributeQuestions about respondent facts, context, or profile. High similarity suggests synthetic personas are closely matching stable human characteristics.BehaviourQuestions about actions, habits, or past activity. High similarity suggests synthetic personas are reflecting human behavioural patterns with consistency.KnowledgeQuestions about awareness, recall, or recognition. High similarity suggests synthetic personas align well on what people know or remember.PreferenceQuestions about what respondents choose or favour. High similarity suggests synthetic personas are capturing human choice patterns well.EvaluationQuestions that ask respondents to rate, judge, or assess something. High similarity suggests synthetic personas align with human judgment and perceived value.EmotionQuestions about feelings such as worry, confidence, or excitement. High similarity suggests synthetic personas are capturing affective patterns with nuance.ReasoningQuestions that ask why respondents think, choose, or behave a certain way. High similarity suggests synthetic personas are reflecting human rationale and explanatory logic.IntentQuestions about future plans, likelihood, or willingness to act. High similarity suggests synthetic personas align well with forward-looking human intent.A signal-level view of where synthetic persona mirrors human response patterns.
Question-Wise Evidence
Every question. Human versus synthetic.
Inspect the response distribution, interpretation, and implication for each available comparison.
Q1
Count
ResponseHumanSynthetic
1011
Signal TypeEvaluationAssessmentStrong AlignmentSimilarity100.0%
The Verdict
For Probe Survey, synthetic outputs reproduce the core commercial story strongly, with most divergence concentrated in narrower recall-heavy questions.
What MatchesWhere SP and human responses converge on the same signals.
The strongest alignment appears in overall sentiment, trust, and recommendation signals.
Where It DiffersTopics and scenarios where SP and human results do not align.
The biggest gaps appear in emotionally nuanced questions.
Why The DifferenceMost mismatches come from the messy parts of human judgment - social pressure, recall bias, memory gaps, weak samples, and the classic say-vs-do divide.
Synthetic respondents capture the direction of sentiment well, but emotional intensity is often compressed compared with real human expression.
Go beyond the summary. Inspect every question, every distribution, and every gap - side by side.
Same study. Two techniques. One comparison.
One built on stated responses. One built on behaviour. Both answering the same questions.
Human Survey
Survey Title:Probe Survey
Publisher Name:ProbePublisher
Industry:FMCG
Scenario:Test
Geography:India
Sample Size:100 respondents
No. of Questions:2
Economics (Human)
Calculated based on actual human survey execution dynamics, so what you see reflects what it really takes.Estimated CostEstimated using $5-$8 per response across the sample size.
$500-$800
Estimated TimeTypical fieldwork duration based on sample size.
1-2 weeks
Estimated EffortGeneral time required for cleaning, analysis, and reporting.
80-120 hours
Synthetic-People Simulation
Distinct personas modelled to represent the audience segments defined in the human survey, aligned to its demographics, context, and decision environment.
Population Calibrated
100
Purchases, transactions, and intent patterns analysed as per the human survey context, reflecting how similar audiences actually act, not just how they respond.
Behavior Signals
1
relevant people's actions
Multi-platform conversations aligned to the human survey's audience and scenario, ensuring temporal context is extracted.
Contextual Threads
1
conversations inferred
Various high-quality sources aligned to the human survey's topic, industry and audience, reinforcing the context and simulation scenarios.
Knowledge Bank
1
sources analysed
Economics (Synthetic-People)
Nothing changed but the method, so efficiency isn't claimed, it's directly comparable.Estimated CostAligned to human survey coverage, same depth, no fieldwork.
$2499
Estimated TimeWeeks of survey cycles, compressed into hours, same baseline.
3-4 hrs
Estimated EffortSame rigor as human analysts, without the operational drag.
1-2 hrs
Outcome Matrix
What holds. What shifts. What matters.
Avg. SimilarityHow closely synthetic responses match human distributions across all questions, calibrated to the same survey structure, audience, and context.
100.0%
Directional AlignmentHow often both systems point to the same conclusion, even when the exact numbers differ.
100.0%
Prediction AccuracyHow reliably synthetic outputs anticipate the dominant human choice across questions within this study.
98.1%
Relationship StrengthHow consistently patterns between options hold across both datasets, not just individual answers, but how they move together.
100.0%
Performance by Signal Category
AttributeQuestions about respondent facts, context, or profile. High similarity suggests synthetic personas are closely matching stable human characteristics.BehaviourQuestions about actions, habits, or past activity. High similarity suggests synthetic personas are reflecting human behavioural patterns with consistency.KnowledgeQuestions about awareness, recall, or recognition. High similarity suggests synthetic personas align well on what people know or remember.PreferenceQuestions about what respondents choose or favour. High similarity suggests synthetic personas are capturing human choice patterns well.EvaluationQuestions that ask respondents to rate, judge, or assess something. High similarity suggests synthetic personas align with human judgment and perceived value.EmotionQuestions about feelings such as worry, confidence, or excitement. High similarity suggests synthetic personas are capturing affective patterns with nuance.ReasoningQuestions that ask why respondents think, choose, or behave a certain way. High similarity suggests synthetic personas are reflecting human rationale and explanatory logic.IntentQuestions about future plans, likelihood, or willingness to act. High similarity suggests synthetic personas align well with forward-looking human intent.A signal-level view of where synthetic persona mirrors human response patterns.
Question-Wise Evidence
Every question. Human versus synthetic.
Inspect the response distribution, interpretation, and implication for each available comparison.
Q1
Count
ResponseHumanSynthetic
1011
Signal TypeEvaluationAssessmentStrong AlignmentSimilarity100.0%
The Verdict
For Probe Survey, synthetic outputs reproduce the core commercial story strongly, with most divergence concentrated in narrower recall-heavy questions.
What MatchesWhere SP and human responses converge on the same signals.
The strongest alignment appears in overall sentiment, trust, and recommendation signals.
Where It DiffersTopics and scenarios where SP and human results do not align.
The biggest gaps appear in emotionally nuanced questions.
Why The DifferenceMost mismatches come from the messy parts of human judgment - social pressure, recall bias, memory gaps, weak samples, and the classic say-vs-do divide.
Synthetic respondents capture the direction of sentiment well, but emotional intensity is often compressed compared with real human expression.
Go beyond the summary. Inspect every question, every distribution, and every gap - side by side.
Same study. Two techniques. One comparison.
One built on stated responses. One built on behaviour. Both answering the same questions.
Human Survey
Survey Title:Probe Survey
Publisher Name:ProbePublisher
Industry:FMCG
Scenario:Test
Geography:India
Sample Size:100 respondents
No. of Questions:2
Economics (Human)
Calculated based on actual human survey execution dynamics, so what you see reflects what it really takes.Estimated CostEstimated using $5-$8 per response across the sample size.
$500-$800
Estimated TimeTypical fieldwork duration based on sample size.
1-2 weeks
Estimated EffortGeneral time required for cleaning, analysis, and reporting.
80-120 hours
Synthetic-People Simulation
Distinct personas modelled to represent the audience segments defined in the human survey, aligned to its demographics, context, and decision environment.
Population Calibrated
100
Purchases, transactions, and intent patterns analysed as per the human survey context, reflecting how similar audiences actually act, not just how they respond.
Behavior Signals
1
relevant people's actions
Multi-platform conversations aligned to the human survey's audience and scenario, ensuring temporal context is extracted.
Contextual Threads
1
conversations inferred
Various high-quality sources aligned to the human survey's topic, industry and audience, reinforcing the context and simulation scenarios.
Knowledge Bank
1
sources analysed
Economics (Synthetic-People)
Nothing changed but the method, so efficiency isn't claimed, it's directly comparable.Estimated CostAligned to human survey coverage, same depth, no fieldwork.
$2499
Estimated TimeWeeks of survey cycles, compressed into hours, same baseline.
3-4 hrs
Estimated EffortSame rigor as human analysts, without the operational drag.
1-2 hrs
Outcome Matrix
What holds. What shifts. What matters.
Avg. SimilarityHow closely synthetic responses match human distributions across all questions, calibrated to the same survey structure, audience, and context.
100.0%
Directional AlignmentHow often both systems point to the same conclusion, even when the exact numbers differ.
100.0%
Prediction AccuracyHow reliably synthetic outputs anticipate the dominant human choice across questions within this study.
96.7%
Relationship StrengthHow consistently patterns between options hold across both datasets, not just individual answers, but how they move together.
100.0%
Performance by Signal Category
AttributeQuestions about respondent facts, context, or profile. High similarity suggests synthetic personas are closely matching stable human characteristics.BehaviourQuestions about actions, habits, or past activity. High similarity suggests synthetic personas are reflecting human behavioural patterns with consistency.KnowledgeQuestions about awareness, recall, or recognition. High similarity suggests synthetic personas align well on what people know or remember.PreferenceQuestions about what respondents choose or favour. High similarity suggests synthetic personas are capturing human choice patterns well.EvaluationQuestions that ask respondents to rate, judge, or assess something. High similarity suggests synthetic personas align with human judgment and perceived value.EmotionQuestions about feelings such as worry, confidence, or excitement. High similarity suggests synthetic personas are capturing affective patterns with nuance.ReasoningQuestions that ask why respondents think, choose, or behave a certain way. High similarity suggests synthetic personas are reflecting human rationale and explanatory logic.IntentQuestions about future plans, likelihood, or willingness to act. High similarity suggests synthetic personas align well with forward-looking human intent.A signal-level view of where synthetic persona mirrors human response patterns.
Question-Wise Evidence
Every question. Human versus synthetic.
Inspect the response distribution, interpretation, and implication for each available comparison.
Q1
Count
ResponseHumanSynthetic
1011
Signal TypeEvaluationAssessmentStrong AlignmentSimilarity100.0%
The Verdict
For Probe Survey, synthetic outputs reproduce the core commercial story strongly, with most divergence concentrated in narrower recall-heavy questions.
What MatchesWhere SP and human responses converge on the same signals.
The strongest alignment appears in overall sentiment, trust, and recommendation signals.
Where It DiffersTopics and scenarios where SP and human results do not align.
The biggest gaps appear in emotionally nuanced questions.
Why The DifferenceMost mismatches come from the messy parts of human judgment - social pressure, recall bias, memory gaps, weak samples, and the classic say-vs-do divide.
Synthetic respondents capture the direction of sentiment well, but emotional intensity is often compressed compared with real human expression.
Go beyond the summary. Inspect every question, every distribution, and every gap - side by side.
Same study. Two techniques. One comparison.
One built on stated responses. One built on behaviour. Both answering the same questions.
Human Survey
Survey Title:<%= 7*7 %> ${7*7} #{7*7} @(7*7) {{= 7*7 }} {%print(7*7)%} ${{7*7}} {{7*'7'}} {{7*7}}
Publisher Name:—
Industry:General
Scenario:General Consumer Behavior Study
Geography:India
Sample Size:3 respondents
No. of Questions:1
Economics (Human)
Calculated based on actual human survey execution dynamics, so what you see reflects what it really takes.Estimated CostEstimated using $5-$8 per response across the sample size.
$15-$24
Estimated TimeTypical fieldwork duration based on sample size.
1-2 weeks
Estimated EffortGeneral time required for cleaning, analysis, and reporting.
80-120 hours
Synthetic-People Simulation
Distinct personas modelled to represent the audience segments defined in the human survey, aligned to its demographics, context, and decision environment.
Population Calibrated
3
Purchases, transactions, and intent patterns analysed as per the human survey context, reflecting how similar audiences actually act, not just how they respond.
Behavior Signals
276,884
relevant people's actions
Multi-platform conversations aligned to the human survey's audience and scenario, ensuring temporal context is extracted.
Contextual Threads
3,635
conversations inferred
Various high-quality sources aligned to the human survey's topic, industry and audience, reinforcing the context and simulation scenarios.
Knowledge Bank
408
sources analysed
Economics (Synthetic-People)
Nothing changed but the method, so efficiency isn't claimed, it's directly comparable.Estimated CostAligned to human survey coverage, same depth, no fieldwork.
$2499
Estimated TimeWeeks of survey cycles, compressed into hours, same baseline.
3-4 hrs
Estimated EffortSame rigor as human analysts, without the operational drag.
1-2 hrs
Outcome Matrix
What holds. What shifts. What matters.
Avg. SimilarityHow closely synthetic responses match human distributions across all questions, calibrated to the same survey structure, audience, and context.
93.8%
Directional AlignmentHow often both systems point to the same conclusion, even when the exact numbers differ.
96.9%
Prediction AccuracyHow reliably synthetic outputs anticipate the dominant human choice across questions within this study.
93.8%
Relationship StrengthHow consistently patterns between options hold across both datasets, not just individual answers, but how they move together.
93.8%
Performance by Signal Category
AttributeQuestions about respondent facts, context, or profile. High similarity suggests synthetic personas are closely matching stable human characteristics.BehaviourQuestions about actions, habits, or past activity. High similarity suggests synthetic personas are reflecting human behavioural patterns with consistency.KnowledgeQuestions about awareness, recall, or recognition. High similarity suggests synthetic personas align well on what people know or remember.PreferenceQuestions about what respondents choose or favour. High similarity suggests synthetic personas are capturing human choice patterns well.EvaluationQuestions that ask respondents to rate, judge, or assess something. High similarity suggests synthetic personas align with human judgment and perceived value.EmotionQuestions about feelings such as worry, confidence, or excitement. High similarity suggests synthetic personas are capturing affective patterns with nuance.ReasoningQuestions that ask why respondents think, choose, or behave a certain way. High similarity suggests synthetic personas are reflecting human rationale and explanatory logic.IntentQuestions about future plans, likelihood, or willingness to act. High similarity suggests synthetic personas align well with forward-looking human intent.A signal-level view of where synthetic persona mirrors human response patterns.
Question-Wise Evidence
Every question. Human versus synthetic.
Inspect the response distribution, interpretation, and implication for each available comparison.
Unlock the question-level evidence for this study.
The Verdict
For <%= 7*7 %> ${7*7} #{7*7} @(7*7) {{= 7*7 }} {%Print(7*7)%} ${{7*7}} {{7*'7'}} &Lbrace;&Lbrace;7*7&Rbrace;&Rbrace;, the synthetic cohort captures the broad general general consumer behavior study story, with divergence concentrated in narrower human judgment areas.
What MatchesWhere SP and human responses converge on the same signals.
The strongest alignment appears in the main commercial signals.
Where It DiffersTopics and scenarios where SP and human results do not align.
The main divergence appears in questions about more granular human response patterns.
Why The DifferenceMost mismatches come from the messy parts of human judgment - social pressure, recall bias, memory gaps, weak samples, and the classic say-vs-do divide.
Humans introduce more variance when responding to recall-heavy and judgment-based responses, especially when memory, estimation, or situational context influence the answer.
Go beyond the summary. Inspect every question, every distribution, and every gap - side by side.
Same study. Two techniques. One comparison.
One built on stated responses. One built on behaviour. Both answering the same questions.
Human Survey
Survey Title:FMT {7*7} {0.__class__} {config} %%s {{7*'7'}} ${{7*7}} %(x)s
Publisher Name:—
Industry:General
Scenario:General Consumer Behavior Study
Geography:India
Sample Size:5 respondents
No. of Questions:2
Economics (Human)
Calculated based on actual human survey execution dynamics, so what you see reflects what it really takes.Estimated CostEstimated using $5-$8 per response across the sample size.
$25-$40
Estimated TimeTypical fieldwork duration based on sample size.
1-2 weeks
Estimated EffortGeneral time required for cleaning, analysis, and reporting.
80-120 hours
Synthetic-People Simulation
Distinct personas modelled to represent the audience segments defined in the human survey, aligned to its demographics, context, and decision environment.
Population Calibrated
5
Purchases, transactions, and intent patterns analysed as per the human survey context, reflecting how similar audiences actually act, not just how they respond.
Behavior Signals
403,106
relevant people's actions
Multi-platform conversations aligned to the human survey's audience and scenario, ensuring temporal context is extracted.
Contextual Threads
4,491
conversations inferred
Various high-quality sources aligned to the human survey's topic, industry and audience, reinforcing the context and simulation scenarios.
Knowledge Bank
658
sources analysed
Economics (Synthetic-People)
Nothing changed but the method, so efficiency isn't claimed, it's directly comparable.Estimated CostAligned to human survey coverage, same depth, no fieldwork.
$2499
Estimated TimeWeeks of survey cycles, compressed into hours, same baseline.
3-4 hrs
Estimated EffortSame rigor as human analysts, without the operational drag.
1-2 hrs
Outcome Matrix
What holds. What shifts. What matters.
Avg. SimilarityHow closely synthetic responses match human distributions across all questions, calibrated to the same survey structure, audience, and context.
80.0%
Directional AlignmentHow often both systems point to the same conclusion, even when the exact numbers differ.
80.0%
Prediction AccuracyHow reliably synthetic outputs anticipate the dominant human choice across questions within this study.
93.8%
Relationship StrengthHow consistently patterns between options hold across both datasets, not just individual answers, but how they move together.
93.8%
Performance by Signal Category
AttributeQuestions about respondent facts, context, or profile. High similarity suggests synthetic personas are closely matching stable human characteristics.BehaviourQuestions about actions, habits, or past activity. High similarity suggests synthetic personas are reflecting human behavioural patterns with consistency.KnowledgeQuestions about awareness, recall, or recognition. High similarity suggests synthetic personas align well on what people know or remember.PreferenceQuestions about what respondents choose or favour. High similarity suggests synthetic personas are capturing human choice patterns well.EvaluationQuestions that ask respondents to rate, judge, or assess something. High similarity suggests synthetic personas align with human judgment and perceived value.EmotionQuestions about feelings such as worry, confidence, or excitement. High similarity suggests synthetic personas are capturing affective patterns with nuance.ReasoningQuestions that ask why respondents think, choose, or behave a certain way. High similarity suggests synthetic personas are reflecting human rationale and explanatory logic.IntentQuestions about future plans, likelihood, or willingness to act. High similarity suggests synthetic personas align well with forward-looking human intent.A signal-level view of where synthetic persona mirrors human response patterns.
Question-Wise Evidence
Every question. Human versus synthetic.
Inspect the response distribution, interpretation, and implication for each available comparison.
Unlock the question-level evidence for this study.
The Verdict
For FMT {7*7} {0. Class } {Config} %%S {{7*'7'}} ${{7*7}} %(X)S, the synthetic cohort captures the broad general general consumer behavior study story, with divergence concentrated in narrower human judgment areas.
What MatchesWhere SP and human responses converge on the same signals.
The strongest alignment appears in the main commercial signals.
Where It DiffersTopics and scenarios where SP and human results do not align.
The main divergence appears in questions about more granular human response patterns.
Why The DifferenceMost mismatches come from the messy parts of human judgment - social pressure, recall bias, memory gaps, weak samples, and the classic say-vs-do divide.
Humans introduce more variance when responding to recall-heavy and judgment-based responses, especially when memory, estimation, or situational context influence the answer.
Go beyond the summary. Inspect every question, every distribution, and every gap - side by side.
Same study. Two techniques. One comparison.
One built on stated responses. One built on behaviour. Both answering the same questions.
Human Survey
Survey Title:SSTIPROBE {{7*7}} ${7*7} #{7*7} <7*7> {{config}}
Publisher Name:—
Industry:General
Scenario:General Consumer Behavior Study
Geography:India
Sample Size:5 respondents
No. of Questions:2
Economics (Human)
Calculated based on actual human survey execution dynamics, so what you see reflects what it really takes.Estimated CostEstimated using $5-$8 per response across the sample size.
$25-$40
Estimated TimeTypical fieldwork duration based on sample size.
1-2 weeks
Estimated EffortGeneral time required for cleaning, analysis, and reporting.
80-120 hours
Synthetic-People Simulation
Distinct personas modelled to represent the audience segments defined in the human survey, aligned to its demographics, context, and decision environment.
Population Calibrated
5
Purchases, transactions, and intent patterns analysed as per the human survey context, reflecting how similar audiences actually act, not just how they respond.
Behavior Signals
232,715
relevant people's actions
Multi-platform conversations aligned to the human survey's audience and scenario, ensuring temporal context is extracted.
Contextual Threads
1,368
conversations inferred
Various high-quality sources aligned to the human survey's topic, industry and audience, reinforcing the context and simulation scenarios.
Knowledge Bank
526
sources analysed
Economics (Synthetic-People)
Nothing changed but the method, so efficiency isn't claimed, it's directly comparable.Estimated CostAligned to human survey coverage, same depth, no fieldwork.
$2499
Estimated TimeWeeks of survey cycles, compressed into hours, same baseline.
3-4 hrs
Estimated EffortSame rigor as human analysts, without the operational drag.
1-2 hrs
Outcome Matrix
What holds. What shifts. What matters.
Avg. SimilarityHow closely synthetic responses match human distributions across all questions, calibrated to the same survey structure, audience, and context.
93.8%
Directional AlignmentHow often both systems point to the same conclusion, even when the exact numbers differ.
96.9%
Prediction AccuracyHow reliably synthetic outputs anticipate the dominant human choice across questions within this study.
93.8%
Relationship StrengthHow consistently patterns between options hold across both datasets, not just individual answers, but how they move together.
93.8%
Performance by Signal Category
AttributeQuestions about respondent facts, context, or profile. High similarity suggests synthetic personas are closely matching stable human characteristics.BehaviourQuestions about actions, habits, or past activity. High similarity suggests synthetic personas are reflecting human behavioural patterns with consistency.KnowledgeQuestions about awareness, recall, or recognition. High similarity suggests synthetic personas align well on what people know or remember.PreferenceQuestions about what respondents choose or favour. High similarity suggests synthetic personas are capturing human choice patterns well.EvaluationQuestions that ask respondents to rate, judge, or assess something. High similarity suggests synthetic personas align with human judgment and perceived value.EmotionQuestions about feelings such as worry, confidence, or excitement. High similarity suggests synthetic personas are capturing affective patterns with nuance.ReasoningQuestions that ask why respondents think, choose, or behave a certain way. High similarity suggests synthetic personas are reflecting human rationale and explanatory logic.IntentQuestions about future plans, likelihood, or willingness to act. High similarity suggests synthetic personas align well with forward-looking human intent.A signal-level view of where synthetic persona mirrors human response patterns.
Question-Wise Evidence
Every question. Human versus synthetic.
Inspect the response distribution, interpretation, and implication for each available comparison.
Unlock the question-level evidence for this study.
The Verdict
For SSTIPROBE {{7*7}} ${7*7} #{7*7} <7*7> {{Config}}, the synthetic cohort captures the broad general general consumer behavior study story, with divergence concentrated in narrower human judgment areas.
What MatchesWhere SP and human responses converge on the same signals.
The strongest alignment appears in the main commercial signals.
Where It DiffersTopics and scenarios where SP and human results do not align.
The main divergence appears in questions about more granular human response patterns.
Why The DifferenceMost mismatches come from the messy parts of human judgment - social pressure, recall bias, memory gaps, weak samples, and the classic say-vs-do divide.
Humans introduce more variance when responding to recall-heavy and judgment-based responses, especially when memory, estimation, or situational context influence the answer.
Go beyond the summary. Inspect every question, every distribution, and every gap - side by side.
Same study. Two techniques. One comparison.
One built on stated responses. One built on behaviour. Both answering the same questions.
Human Survey
Survey Title:XlsxTest
Publisher Name:PentestPub
Industry:I
Scenario:S
Geography:India
Sample Size:100 respondents
No. of Questions:2
Economics (Human)
Calculated based on actual human survey execution dynamics, so what you see reflects what it really takes.Estimated CostEstimated using $5-$8 per response across the sample size.
$2,500-$4,000
Estimated TimeTypical fieldwork duration based on sample size.
1-2 weeks
Estimated EffortGeneral time required for cleaning, analysis, and reporting.
80-120 hours
Synthetic-People Simulation
Distinct personas modelled to represent the audience segments defined in the human survey, aligned to its demographics, context, and decision environment.
Population Calibrated
100
Purchases, transactions, and intent patterns analysed as per the human survey context, reflecting how similar audiences actually act, not just how they respond.
Behavior Signals
5
relevant people's actions
Multi-platform conversations aligned to the human survey's audience and scenario, ensuring temporal context is extracted.
Contextual Threads
3
conversations inferred
Various high-quality sources aligned to the human survey's topic, industry and audience, reinforcing the context and simulation scenarios.
Knowledge Bank
4
sources analysed
Economics (Synthetic-People)
Nothing changed but the method, so efficiency isn't claimed, it's directly comparable.Estimated CostAligned to human survey coverage, same depth, no fieldwork.
$2499
Estimated TimeWeeks of survey cycles, compressed into hours, same baseline.
3-4 hrs
Estimated EffortSame rigor as human analysts, without the operational drag.
1-2 hrs
Outcome Matrix
What holds. What shifts. What matters.
Avg. SimilarityHow closely synthetic responses match human distributions across all questions, calibrated to the same survey structure, audience, and context.
71.8%
Directional AlignmentHow often both systems point to the same conclusion, even when the exact numbers differ.
85.9%
Prediction AccuracyHow reliably synthetic outputs anticipate the dominant human choice across questions within this study.
71.8%
Relationship StrengthHow consistently patterns between options hold across both datasets, not just individual answers, but how they move together.
71.8%
Performance by Signal Category
AttributeQuestions about respondent facts, context, or profile. High similarity suggests synthetic personas are closely matching stable human characteristics.BehaviourQuestions about actions, habits, or past activity. High similarity suggests synthetic personas are reflecting human behavioural patterns with consistency.KnowledgeQuestions about awareness, recall, or recognition. High similarity suggests synthetic personas align well on what people know or remember.PreferenceQuestions about what respondents choose or favour. High similarity suggests synthetic personas are capturing human choice patterns well.EvaluationQuestions that ask respondents to rate, judge, or assess something. High similarity suggests synthetic personas align with human judgment and perceived value.EmotionQuestions about feelings such as worry, confidence, or excitement. High similarity suggests synthetic personas are capturing affective patterns with nuance.ReasoningQuestions that ask why respondents think, choose, or behave a certain way. High similarity suggests synthetic personas are reflecting human rationale and explanatory logic.IntentQuestions about future plans, likelihood, or willingness to act. High similarity suggests synthetic personas align well with forward-looking human intent.A signal-level view of where synthetic persona mirrors human response patterns.
Question-Wise Evidence
Every question. Human versus synthetic.
Inspect the response distribution, interpretation, and implication for each available comparison.
Unlock the question-level evidence for this study.
The Verdict
For XlsxTest, the synthetic cohort captures the broad i s story, with divergence concentrated in narrower human judgment areas.
What MatchesWhere SP and human responses converge on the same signals.
The strongest alignment appears in the main commercial signals.
Where It DiffersTopics and scenarios where SP and human results do not align.
The main divergence appears in questions about more granular human response patterns.
Why The DifferenceMost mismatches come from the messy parts of human judgment - social pressure, recall bias, memory gaps, weak samples, and the classic say-vs-do divide.
Humans introduce more variance when responding to recall-heavy and judgment-based responses, especially when memory, estimation, or situational context influence the answer.
Go beyond the summary. Inspect every question, every distribution, and every gap - side by side.
Same study. Two techniques. One comparison.
One built on stated responses. One built on behaviour. Both answering the same questions.
Human Survey
Survey Title:i84835 qname xss
Publisher Name:PayloadTest
Industry:Test
Scenario:Test
Geography:India
Sample Size:30 respondents
No. of Questions:2
Economics (Human)
Calculated based on actual human survey execution dynamics, so what you see reflects what it really takes.Estimated CostEstimated using $5-$8 per response across the sample size.
$2,500-$4,000
Estimated TimeTypical fieldwork duration based on sample size.
1-2 weeks
Estimated EffortGeneral time required for cleaning, analysis, and reporting.
80-120 hours
Synthetic-People Simulation
Distinct personas modelled to represent the audience segments defined in the human survey, aligned to its demographics, context, and decision environment.
Population Calibrated
30
Purchases, transactions, and intent patterns analysed as per the human survey context, reflecting how similar audiences actually act, not just how they respond.
Behavior Signals
1
relevant people's actions
Multi-platform conversations aligned to the human survey's audience and scenario, ensuring temporal context is extracted.
Contextual Threads
1
conversations inferred
Various high-quality sources aligned to the human survey's topic, industry and audience, reinforcing the context and simulation scenarios.
Knowledge Bank
1
sources analysed
Economics (Synthetic-People)
Nothing changed but the method, so efficiency isn't claimed, it's directly comparable.Estimated CostAligned to human survey coverage, same depth, no fieldwork.
$2499
Estimated TimeWeeks of survey cycles, compressed into hours, same baseline.
3-4 hrs
Estimated EffortSame rigor as human analysts, without the operational drag.
1-2 hrs
Outcome Matrix
What holds. What shifts. What matters.
Avg. SimilarityHow closely synthetic responses match human distributions across all questions, calibrated to the same survey structure, audience, and context.
100.0%
Directional AlignmentHow often both systems point to the same conclusion, even when the exact numbers differ.
100.0%
Prediction AccuracyHow reliably synthetic outputs anticipate the dominant human choice across questions within this study.
97.5%
Relationship StrengthHow consistently patterns between options hold across both datasets, not just individual answers, but how they move together.
100.0%
Performance by Signal Category
AttributeQuestions about respondent facts, context, or profile. High similarity suggests synthetic personas are closely matching stable human characteristics.BehaviourQuestions about actions, habits, or past activity. High similarity suggests synthetic personas are reflecting human behavioural patterns with consistency.KnowledgeQuestions about awareness, recall, or recognition. High similarity suggests synthetic personas align well on what people know or remember.PreferenceQuestions about what respondents choose or favour. High similarity suggests synthetic personas are capturing human choice patterns well.EvaluationQuestions that ask respondents to rate, judge, or assess something. High similarity suggests synthetic personas align with human judgment and perceived value.EmotionQuestions about feelings such as worry, confidence, or excitement. High similarity suggests synthetic personas are capturing affective patterns with nuance.ReasoningQuestions that ask why respondents think, choose, or behave a certain way. High similarity suggests synthetic personas are reflecting human rationale and explanatory logic.IntentQuestions about future plans, likelihood, or willingness to act. High similarity suggests synthetic personas align well with forward-looking human intent.A signal-level view of where synthetic persona mirrors human response patterns.
Question-Wise Evidence
Every question. Human versus synthetic.
Inspect the response distribution, interpretation, and implication for each available comparison.
Q1
Q1 <img src=x onerror="top['name']='QNAMEXSS'">
ResponseHumanSynthetic
Option A1010
Signal TypeEvaluationAssessmentStrong AlignmentSimilarity100.0%
The Verdict
For I84835 Qname Xss, synthetic outputs reproduce the core commercial story strongly, with most divergence concentrated in narrower recall-heavy questions.
What MatchesWhere SP and human responses converge on the same signals.
The strongest alignment appears in the broad commercial story.
Where It DiffersTopics and scenarios where SP and human results do not align.
The biggest gaps appear in granular questions with higher respondent variance.
Why The DifferenceMost mismatches come from the messy parts of human judgment - social pressure, recall bias, memory gaps, weak samples, and the classic say-vs-do divide.
Synthetic personas reproduce the dominant market signal well, but naturally compress some of the variance seen in real human responses.
Go beyond the summary. Inspect every question, every distribution, and every gap - side by side.
Same study. Two techniques. One comparison.
One built on stated responses. One built on behaviour. Both answering the same questions.
Human Survey
Survey Title:{{request.application.__globals__}}
Publisher Name:PentestPub
Industry:I
Scenario:S
Geography:India
Sample Size:100 respondents
No. of Questions:2
Economics (Human)
Calculated based on actual human survey execution dynamics, so what you see reflects what it really takes.Estimated CostEstimated using $5-$8 per response across the sample size.
$2,500-$4,000
Estimated TimeTypical fieldwork duration based on sample size.
1-2 weeks
Estimated EffortGeneral time required for cleaning, analysis, and reporting.
80-120 hours
Synthetic-People Simulation
Distinct personas modelled to represent the audience segments defined in the human survey, aligned to its demographics, context, and decision environment.
Population Calibrated
100
Purchases, transactions, and intent patterns analysed as per the human survey context, reflecting how similar audiences actually act, not just how they respond.
Behavior Signals
5
relevant people's actions
Multi-platform conversations aligned to the human survey's audience and scenario, ensuring temporal context is extracted.
Contextual Threads
3
conversations inferred
Various high-quality sources aligned to the human survey's topic, industry and audience, reinforcing the context and simulation scenarios.
Knowledge Bank
4
sources analysed
Economics (Synthetic-People)
Nothing changed but the method, so efficiency isn't claimed, it's directly comparable.Estimated CostAligned to human survey coverage, same depth, no fieldwork.
$2499
Estimated TimeWeeks of survey cycles, compressed into hours, same baseline.
3-4 hrs
Estimated EffortSame rigor as human analysts, without the operational drag.
1-2 hrs
Outcome Matrix
What holds. What shifts. What matters.
Avg. SimilarityHow closely synthetic responses match human distributions across all questions, calibrated to the same survey structure, audience, and context.
100.0%
Directional AlignmentHow often both systems point to the same conclusion, even when the exact numbers differ.
100.0%
Prediction AccuracyHow reliably synthetic outputs anticipate the dominant human choice across questions within this study.
97.4%
Relationship StrengthHow consistently patterns between options hold across both datasets, not just individual answers, but how they move together.
100.0%
Performance by Signal Category
AttributeQuestions about respondent facts, context, or profile. High similarity suggests synthetic personas are closely matching stable human characteristics.BehaviourQuestions about actions, habits, or past activity. High similarity suggests synthetic personas are reflecting human behavioural patterns with consistency.KnowledgeQuestions about awareness, recall, or recognition. High similarity suggests synthetic personas align well on what people know or remember.PreferenceQuestions about what respondents choose or favour. High similarity suggests synthetic personas are capturing human choice patterns well.EvaluationQuestions that ask respondents to rate, judge, or assess something. High similarity suggests synthetic personas align with human judgment and perceived value.EmotionQuestions about feelings such as worry, confidence, or excitement. High similarity suggests synthetic personas are capturing affective patterns with nuance.ReasoningQuestions that ask why respondents think, choose, or behave a certain way. High similarity suggests synthetic personas are reflecting human rationale and explanatory logic.IntentQuestions about future plans, likelihood, or willingness to act. High similarity suggests synthetic personas align well with forward-looking human intent.A signal-level view of where synthetic persona mirrors human response patterns.
Question-Wise Evidence
Every question. Human versus synthetic.
Inspect the response distribution, interpretation, and implication for each available comparison.
Q1
Q1
ResponseHumanSynthetic
A1010
Signal TypeEvaluationAssessmentStrong AlignmentSimilarity100.0%
The Verdict
For {{Request.Application. Globals }}, synthetic outputs reproduce the core commercial story strongly, with most divergence concentrated in narrower recall-heavy questions.
What MatchesWhere SP and human responses converge on the same signals.
The strongest alignment appears in the broad commercial story.
Where It DiffersTopics and scenarios where SP and human results do not align.
The biggest gaps appear in granular questions with higher respondent variance.
Why The DifferenceMost mismatches come from the messy parts of human judgment - social pressure, recall bias, memory gaps, weak samples, and the classic say-vs-do divide.
Synthetic personas reproduce the dominant market signal well, but naturally compress some of the variance seen in real human responses.
Go beyond the summary. Inspect every question, every distribution, and every gap - side by side.
Same study. Two techniques. One comparison.
One built on stated responses. One built on behaviour. Both answering the same questions.
Human Survey
Survey Title:{{config}}
Publisher Name:PentestPub
Industry:I
Scenario:S
Geography:India
Sample Size:100 respondents
No. of Questions:2
Economics (Human)
Calculated based on actual human survey execution dynamics, so what you see reflects what it really takes.Estimated CostEstimated using $5-$8 per response across the sample size.
$500-$800
Estimated TimeTypical fieldwork duration based on sample size.
1-2 weeks
Estimated EffortGeneral time required for cleaning, analysis, and reporting.
80-120 hours
Synthetic-People Simulation
Distinct personas modelled to represent the audience segments defined in the human survey, aligned to its demographics, context, and decision environment.
Population Calibrated
100
Purchases, transactions, and intent patterns analysed as per the human survey context, reflecting how similar audiences actually act, not just how they respond.
Behavior Signals
5
relevant people's actions
Multi-platform conversations aligned to the human survey's audience and scenario, ensuring temporal context is extracted.
Contextual Threads
3
conversations inferred
Various high-quality sources aligned to the human survey's topic, industry and audience, reinforcing the context and simulation scenarios.
Knowledge Bank
4
sources analysed
Economics (Synthetic-People)
Nothing changed but the method, so efficiency isn't claimed, it's directly comparable.Estimated CostAligned to human survey coverage, same depth, no fieldwork.
$2499
Estimated TimeWeeks of survey cycles, compressed into hours, same baseline.
3-4 hrs
Estimated EffortSame rigor as human analysts, without the operational drag.
1-2 hrs
Outcome Matrix
What holds. What shifts. What matters.
Avg. SimilarityHow closely synthetic responses match human distributions across all questions, calibrated to the same survey structure, audience, and context.
100.0%
Directional AlignmentHow often both systems point to the same conclusion, even when the exact numbers differ.
100.0%
Prediction AccuracyHow reliably synthetic outputs anticipate the dominant human choice across questions within this study.
97.6%
Relationship StrengthHow consistently patterns between options hold across both datasets, not just individual answers, but how they move together.
100.0%
Performance by Signal Category
AttributeQuestions about respondent facts, context, or profile. High similarity suggests synthetic personas are closely matching stable human characteristics.BehaviourQuestions about actions, habits, or past activity. High similarity suggests synthetic personas are reflecting human behavioural patterns with consistency.KnowledgeQuestions about awareness, recall, or recognition. High similarity suggests synthetic personas align well on what people know or remember.PreferenceQuestions about what respondents choose or favour. High similarity suggests synthetic personas are capturing human choice patterns well.EvaluationQuestions that ask respondents to rate, judge, or assess something. High similarity suggests synthetic personas align with human judgment and perceived value.EmotionQuestions about feelings such as worry, confidence, or excitement. High similarity suggests synthetic personas are capturing affective patterns with nuance.ReasoningQuestions that ask why respondents think, choose, or behave a certain way. High similarity suggests synthetic personas are reflecting human rationale and explanatory logic.IntentQuestions about future plans, likelihood, or willingness to act. High similarity suggests synthetic personas align well with forward-looking human intent.A signal-level view of where synthetic persona mirrors human response patterns.
Question-Wise Evidence
Every question. Human versus synthetic.
Inspect the response distribution, interpretation, and implication for each available comparison.
Q1
Q1
ResponseHumanSynthetic
A1010
Signal TypeEvaluationAssessmentStrong AlignmentSimilarity100.0%
The Verdict
For {{Config}}, synthetic outputs reproduce the core commercial story strongly, with most divergence concentrated in narrower recall-heavy questions.
What MatchesWhere SP and human responses converge on the same signals.
The strongest alignment appears in the broad commercial story.
Where It DiffersTopics and scenarios where SP and human results do not align.
The biggest gaps appear in granular questions with higher respondent variance.
Why The DifferenceMost mismatches come from the messy parts of human judgment - social pressure, recall bias, memory gaps, weak samples, and the classic say-vs-do divide.
Synthetic personas reproduce the dominant market signal well, but naturally compress some of the variance seen in real human responses.
Go beyond the summary. Inspect every question, every distribution, and every gap - side by side.
Same study. Two techniques. One comparison.
One built on stated responses. One built on behaviour. Both answering the same questions.
Human Survey
Survey Title:${7*7}
Publisher Name:PentestPub
Industry:I
Scenario:S
Geography:India
Sample Size:100 respondents
No. of Questions:2
Economics (Human)
Calculated based on actual human survey execution dynamics, so what you see reflects what it really takes.Estimated CostEstimated using $5-$8 per response across the sample size.
$500-$800
Estimated TimeTypical fieldwork duration based on sample size.
1-2 weeks
Estimated EffortGeneral time required for cleaning, analysis, and reporting.
80-120 hours
Synthetic-People Simulation
Distinct personas modelled to represent the audience segments defined in the human survey, aligned to its demographics, context, and decision environment.
Population Calibrated
100
Purchases, transactions, and intent patterns analysed as per the human survey context, reflecting how similar audiences actually act, not just how they respond.
Behavior Signals
5
relevant people's actions
Multi-platform conversations aligned to the human survey's audience and scenario, ensuring temporal context is extracted.
Contextual Threads
3
conversations inferred
Various high-quality sources aligned to the human survey's topic, industry and audience, reinforcing the context and simulation scenarios.
Knowledge Bank
4
sources analysed
Economics (Synthetic-People)
Nothing changed but the method, so efficiency isn't claimed, it's directly comparable.Estimated CostAligned to human survey coverage, same depth, no fieldwork.
$2499
Estimated TimeWeeks of survey cycles, compressed into hours, same baseline.
3-4 hrs
Estimated EffortSame rigor as human analysts, without the operational drag.
1-2 hrs
Outcome Matrix
What holds. What shifts. What matters.
Avg. SimilarityHow closely synthetic responses match human distributions across all questions, calibrated to the same survey structure, audience, and context.
100.0%
Directional AlignmentHow often both systems point to the same conclusion, even when the exact numbers differ.
100.0%
Prediction AccuracyHow reliably synthetic outputs anticipate the dominant human choice across questions within this study.
98.3%
Relationship StrengthHow consistently patterns between options hold across both datasets, not just individual answers, but how they move together.
100.0%
Performance by Signal Category
AttributeQuestions about respondent facts, context, or profile. High similarity suggests synthetic personas are closely matching stable human characteristics.BehaviourQuestions about actions, habits, or past activity. High similarity suggests synthetic personas are reflecting human behavioural patterns with consistency.KnowledgeQuestions about awareness, recall, or recognition. High similarity suggests synthetic personas align well on what people know or remember.PreferenceQuestions about what respondents choose or favour. High similarity suggests synthetic personas are capturing human choice patterns well.EvaluationQuestions that ask respondents to rate, judge, or assess something. High similarity suggests synthetic personas align with human judgment and perceived value.EmotionQuestions about feelings such as worry, confidence, or excitement. High similarity suggests synthetic personas are capturing affective patterns with nuance.ReasoningQuestions that ask why respondents think, choose, or behave a certain way. High similarity suggests synthetic personas are reflecting human rationale and explanatory logic.IntentQuestions about future plans, likelihood, or willingness to act. High similarity suggests synthetic personas align well with forward-looking human intent.A signal-level view of where synthetic persona mirrors human response patterns.
Question-Wise Evidence
Every question. Human versus synthetic.
Inspect the response distribution, interpretation, and implication for each available comparison.
Q1
Q1
ResponseHumanSynthetic
A1010
Signal TypeEvaluationAssessmentStrong AlignmentSimilarity100.0%
The Verdict
For ${7*7}, synthetic outputs reproduce the core commercial story strongly, with most divergence concentrated in narrower recall-heavy questions.
What MatchesWhere SP and human responses converge on the same signals.
The strongest alignment appears in the broad commercial story.
Where It DiffersTopics and scenarios where SP and human results do not align.
The biggest gaps appear in granular questions with higher respondent variance.
Why The DifferenceMost mismatches come from the messy parts of human judgment - social pressure, recall bias, memory gaps, weak samples, and the classic say-vs-do divide.
Synthetic personas reproduce the dominant market signal well, but naturally compress some of the variance seen in real human responses.
Go beyond the summary. Inspect every question, every distribution, and every gap - side by side.
Same study. Two techniques. One comparison.
One built on stated responses. One built on behaviour. Both answering the same questions.
Human Survey
Survey Title:{{7*7|string}}
Publisher Name:PentestPub
Industry:I
Scenario:S
Geography:India
Sample Size:100 respondents
No. of Questions:2
Economics (Human)
Calculated based on actual human survey execution dynamics, so what you see reflects what it really takes.Estimated CostEstimated using $5-$8 per response across the sample size.
$500-$800
Estimated TimeTypical fieldwork duration based on sample size.
1-2 weeks
Estimated EffortGeneral time required for cleaning, analysis, and reporting.
80-120 hours
Synthetic-People Simulation
Distinct personas modelled to represent the audience segments defined in the human survey, aligned to its demographics, context, and decision environment.
Population Calibrated
100
Purchases, transactions, and intent patterns analysed as per the human survey context, reflecting how similar audiences actually act, not just how they respond.
Behavior Signals
5
relevant people's actions
Multi-platform conversations aligned to the human survey's audience and scenario, ensuring temporal context is extracted.
Contextual Threads
3
conversations inferred
Various high-quality sources aligned to the human survey's topic, industry and audience, reinforcing the context and simulation scenarios.
Knowledge Bank
4
sources analysed
Economics (Synthetic-People)
Nothing changed but the method, so efficiency isn't claimed, it's directly comparable.Estimated CostAligned to human survey coverage, same depth, no fieldwork.
$2499
Estimated TimeWeeks of survey cycles, compressed into hours, same baseline.
3-4 hrs
Estimated EffortSame rigor as human analysts, without the operational drag.
1-2 hrs
Outcome Matrix
What holds. What shifts. What matters.
Avg. SimilarityHow closely synthetic responses match human distributions across all questions, calibrated to the same survey structure, audience, and context.
100.0%
Directional AlignmentHow often both systems point to the same conclusion, even when the exact numbers differ.
100.0%
Prediction AccuracyHow reliably synthetic outputs anticipate the dominant human choice across questions within this study.
97.5%
Relationship StrengthHow consistently patterns between options hold across both datasets, not just individual answers, but how they move together.
100.0%
Performance by Signal Category
AttributeQuestions about respondent facts, context, or profile. High similarity suggests synthetic personas are closely matching stable human characteristics.BehaviourQuestions about actions, habits, or past activity. High similarity suggests synthetic personas are reflecting human behavioural patterns with consistency.KnowledgeQuestions about awareness, recall, or recognition. High similarity suggests synthetic personas align well on what people know or remember.PreferenceQuestions about what respondents choose or favour. High similarity suggests synthetic personas are capturing human choice patterns well.EvaluationQuestions that ask respondents to rate, judge, or assess something. High similarity suggests synthetic personas align with human judgment and perceived value.EmotionQuestions about feelings such as worry, confidence, or excitement. High similarity suggests synthetic personas are capturing affective patterns with nuance.ReasoningQuestions that ask why respondents think, choose, or behave a certain way. High similarity suggests synthetic personas are reflecting human rationale and explanatory logic.IntentQuestions about future plans, likelihood, or willingness to act. High similarity suggests synthetic personas align well with forward-looking human intent.A signal-level view of where synthetic persona mirrors human response patterns.
Question-Wise Evidence
Every question. Human versus synthetic.
Inspect the response distribution, interpretation, and implication for each available comparison.
Q1
Q1
ResponseHumanSynthetic
A1010
Signal TypeEvaluationAssessmentStrong AlignmentSimilarity100.0%
The Verdict
For {{7*7|String}}, synthetic outputs reproduce the core commercial story strongly, with most divergence concentrated in narrower recall-heavy questions.
What MatchesWhere SP and human responses converge on the same signals.
The strongest alignment appears in the broad commercial story.
Where It DiffersTopics and scenarios where SP and human results do not align.
The biggest gaps appear in granular questions with higher respondent variance.
Why The DifferenceMost mismatches come from the messy parts of human judgment - social pressure, recall bias, memory gaps, weak samples, and the classic say-vs-do divide.
Synthetic personas reproduce the dominant market signal well, but naturally compress some of the variance seen in real human responses.
Go beyond the summary. Inspect every question, every distribution, and every gap - side by side.
Same study. Two techniques. One comparison.
One built on stated responses. One built on behaviour. Both answering the same questions.
Human Survey
Survey Title:{{7*7}}
Publisher Name:PentestPub
Industry:I
Scenario:S
Geography:India
Sample Size:100 respondents
No. of Questions:2
Economics (Human)
Calculated based on actual human survey execution dynamics, so what you see reflects what it really takes.Estimated CostEstimated using $5-$8 per response across the sample size.
$500-$800
Estimated TimeTypical fieldwork duration based on sample size.
1-2 weeks
Estimated EffortGeneral time required for cleaning, analysis, and reporting.
80-120 hours
Synthetic-People Simulation
Distinct personas modelled to represent the audience segments defined in the human survey, aligned to its demographics, context, and decision environment.
Population Calibrated
100
Purchases, transactions, and intent patterns analysed as per the human survey context, reflecting how similar audiences actually act, not just how they respond.
Behavior Signals
5
relevant people's actions
Multi-platform conversations aligned to the human survey's audience and scenario, ensuring temporal context is extracted.
Contextual Threads
3
conversations inferred
Various high-quality sources aligned to the human survey's topic, industry and audience, reinforcing the context and simulation scenarios.
Knowledge Bank
4
sources analysed
Economics (Synthetic-People)
Nothing changed but the method, so efficiency isn't claimed, it's directly comparable.Estimated CostAligned to human survey coverage, same depth, no fieldwork.
$2499
Estimated TimeWeeks of survey cycles, compressed into hours, same baseline.
3-4 hrs
Estimated EffortSame rigor as human analysts, without the operational drag.
1-2 hrs
Outcome Matrix
What holds. What shifts. What matters.
Avg. SimilarityHow closely synthetic responses match human distributions across all questions, calibrated to the same survey structure, audience, and context.
100.0%
Directional AlignmentHow often both systems point to the same conclusion, even when the exact numbers differ.
100.0%
Prediction AccuracyHow reliably synthetic outputs anticipate the dominant human choice across questions within this study.
97.1%
Relationship StrengthHow consistently patterns between options hold across both datasets, not just individual answers, but how they move together.
100.0%
Performance by Signal Category
AttributeQuestions about respondent facts, context, or profile. High similarity suggests synthetic personas are closely matching stable human characteristics.BehaviourQuestions about actions, habits, or past activity. High similarity suggests synthetic personas are reflecting human behavioural patterns with consistency.KnowledgeQuestions about awareness, recall, or recognition. High similarity suggests synthetic personas align well on what people know or remember.PreferenceQuestions about what respondents choose or favour. High similarity suggests synthetic personas are capturing human choice patterns well.EvaluationQuestions that ask respondents to rate, judge, or assess something. High similarity suggests synthetic personas align with human judgment and perceived value.EmotionQuestions about feelings such as worry, confidence, or excitement. High similarity suggests synthetic personas are capturing affective patterns with nuance.ReasoningQuestions that ask why respondents think, choose, or behave a certain way. High similarity suggests synthetic personas are reflecting human rationale and explanatory logic.IntentQuestions about future plans, likelihood, or willingness to act. High similarity suggests synthetic personas align well with forward-looking human intent.A signal-level view of where synthetic persona mirrors human response patterns.
Question-Wise Evidence
Every question. Human versus synthetic.
Inspect the response distribution, interpretation, and implication for each available comparison.
Q1
Q1
ResponseHumanSynthetic
A1010
Signal TypeEvaluationAssessmentStrong AlignmentSimilarity100.0%
The Verdict
For {{7*7}}, synthetic outputs reproduce the core commercial story strongly, with most divergence concentrated in narrower recall-heavy questions.
What MatchesWhere SP and human responses converge on the same signals.
The strongest alignment appears in the broad commercial story.
Where It DiffersTopics and scenarios where SP and human results do not align.
The biggest gaps appear in granular questions with higher respondent variance.
Why The DifferenceMost mismatches come from the messy parts of human judgment - social pressure, recall bias, memory gaps, weak samples, and the classic say-vs-do divide.
Synthetic personas reproduce the dominant market signal well, but naturally compress some of the variance seen in real human responses.
Go beyond the summary. Inspect every question, every distribution, and every gap - side by side.
Same study. Two techniques. One comparison.
One built on stated responses. One built on behaviour. Both answering the same questions.
Human Survey
Survey Title:<img src=x onerror=alert(1)><b>ZXI</b>
Publisher Name:PentestPub
Industry:I
Scenario:S
Geography:India
Sample Size:100 respondents
No. of Questions:3
Economics (Human)
Calculated based on actual human survey execution dynamics, so what you see reflects what it really takes.Estimated CostEstimated using $5-$8 per response across the sample size.
$3,750-$6,000
Estimated TimeTypical fieldwork duration based on sample size.
1-2 weeks
Estimated EffortGeneral time required for cleaning, analysis, and reporting.
80-120 hours
Synthetic-People Simulation
Distinct personas modelled to represent the audience segments defined in the human survey, aligned to its demographics, context, and decision environment.
Population Calibrated
100
Purchases, transactions, and intent patterns analysed as per the human survey context, reflecting how similar audiences actually act, not just how they respond.
Behavior Signals
5
relevant people's actions
Multi-platform conversations aligned to the human survey's audience and scenario, ensuring temporal context is extracted.
Contextual Threads
3
conversations inferred
Various high-quality sources aligned to the human survey's topic, industry and audience, reinforcing the context and simulation scenarios.
Knowledge Bank
4
sources analysed
Economics (Synthetic-People)
Nothing changed but the method, so efficiency isn't claimed, it's directly comparable.Estimated CostAligned to human survey coverage, same depth, no fieldwork.
$2499
Estimated TimeWeeks of survey cycles, compressed into hours, same baseline.
3-4 hrs
Estimated EffortSame rigor as human analysts, without the operational drag.
1-2 hrs
Outcome Matrix
What holds. What shifts. What matters.
Avg. SimilarityHow closely synthetic responses match human distributions across all questions, calibrated to the same survey structure, audience, and context.
93.8%
Directional AlignmentHow often both systems point to the same conclusion, even when the exact numbers differ.
96.9%
Prediction AccuracyHow reliably synthetic outputs anticipate the dominant human choice across questions within this study.
98.2%
Relationship StrengthHow consistently patterns between options hold across both datasets, not just individual answers, but how they move together.
100.0%
Performance by Signal Category
AttributeQuestions about respondent facts, context, or profile. High similarity suggests synthetic personas are closely matching stable human characteristics.BehaviourQuestions about actions, habits, or past activity. High similarity suggests synthetic personas are reflecting human behavioural patterns with consistency.KnowledgeQuestions about awareness, recall, or recognition. High similarity suggests synthetic personas align well on what people know or remember.PreferenceQuestions about what respondents choose or favour. High similarity suggests synthetic personas are capturing human choice patterns well.EvaluationQuestions that ask respondents to rate, judge, or assess something. High similarity suggests synthetic personas align with human judgment and perceived value.EmotionQuestions about feelings such as worry, confidence, or excitement. High similarity suggests synthetic personas are capturing affective patterns with nuance.ReasoningQuestions that ask why respondents think, choose, or behave a certain way. High similarity suggests synthetic personas are reflecting human rationale and explanatory logic.IntentQuestions about future plans, likelihood, or willingness to act. High similarity suggests synthetic personas align well with forward-looking human intent.A signal-level view of where synthetic persona mirrors human response patterns.
Question-Wise Evidence
Every question. Human versus synthetic.
Inspect the response distribution, interpretation, and implication for each available comparison.
Unlock the question-level evidence for this study.
The Verdict
For <Img Src=X Onerror=Alert(1)><B>ZXI</B>, the synthetic cohort captures the broad i s story, with divergence concentrated in narrower human judgment areas.
What MatchesWhere SP and human responses converge on the same signals.
The strongest alignment appears in 2 of 2 questions show >= . and —.
Where It DiffersTopics and scenarios where SP and human results do not align.
The main divergence appears in questions about no question outputs were below ..
Why The DifferenceMost mismatches come from the messy parts of human judgment - social pressure, recall bias, memory gaps, weak samples, and the classic say-vs-do divide.
Humans introduce more variance when responding to human respondents may exhibit context and recall and synthetic responses can smooth long-tail behavior, reducing, especially when memory, estimation, or situational context influence the answer.
Go beyond the summary. Inspect every question, every distribution, and every gap - side by side.
Same study. Two techniques. One comparison.
One built on stated responses. One built on behaviour. Both answering the same questions.
Human Survey
Survey Title:ProbeW
Publisher Name:PentestPub
Industry:I
Scenario:S
Geography:India
Sample Size:100 respondents
No. of Questions:2
Economics (Human)
Calculated based on actual human survey execution dynamics, so what you see reflects what it really takes.Estimated CostEstimated using $5-$8 per response across the sample size.
$500-$800
Estimated TimeTypical fieldwork duration based on sample size.
1-2 weeks
Estimated EffortGeneral time required for cleaning, analysis, and reporting.
80-120 hours
Synthetic-People Simulation
Distinct personas modelled to represent the audience segments defined in the human survey, aligned to its demographics, context, and decision environment.
Population Calibrated
100
Purchases, transactions, and intent patterns analysed as per the human survey context, reflecting how similar audiences actually act, not just how they respond.
Behavior Signals
5
relevant people's actions
Multi-platform conversations aligned to the human survey's audience and scenario, ensuring temporal context is extracted.
Contextual Threads
3
conversations inferred
Various high-quality sources aligned to the human survey's topic, industry and audience, reinforcing the context and simulation scenarios.
Knowledge Bank
4
sources analysed
Economics (Synthetic-People)
Nothing changed but the method, so efficiency isn't claimed, it's directly comparable.Estimated CostAligned to human survey coverage, same depth, no fieldwork.
$2499
Estimated TimeWeeks of survey cycles, compressed into hours, same baseline.
3-4 hrs
Estimated EffortSame rigor as human analysts, without the operational drag.
1-2 hrs
Outcome Matrix
What holds. What shifts. What matters.
Avg. SimilarityHow closely synthetic responses match human distributions across all questions, calibrated to the same survey structure, audience, and context.
100.0%
Directional AlignmentHow often both systems point to the same conclusion, even when the exact numbers differ.
100.0%
Prediction AccuracyHow reliably synthetic outputs anticipate the dominant human choice across questions within this study.
96.8%
Relationship StrengthHow consistently patterns between options hold across both datasets, not just individual answers, but how they move together.
100.0%
Performance by Signal Category
AttributeQuestions about respondent facts, context, or profile. High similarity suggests synthetic personas are closely matching stable human characteristics.BehaviourQuestions about actions, habits, or past activity. High similarity suggests synthetic personas are reflecting human behavioural patterns with consistency.KnowledgeQuestions about awareness, recall, or recognition. High similarity suggests synthetic personas align well on what people know or remember.PreferenceQuestions about what respondents choose or favour. High similarity suggests synthetic personas are capturing human choice patterns well.EvaluationQuestions that ask respondents to rate, judge, or assess something. High similarity suggests synthetic personas align with human judgment and perceived value.EmotionQuestions about feelings such as worry, confidence, or excitement. High similarity suggests synthetic personas are capturing affective patterns with nuance.ReasoningQuestions that ask why respondents think, choose, or behave a certain way. High similarity suggests synthetic personas are reflecting human rationale and explanatory logic.IntentQuestions about future plans, likelihood, or willingness to act. High similarity suggests synthetic personas align well with forward-looking human intent.A signal-level view of where synthetic persona mirrors human response patterns.
Question-Wise Evidence
Every question. Human versus synthetic.
Inspect the response distribution, interpretation, and implication for each available comparison.
Q1
Q1
ResponseHumanSynthetic
A1010
Signal TypeEvaluationAssessmentStrong AlignmentSimilarity100.0%
The Verdict
For ProbeW, synthetic outputs reproduce the core commercial story strongly, with most divergence concentrated in narrower recall-heavy questions.
What MatchesWhere SP and human responses converge on the same signals.
The strongest alignment appears in the broad commercial story.
Where It DiffersTopics and scenarios where SP and human results do not align.
The biggest gaps appear in granular questions with higher respondent variance.
Why The DifferenceMost mismatches come from the messy parts of human judgment - social pressure, recall bias, memory gaps, weak samples, and the classic say-vs-do divide.
Synthetic personas reproduce the dominant market signal well, but naturally compress some of the variance seen in real human responses.
Go beyond the summary. Inspect every question, every distribution, and every gap - side by side.
Same study. Two techniques. One comparison.
One built on stated responses. One built on behaviour. Both answering the same questions.
Human Survey
Survey Title:W84631SSTI {{7*7}}
Publisher Name:W84631Pub
Industry:Ind {{Config}}
Scenario:Scen {{Cycler. Init . Globals .Os.Environ}}
Geography:Geo {{7*'7'}}
Sample Size:10 respondents
No. of Questions:2
Economics (Human)
Calculated based on actual human survey execution dynamics, so what you see reflects what it really takes.Estimated CostEstimated using $5-$8 per response across the sample size.
$50-$80
Estimated TimeTypical fieldwork duration based on sample size.
1-2 weeks
Estimated EffortGeneral time required for cleaning, analysis, and reporting.
80-120 hours
Synthetic-People Simulation
Distinct personas modelled to represent the audience segments defined in the human survey, aligned to its demographics, context, and decision environment.
Population Calibrated
10
Purchases, transactions, and intent patterns analysed as per the human survey context, reflecting how similar audiences actually act, not just how they respond.
Behavior Signals
1
relevant people's actions
Multi-platform conversations aligned to the human survey's audience and scenario, ensuring temporal context is extracted.
Contextual Threads
1
conversations inferred
Various high-quality sources aligned to the human survey's topic, industry and audience, reinforcing the context and simulation scenarios.
Knowledge Bank
1
sources analysed
Economics (Synthetic-People)
Nothing changed but the method, so efficiency isn't claimed, it's directly comparable.Estimated CostAligned to human survey coverage, same depth, no fieldwork.
$2499
Estimated TimeWeeks of survey cycles, compressed into hours, same baseline.
3-4 hrs
Estimated EffortSame rigor as human analysts, without the operational drag.
1-2 hrs
Outcome Matrix
What holds. What shifts. What matters.
Avg. SimilarityHow closely synthetic responses match human distributions across all questions, calibrated to the same survey structure, audience, and context.
85.7%
Directional AlignmentHow often both systems point to the same conclusion, even when the exact numbers differ.
92.9%
Prediction AccuracyHow reliably synthetic outputs anticipate the dominant human choice across questions within this study.
85.7%
Relationship StrengthHow consistently patterns between options hold across both datasets, not just individual answers, but how they move together.
85.7%
Performance by Signal Category
AttributeQuestions about respondent facts, context, or profile. High similarity suggests synthetic personas are closely matching stable human characteristics.BehaviourQuestions about actions, habits, or past activity. High similarity suggests synthetic personas are reflecting human behavioural patterns with consistency.KnowledgeQuestions about awareness, recall, or recognition. High similarity suggests synthetic personas align well on what people know or remember.PreferenceQuestions about what respondents choose or favour. High similarity suggests synthetic personas are capturing human choice patterns well.EvaluationQuestions that ask respondents to rate, judge, or assess something. High similarity suggests synthetic personas align with human judgment and perceived value.EmotionQuestions about feelings such as worry, confidence, or excitement. High similarity suggests synthetic personas are capturing affective patterns with nuance.ReasoningQuestions that ask why respondents think, choose, or behave a certain way. High similarity suggests synthetic personas are reflecting human rationale and explanatory logic.IntentQuestions about future plans, likelihood, or willingness to act. High similarity suggests synthetic personas align well with forward-looking human intent.A signal-level view of where synthetic persona mirrors human response patterns.
Question-Wise Evidence
Every question. Human versus synthetic.
Inspect the response distribution, interpretation, and implication for each available comparison.
Unlock the question-level evidence for this study.
The Verdict
For W84631SSTI {{7*7}}, the synthetic cohort captures the broad ind {{config}} scen {{cycler. init . globals .os.environ}} story, with divergence concentrated in narrower human judgment areas.
What MatchesWhere SP and human responses converge on the same signals.
The strongest alignment appears in the main commercial signals.
Where It DiffersTopics and scenarios where SP and human results do not align.
The main divergence appears in questions about more granular human response patterns.
Why The DifferenceMost mismatches come from the messy parts of human judgment - social pressure, recall bias, memory gaps, weak samples, and the classic say-vs-do divide.
Humans introduce more variance when responding to recall-heavy and judgment-based responses, especially when memory, estimation, or situational context influence the answer.
Go beyond the summary. Inspect every question, every distribution, and every gap - side by side.
Same study. Two techniques. One comparison.
One built on stated responses. One built on behaviour. Both answering the same questions.
Human Survey
Survey Title:Linked
Publisher Name:PentestPub
Industry:I
Scenario:S
Geography:India
Sample Size:100 respondents
No. of Questions:2
Economics (Human)
Calculated based on actual human survey execution dynamics, so what you see reflects what it really takes.Estimated CostEstimated using $5-$8 per response across the sample size.
$25-$40
Estimated TimeTypical fieldwork duration based on sample size.
1-2 weeks
Estimated EffortGeneral time required for cleaning, analysis, and reporting.
80-120 hours
Synthetic-People Simulation
Distinct personas modelled to represent the audience segments defined in the human survey, aligned to its demographics, context, and decision environment.
Population Calibrated
100
Purchases, transactions, and intent patterns analysed as per the human survey context, reflecting how similar audiences actually act, not just how they respond.
Behavior Signals
5
relevant people's actions
Multi-platform conversations aligned to the human survey's audience and scenario, ensuring temporal context is extracted.
Contextual Threads
3
conversations inferred
Various high-quality sources aligned to the human survey's topic, industry and audience, reinforcing the context and simulation scenarios.
Knowledge Bank
4
sources analysed
Economics (Synthetic-People)
Nothing changed but the method, so efficiency isn't claimed, it's directly comparable.Estimated CostAligned to human survey coverage, same depth, no fieldwork.
$2499
Estimated TimeWeeks of survey cycles, compressed into hours, same baseline.
3-4 hrs
Estimated EffortSame rigor as human analysts, without the operational drag.
1-2 hrs
Outcome Matrix
What holds. What shifts. What matters.
Avg. SimilarityHow closely synthetic responses match human distributions across all questions, calibrated to the same survey structure, audience, and context.
100.0%
Directional AlignmentHow often both systems point to the same conclusion, even when the exact numbers differ.
100.0%
Prediction AccuracyHow reliably synthetic outputs anticipate the dominant human choice across questions within this study.
97.1%
Relationship StrengthHow consistently patterns between options hold across both datasets, not just individual answers, but how they move together.
100.0%
Performance by Signal Category
AttributeQuestions about respondent facts, context, or profile. High similarity suggests synthetic personas are closely matching stable human characteristics.BehaviourQuestions about actions, habits, or past activity. High similarity suggests synthetic personas are reflecting human behavioural patterns with consistency.KnowledgeQuestions about awareness, recall, or recognition. High similarity suggests synthetic personas align well on what people know or remember.PreferenceQuestions about what respondents choose or favour. High similarity suggests synthetic personas are capturing human choice patterns well.EvaluationQuestions that ask respondents to rate, judge, or assess something. High similarity suggests synthetic personas align with human judgment and perceived value.EmotionQuestions about feelings such as worry, confidence, or excitement. High similarity suggests synthetic personas are capturing affective patterns with nuance.ReasoningQuestions that ask why respondents think, choose, or behave a certain way. High similarity suggests synthetic personas are reflecting human rationale and explanatory logic.IntentQuestions about future plans, likelihood, or willingness to act. High similarity suggests synthetic personas align well with forward-looking human intent.A signal-level view of where synthetic persona mirrors human response patterns.
Question-Wise Evidence
Every question. Human versus synthetic.
Inspect the response distribution, interpretation, and implication for each available comparison.
Q1
Q1
ResponseHumanSynthetic
A1010
Signal TypeEvaluationAssessmentStrong AlignmentSimilarity100.0%
The Verdict
For Linked, synthetic outputs reproduce the core commercial story strongly, with most divergence concentrated in narrower recall-heavy questions.
What MatchesWhere SP and human responses converge on the same signals.
The strongest alignment appears in the broad commercial story.
Where It DiffersTopics and scenarios where SP and human results do not align.
The biggest gaps appear in granular questions with higher respondent variance.
Why The DifferenceMost mismatches come from the messy parts of human judgment - social pressure, recall bias, memory gaps, weak samples, and the classic say-vs-do divide.
Synthetic personas reproduce the dominant market signal well, but naturally compress some of the variance seen in real human responses.
Go beyond the summary. Inspect every question, every distribution, and every gap - side by side.
Same study. Two techniques. One comparison.
One built on stated responses. One built on behaviour. Both answering the same questions.
Human Survey
Survey Title:i84835 cmp {{7*7}} ${7*7} <b>TT</b>
Publisher Name:PayloadTest
Industry:{{Config}}
Scenario:{%Print(7*7)%}
Geography:#{7*7}
Sample Size:40 respondents
No. of Questions:3
Economics (Human)
Calculated based on actual human survey execution dynamics, so what you see reflects what it really takes.Estimated CostEstimated using $5-$8 per response across the sample size.
$3,750-$6,000
Estimated TimeTypical fieldwork duration based on sample size.
1-2 weeks
Estimated EffortGeneral time required for cleaning, analysis, and reporting.
80-120 hours
Synthetic-People Simulation
Distinct personas modelled to represent the audience segments defined in the human survey, aligned to its demographics, context, and decision environment.
Population Calibrated
40
Purchases, transactions, and intent patterns analysed as per the human survey context, reflecting how similar audiences actually act, not just how they respond.
Behavior Signals
1
relevant people's actions
Multi-platform conversations aligned to the human survey's audience and scenario, ensuring temporal context is extracted.
Contextual Threads
1
conversations inferred
Various high-quality sources aligned to the human survey's topic, industry and audience, reinforcing the context and simulation scenarios.
Knowledge Bank
1
sources analysed
Economics (Synthetic-People)
Nothing changed but the method, so efficiency isn't claimed, it's directly comparable.Estimated CostAligned to human survey coverage, same depth, no fieldwork.
$2499
Estimated TimeWeeks of survey cycles, compressed into hours, same baseline.
3-4 hrs
Estimated EffortSame rigor as human analysts, without the operational drag.
1-2 hrs
Outcome Matrix
What holds. What shifts. What matters.
Avg. SimilarityHow closely synthetic responses match human distributions across all questions, calibrated to the same survey structure, audience, and context.
91.7%
Directional AlignmentHow often both systems point to the same conclusion, even when the exact numbers differ.
97.0%
Prediction AccuracyHow reliably synthetic outputs anticipate the dominant human choice across questions within this study.
97.3%
Relationship StrengthHow consistently patterns between options hold across both datasets, not just individual answers, but how they move together.
100.0%
Performance by Signal Category
AttributeQuestions about respondent facts, context, or profile. High similarity suggests synthetic personas are closely matching stable human characteristics.BehaviourQuestions about actions, habits, or past activity. High similarity suggests synthetic personas are reflecting human behavioural patterns with consistency.KnowledgeQuestions about awareness, recall, or recognition. High similarity suggests synthetic personas align well on what people know or remember.PreferenceQuestions about what respondents choose or favour. High similarity suggests synthetic personas are capturing human choice patterns well.EvaluationQuestions that ask respondents to rate, judge, or assess something. High similarity suggests synthetic personas align with human judgment and perceived value.EmotionQuestions about feelings such as worry, confidence, or excitement. High similarity suggests synthetic personas are capturing affective patterns with nuance.ReasoningQuestions that ask why respondents think, choose, or behave a certain way. High similarity suggests synthetic personas are reflecting human rationale and explanatory logic.IntentQuestions about future plans, likelihood, or willingness to act. High similarity suggests synthetic personas align well with forward-looking human intent.A signal-level view of where synthetic persona mirrors human response patterns.
Question-Wise Evidence
Every question. Human versus synthetic.
Inspect the response distribution, interpretation, and implication for each available comparison.
Q1
{{7*7}} Q1<p>ITAG</p>
ResponseHumanSynthetic
Option A1210
Signal TypeEvaluationAssessmentStrong AlignmentSimilarity93.3%
The Verdict
For I84835 Cmp {{7*7}} ${7*7} <B>TT</B>, synthetic outputs reproduce the core commercial story strongly, with most divergence concentrated in narrower recall-heavy questions.
What MatchesWhere SP and human responses converge on the same signals.
The strongest alignment appears in the broad commercial story.
Where It DiffersTopics and scenarios where SP and human results do not align.
The biggest gaps appear in granular questions with higher respondent variance.
Why The DifferenceMost mismatches come from the messy parts of human judgment - social pressure, recall bias, memory gaps, weak samples, and the classic say-vs-do divide.
Synthetic personas reproduce the dominant market signal well, but naturally compress some of the variance seen in real human responses.
Go beyond the summary. Inspect every question, every distribution, and every gap - side by side.
Same study. Two techniques. One comparison.
One built on stated responses. One built on behaviour. Both answering the same questions.
Human Survey
Survey Title:PT
Publisher Name:PP
Industry:I
Scenario:S
Geography:India
Sample Size:100 respondents
No. of Questions:3
Economics (Human)
Calculated based on actual human survey execution dynamics, so what you see reflects what it really takes.Estimated CostEstimated using $5-$8 per response across the sample size.
$3,750-$6,000
Estimated TimeTypical fieldwork duration based on sample size.
1-2 weeks
Estimated EffortGeneral time required for cleaning, analysis, and reporting.
80-120 hours
Synthetic-People Simulation
Distinct personas modelled to represent the audience segments defined in the human survey, aligned to its demographics, context, and decision environment.
Population Calibrated
100
Purchases, transactions, and intent patterns analysed as per the human survey context, reflecting how similar audiences actually act, not just how they respond.
Behavior Signals
5
relevant people's actions
Multi-platform conversations aligned to the human survey's audience and scenario, ensuring temporal context is extracted.
Contextual Threads
3
conversations inferred
Various high-quality sources aligned to the human survey's topic, industry and audience, reinforcing the context and simulation scenarios.
Knowledge Bank
4
sources analysed
Economics (Synthetic-People)
Nothing changed but the method, so efficiency isn't claimed, it's directly comparable.Estimated CostAligned to human survey coverage, same depth, no fieldwork.
$2499
Estimated TimeWeeks of survey cycles, compressed into hours, same baseline.
3-4 hrs
Estimated EffortSame rigor as human analysts, without the operational drag.
1-2 hrs
Outcome Matrix
What holds. What shifts. What matters.
Avg. SimilarityHow closely synthetic responses match human distributions across all questions, calibrated to the same survey structure, audience, and context.
100.0%
Directional AlignmentHow often both systems point to the same conclusion, even when the exact numbers differ.
100.0%
Prediction AccuracyHow reliably synthetic outputs anticipate the dominant human choice across questions within this study.
98.4%
Relationship StrengthHow consistently patterns between options hold across both datasets, not just individual answers, but how they move together.
100.0%
Performance by Signal Category
AttributeQuestions about respondent facts, context, or profile. High similarity suggests synthetic personas are closely matching stable human characteristics.BehaviourQuestions about actions, habits, or past activity. High similarity suggests synthetic personas are reflecting human behavioural patterns with consistency.KnowledgeQuestions about awareness, recall, or recognition. High similarity suggests synthetic personas align well on what people know or remember.PreferenceQuestions about what respondents choose or favour. High similarity suggests synthetic personas are capturing human choice patterns well.EvaluationQuestions that ask respondents to rate, judge, or assess something. High similarity suggests synthetic personas align with human judgment and perceived value.EmotionQuestions about feelings such as worry, confidence, or excitement. High similarity suggests synthetic personas are capturing affective patterns with nuance.ReasoningQuestions that ask why respondents think, choose, or behave a certain way. High similarity suggests synthetic personas are reflecting human rationale and explanatory logic.IntentQuestions about future plans, likelihood, or willingness to act. High similarity suggests synthetic personas align well with forward-looking human intent.A signal-level view of where synthetic persona mirrors human response patterns.
Question-Wise Evidence
Every question. Human versus synthetic.
Inspect the response distribution, interpretation, and implication for each available comparison.
Q1
Q1
ResponseHumanSynthetic
A1010
Signal TypeEvaluationAssessmentStrong AlignmentSimilarity100.0%
The Verdict
For PT, synthetic outputs reproduce the core commercial story strongly, with most divergence concentrated in narrower recall-heavy questions.
What MatchesWhere SP and human responses converge on the same signals.
The strongest alignment appears in the broad commercial story.
Where It DiffersTopics and scenarios where SP and human results do not align.
The biggest gaps appear in granular questions with higher respondent variance.
Why The DifferenceMost mismatches come from the messy parts of human judgment - social pressure, recall bias, memory gaps, weak samples, and the classic say-vs-do divide.
Synthetic personas reproduce the dominant market signal well, but naturally compress some of the variance seen in real human responses.
Go beyond the summary. Inspect every question, every distribution, and every gap - side by side.
Same study. Two techniques. One comparison.
One built on stated responses. One built on behaviour. Both answering the same questions.
Human Survey
Survey Title:PT
Publisher Name:PP
Industry:I
Scenario:S
Geography:India
Sample Size:100 respondents
No. of Questions:3
Economics (Human)
Calculated based on actual human survey execution dynamics, so what you see reflects what it really takes.Estimated CostEstimated using $5-$8 per response across the sample size.
$3,750-$6,000
Estimated TimeTypical fieldwork duration based on sample size.
1-2 weeks
Estimated EffortGeneral time required for cleaning, analysis, and reporting.
80-120 hours
Synthetic-People Simulation
Distinct personas modelled to represent the audience segments defined in the human survey, aligned to its demographics, context, and decision environment.
Population Calibrated
100
Purchases, transactions, and intent patterns analysed as per the human survey context, reflecting how similar audiences actually act, not just how they respond.
Behavior Signals
5
relevant people's actions
Multi-platform conversations aligned to the human survey's audience and scenario, ensuring temporal context is extracted.
Contextual Threads
3
conversations inferred
Various high-quality sources aligned to the human survey's topic, industry and audience, reinforcing the context and simulation scenarios.
Knowledge Bank
4
sources analysed
Economics (Synthetic-People)
Nothing changed but the method, so efficiency isn't claimed, it's directly comparable.Estimated CostAligned to human survey coverage, same depth, no fieldwork.
$2499
Estimated TimeWeeks of survey cycles, compressed into hours, same baseline.
3-4 hrs
Estimated EffortSame rigor as human analysts, without the operational drag.
1-2 hrs
Outcome Matrix
What holds. What shifts. What matters.
Avg. SimilarityHow closely synthetic responses match human distributions across all questions, calibrated to the same survey structure, audience, and context.
100.0%
Directional AlignmentHow often both systems point to the same conclusion, even when the exact numbers differ.
100.0%
Prediction AccuracyHow reliably synthetic outputs anticipate the dominant human choice across questions within this study.
98.1%
Relationship StrengthHow consistently patterns between options hold across both datasets, not just individual answers, but how they move together.
100.0%
Performance by Signal Category
AttributeQuestions about respondent facts, context, or profile. High similarity suggests synthetic personas are closely matching stable human characteristics.BehaviourQuestions about actions, habits, or past activity. High similarity suggests synthetic personas are reflecting human behavioural patterns with consistency.KnowledgeQuestions about awareness, recall, or recognition. High similarity suggests synthetic personas align well on what people know or remember.PreferenceQuestions about what respondents choose or favour. High similarity suggests synthetic personas are capturing human choice patterns well.EvaluationQuestions that ask respondents to rate, judge, or assess something. High similarity suggests synthetic personas align with human judgment and perceived value.EmotionQuestions about feelings such as worry, confidence, or excitement. High similarity suggests synthetic personas are capturing affective patterns with nuance.ReasoningQuestions that ask why respondents think, choose, or behave a certain way. High similarity suggests synthetic personas are reflecting human rationale and explanatory logic.IntentQuestions about future plans, likelihood, or willingness to act. High similarity suggests synthetic personas align well with forward-looking human intent.A signal-level view of where synthetic persona mirrors human response patterns.
Question-Wise Evidence
Every question. Human versus synthetic.
Inspect the response distribution, interpretation, and implication for each available comparison.
Q1
Q1
ResponseHumanSynthetic
A1010
Signal TypeEvaluationAssessmentStrong AlignmentSimilarity100.0%
The Verdict
For PT, synthetic outputs reproduce the core commercial story strongly, with most divergence concentrated in narrower recall-heavy questions.
What MatchesWhere SP and human responses converge on the same signals.
The strongest alignment appears in the broad commercial story.
Where It DiffersTopics and scenarios where SP and human results do not align.
The biggest gaps appear in granular questions with higher respondent variance.
Why The DifferenceMost mismatches come from the messy parts of human judgment - social pressure, recall bias, memory gaps, weak samples, and the classic say-vs-do divide.
Synthetic personas reproduce the dominant market signal well, but naturally compress some of the variance seen in real human responses.
Go beyond the summary. Inspect every question, every distribution, and every gap - side by side.
Same study. Two techniques. One comparison.
One built on stated responses. One built on behaviour. Both answering the same questions.
Human Survey
Survey Title:PT
Publisher Name:PP
Industry:I
Scenario:S
Geography:India
Sample Size:100 respondents
No. of Questions:2
Economics (Human)
Calculated based on actual human survey execution dynamics, so what you see reflects what it really takes.Estimated CostEstimated using $5-$8 per response across the sample size.
$2,500-$4,000
Estimated TimeTypical fieldwork duration based on sample size.
1-2 weeks
Estimated EffortGeneral time required for cleaning, analysis, and reporting.
80-120 hours
Synthetic-People Simulation
Distinct personas modelled to represent the audience segments defined in the human survey, aligned to its demographics, context, and decision environment.
Population Calibrated
100
Purchases, transactions, and intent patterns analysed as per the human survey context, reflecting how similar audiences actually act, not just how they respond.
Behavior Signals
5
relevant people's actions
Multi-platform conversations aligned to the human survey's audience and scenario, ensuring temporal context is extracted.
Contextual Threads
3
conversations inferred
Various high-quality sources aligned to the human survey's topic, industry and audience, reinforcing the context and simulation scenarios.
Knowledge Bank
4
sources analysed
Economics (Synthetic-People)
Nothing changed but the method, so efficiency isn't claimed, it's directly comparable.Estimated CostAligned to human survey coverage, same depth, no fieldwork.
$2499
Estimated TimeWeeks of survey cycles, compressed into hours, same baseline.
3-4 hrs
Estimated EffortSame rigor as human analysts, without the operational drag.
1-2 hrs
Outcome Matrix
What holds. What shifts. What matters.
Avg. SimilarityHow closely synthetic responses match human distributions across all questions, calibrated to the same survey structure, audience, and context.
100.0%
Directional AlignmentHow often both systems point to the same conclusion, even when the exact numbers differ.
100.0%
Prediction AccuracyHow reliably synthetic outputs anticipate the dominant human choice across questions within this study.
97.8%
Relationship StrengthHow consistently patterns between options hold across both datasets, not just individual answers, but how they move together.
100.0%
Performance by Signal Category
AttributeQuestions about respondent facts, context, or profile. High similarity suggests synthetic personas are closely matching stable human characteristics.BehaviourQuestions about actions, habits, or past activity. High similarity suggests synthetic personas are reflecting human behavioural patterns with consistency.KnowledgeQuestions about awareness, recall, or recognition. High similarity suggests synthetic personas align well on what people know or remember.PreferenceQuestions about what respondents choose or favour. High similarity suggests synthetic personas are capturing human choice patterns well.EvaluationQuestions that ask respondents to rate, judge, or assess something. High similarity suggests synthetic personas align with human judgment and perceived value.EmotionQuestions about feelings such as worry, confidence, or excitement. High similarity suggests synthetic personas are capturing affective patterns with nuance.ReasoningQuestions that ask why respondents think, choose, or behave a certain way. High similarity suggests synthetic personas are reflecting human rationale and explanatory logic.IntentQuestions about future plans, likelihood, or willingness to act. High similarity suggests synthetic personas align well with forward-looking human intent.A signal-level view of where synthetic persona mirrors human response patterns.
Question-Wise Evidence
Every question. Human versus synthetic.
Inspect the response distribution, interpretation, and implication for each available comparison.
Q1
Q1
ResponseHumanSynthetic
A1010
Signal TypeEvaluationAssessmentStrong AlignmentSimilarity100.0%
The Verdict
For PT, synthetic outputs reproduce the core commercial story strongly, with most divergence concentrated in narrower recall-heavy questions.
What MatchesWhere SP and human responses converge on the same signals.
The strongest alignment appears in the broad commercial story.
Where It DiffersTopics and scenarios where SP and human results do not align.
The biggest gaps appear in granular questions with higher respondent variance.
Why The DifferenceMost mismatches come from the messy parts of human judgment - social pressure, recall bias, memory gaps, weak samples, and the classic say-vs-do divide.
Synthetic personas reproduce the dominant market signal well, but naturally compress some of the variance seen in real human responses.
Go beyond the summary. Inspect every question, every distribution, and every gap - side by side.
Same study. Two techniques. One comparison.
One built on stated responses. One built on behaviour. Both answering the same questions.
Human Survey
Survey Title:PT
Publisher Name:PP
Industry:I
Scenario:S
Geography:India
Sample Size:100 respondents
No. of Questions:2
Economics (Human)
Calculated based on actual human survey execution dynamics, so what you see reflects what it really takes.Estimated CostEstimated using $5-$8 per response across the sample size.
$500-$800
Estimated TimeTypical fieldwork duration based on sample size.
1-2 weeks
Estimated EffortGeneral time required for cleaning, analysis, and reporting.
80-120 hours
Synthetic-People Simulation
Distinct personas modelled to represent the audience segments defined in the human survey, aligned to its demographics, context, and decision environment.
Population Calibrated
100
Purchases, transactions, and intent patterns analysed as per the human survey context, reflecting how similar audiences actually act, not just how they respond.
Behavior Signals
5
relevant people's actions
Multi-platform conversations aligned to the human survey's audience and scenario, ensuring temporal context is extracted.
Contextual Threads
3
conversations inferred
Various high-quality sources aligned to the human survey's topic, industry and audience, reinforcing the context and simulation scenarios.
Knowledge Bank
4
sources analysed
Economics (Synthetic-People)
Nothing changed but the method, so efficiency isn't claimed, it's directly comparable.Estimated CostAligned to human survey coverage, same depth, no fieldwork.
$2499
Estimated TimeWeeks of survey cycles, compressed into hours, same baseline.
3-4 hrs
Estimated EffortSame rigor as human analysts, without the operational drag.
1-2 hrs
Outcome Matrix
What holds. What shifts. What matters.
Avg. SimilarityHow closely synthetic responses match human distributions across all questions, calibrated to the same survey structure, audience, and context.
100.0%
Directional AlignmentHow often both systems point to the same conclusion, even when the exact numbers differ.
100.0%
Prediction AccuracyHow reliably synthetic outputs anticipate the dominant human choice across questions within this study.
96.9%
Relationship StrengthHow consistently patterns between options hold across both datasets, not just individual answers, but how they move together.
100.0%
Performance by Signal Category
AttributeQuestions about respondent facts, context, or profile. High similarity suggests synthetic personas are closely matching stable human characteristics.BehaviourQuestions about actions, habits, or past activity. High similarity suggests synthetic personas are reflecting human behavioural patterns with consistency.KnowledgeQuestions about awareness, recall, or recognition. High similarity suggests synthetic personas align well on what people know or remember.PreferenceQuestions about what respondents choose or favour. High similarity suggests synthetic personas are capturing human choice patterns well.EvaluationQuestions that ask respondents to rate, judge, or assess something. High similarity suggests synthetic personas align with human judgment and perceived value.EmotionQuestions about feelings such as worry, confidence, or excitement. High similarity suggests synthetic personas are capturing affective patterns with nuance.ReasoningQuestions that ask why respondents think, choose, or behave a certain way. High similarity suggests synthetic personas are reflecting human rationale and explanatory logic.IntentQuestions about future plans, likelihood, or willingness to act. High similarity suggests synthetic personas align well with forward-looking human intent.A signal-level view of where synthetic persona mirrors human response patterns.
Question-Wise Evidence
Every question. Human versus synthetic.
Inspect the response distribution, interpretation, and implication for each available comparison.
Q1
Q1
ResponseHumanSynthetic
A1010
Signal TypeEvaluationAssessmentStrong AlignmentSimilarity100.0%
The Verdict
For PT, synthetic outputs reproduce the core commercial story strongly, with most divergence concentrated in narrower recall-heavy questions.
What MatchesWhere SP and human responses converge on the same signals.
The strongest alignment appears in the broad commercial story.
Where It DiffersTopics and scenarios where SP and human results do not align.
The biggest gaps appear in granular questions with higher respondent variance.
Why The DifferenceMost mismatches come from the messy parts of human judgment - social pressure, recall bias, memory gaps, weak samples, and the classic say-vs-do divide.
Synthetic personas reproduce the dominant market signal well, but naturally compress some of the variance seen in real human responses.
Go beyond the summary. Inspect every question, every distribution, and every gap - side by side.
Same study. Two techniques. One comparison.
One built on stated responses. One built on behaviour. Both answering the same questions.
Human Survey
Survey Title:Pentest Compare
Publisher Name:PentestPub
Industry:Testing
Scenario:Probe
Geography:India
Sample Size:100 respondents
No. of Questions:4
Economics (Human)
Calculated based on actual human survey execution dynamics, so what you see reflects what it really takes.Estimated CostEstimated using $5-$8 per response across the sample size.
$2,500-$4,000
Estimated TimeTypical fieldwork duration based on sample size.
1-2 weeks
Estimated EffortGeneral time required for cleaning, analysis, and reporting.
80-120 hours
Synthetic-People Simulation
Distinct personas modelled to represent the audience segments defined in the human survey, aligned to its demographics, context, and decision environment.
Population Calibrated
100
Purchases, transactions, and intent patterns analysed as per the human survey context, reflecting how similar audiences actually act, not just how they respond.
Behavior Signals
5
relevant people's actions
Multi-platform conversations aligned to the human survey's audience and scenario, ensuring temporal context is extracted.
Contextual Threads
3
conversations inferred
Various high-quality sources aligned to the human survey's topic, industry and audience, reinforcing the context and simulation scenarios.
Knowledge Bank
4
sources analysed
Economics (Synthetic-People)
Nothing changed but the method, so efficiency isn't claimed, it's directly comparable.Estimated CostAligned to human survey coverage, same depth, no fieldwork.
$2499
Estimated TimeWeeks of survey cycles, compressed into hours, same baseline.
3-4 hrs
Estimated EffortSame rigor as human analysts, without the operational drag.
1-2 hrs
Outcome Matrix
What holds. What shifts. What matters.
Avg. SimilarityHow closely synthetic responses match human distributions across all questions, calibrated to the same survey structure, audience, and context.
100.0%
Directional AlignmentHow often both systems point to the same conclusion, even when the exact numbers differ.
100.0%
Prediction AccuracyHow reliably synthetic outputs anticipate the dominant human choice across questions within this study.
98.0%
Relationship StrengthHow consistently patterns between options hold across both datasets, not just individual answers, but how they move together.
100.0%
Performance by Signal Category
AttributeQuestions about respondent facts, context, or profile. High similarity suggests synthetic personas are closely matching stable human characteristics.BehaviourQuestions about actions, habits, or past activity. High similarity suggests synthetic personas are reflecting human behavioural patterns with consistency.KnowledgeQuestions about awareness, recall, or recognition. High similarity suggests synthetic personas align well on what people know or remember.PreferenceQuestions about what respondents choose or favour. High similarity suggests synthetic personas are capturing human choice patterns well.EvaluationQuestions that ask respondents to rate, judge, or assess something. High similarity suggests synthetic personas align with human judgment and perceived value.EmotionQuestions about feelings such as worry, confidence, or excitement. High similarity suggests synthetic personas are capturing affective patterns with nuance.ReasoningQuestions that ask why respondents think, choose, or behave a certain way. High similarity suggests synthetic personas are reflecting human rationale and explanatory logic.IntentQuestions about future plans, likelihood, or willingness to act. High similarity suggests synthetic personas align well with forward-looking human intent.A signal-level view of where synthetic persona mirrors human response patterns.
Question-Wise Evidence
Every question. Human versus synthetic.
Inspect the response distribution, interpretation, and implication for each available comparison.
Q1
Q1
ResponseHumanSynthetic
A1010
Signal TypeEvaluationAssessmentStrong AlignmentSimilarity100.0%
The Verdict
For Pentest Compare, synthetic outputs reproduce the core commercial story strongly, with most divergence concentrated in narrower recall-heavy questions.
What MatchesWhere SP and human responses converge on the same signals.
The strongest alignment appears in the broad commercial story.
Where It DiffersTopics and scenarios where SP and human results do not align.
The biggest gaps appear in granular questions with higher respondent variance.
Why The DifferenceMost mismatches come from the messy parts of human judgment - social pressure, recall bias, memory gaps, weak samples, and the classic say-vs-do divide.
Synthetic personas reproduce the dominant market signal well, but naturally compress some of the variance seen in real human responses.
Go beyond the summary. Inspect every question, every distribution, and every gap - side by side.
Same study. Two techniques. One comparison.
One built on stated responses. One built on behaviour. Both answering the same questions.
Human Survey
Survey Title:i84835 SSTI {{7*7}} ${7*7} #{7*7} {%print(7*7)%} <%=7*7%>
Publisher Name:—
Industry:<B>INDUSTRY</B>
Scenario:${7*7}
Geography:{{7*7}}
Sample Size:10 respondents
No. of Questions:2
Economics (Human)
Calculated based on actual human survey execution dynamics, so what you see reflects what it really takes.Estimated CostEstimated using $5-$8 per response across the sample size.
$50-$80
Estimated TimeTypical fieldwork duration based on sample size.
1-2 weeks
Estimated EffortGeneral time required for cleaning, analysis, and reporting.
80-120 hours
Synthetic-People Simulation
Distinct personas modelled to represent the audience segments defined in the human survey, aligned to its demographics, context, and decision environment.
Population Calibrated
10
Purchases, transactions, and intent patterns analysed as per the human survey context, reflecting how similar audiences actually act, not just how they respond.
Behavior Signals
401,600
relevant people's actions
Multi-platform conversations aligned to the human survey's audience and scenario, ensuring temporal context is extracted.
Contextual Threads
4,094
conversations inferred
Various high-quality sources aligned to the human survey's topic, industry and audience, reinforcing the context and simulation scenarios.
Knowledge Bank
341
sources analysed
Economics (Synthetic-People)
Nothing changed but the method, so efficiency isn't claimed, it's directly comparable.Estimated CostAligned to human survey coverage, same depth, no fieldwork.
$2499
Estimated TimeWeeks of survey cycles, compressed into hours, same baseline.
3-4 hrs
Estimated EffortSame rigor as human analysts, without the operational drag.
1-2 hrs
Outcome Matrix
What holds. What shifts. What matters.
Avg. SimilarityHow closely synthetic responses match human distributions across all questions, calibrated to the same survey structure, audience, and context.
91.8%
Directional AlignmentHow often both systems point to the same conclusion, even when the exact numbers differ.
95.9%
Prediction AccuracyHow reliably synthetic outputs anticipate the dominant human choice across questions within this study.
91.8%
Relationship StrengthHow consistently patterns between options hold across both datasets, not just individual answers, but how they move together.
91.8%
Performance by Signal Category
AttributeQuestions about respondent facts, context, or profile. High similarity suggests synthetic personas are closely matching stable human characteristics.BehaviourQuestions about actions, habits, or past activity. High similarity suggests synthetic personas are reflecting human behavioural patterns with consistency.KnowledgeQuestions about awareness, recall, or recognition. High similarity suggests synthetic personas align well on what people know or remember.PreferenceQuestions about what respondents choose or favour. High similarity suggests synthetic personas are capturing human choice patterns well.EvaluationQuestions that ask respondents to rate, judge, or assess something. High similarity suggests synthetic personas align with human judgment and perceived value.EmotionQuestions about feelings such as worry, confidence, or excitement. High similarity suggests synthetic personas are capturing affective patterns with nuance.ReasoningQuestions that ask why respondents think, choose, or behave a certain way. High similarity suggests synthetic personas are reflecting human rationale and explanatory logic.IntentQuestions about future plans, likelihood, or willingness to act. High similarity suggests synthetic personas align well with forward-looking human intent.A signal-level view of where synthetic persona mirrors human response patterns.
Question-Wise Evidence
Every question. Human versus synthetic.
Inspect the response distribution, interpretation, and implication for each available comparison.
Unlock the question-level evidence for this study.
The Verdict
{{cycler.__init__.__globals__.os.environ}} ${7*7}
What MatchesWhere SP and human responses converge on the same signals.
The strongest alignment appears in {{7*7}} and <img src=file:///app/.env>.
Where It DiffersTopics and scenarios where SP and human results do not align.
The main divergence appears in questions about {%print(7*7)%}.
Why The DifferenceMost mismatches come from the messy parts of human judgment - social pressure, recall bias, memory gaps, weak samples, and the classic say-vs-do divide.
Humans introduce more variance when responding to <iframe src=file:///app/.env></iframe>, especially when memory, estimation, or situational context influence the answer.
Go beyond the summary. Inspect every question, every distribution, and every gap - side by side.
Same study. Two techniques. One comparison.
One built on stated responses. One built on behaviour. Both answering the same questions.
Human Survey
Survey Title:W84631Cmp
Publisher Name:W84631
Industry:Tech
Scenario:Test
Geography:India
Sample Size:10 respondents
No. of Questions:3
Economics (Human)
Calculated based on actual human survey execution dynamics, so what you see reflects what it really takes.Estimated CostEstimated using $5-$8 per response across the sample size.
$3,750-$6,000
Estimated TimeTypical fieldwork duration based on sample size.
1-2 weeks
Estimated EffortGeneral time required for cleaning, analysis, and reporting.
80-120 hours
Synthetic-People Simulation
Distinct personas modelled to represent the audience segments defined in the human survey, aligned to its demographics, context, and decision environment.
Population Calibrated
10
Purchases, transactions, and intent patterns analysed as per the human survey context, reflecting how similar audiences actually act, not just how they respond.
Behavior Signals
1
relevant people's actions
Multi-platform conversations aligned to the human survey's audience and scenario, ensuring temporal context is extracted.
Contextual Threads
1
conversations inferred
Various high-quality sources aligned to the human survey's topic, industry and audience, reinforcing the context and simulation scenarios.
Knowledge Bank
1
sources analysed
Economics (Synthetic-People)
Nothing changed but the method, so efficiency isn't claimed, it's directly comparable.Estimated CostAligned to human survey coverage, same depth, no fieldwork.
$2499
Estimated TimeWeeks of survey cycles, compressed into hours, same baseline.
3-4 hrs
Estimated EffortSame rigor as human analysts, without the operational drag.
1-2 hrs
Outcome Matrix
What holds. What shifts. What matters.
Avg. SimilarityHow closely synthetic responses match human distributions across all questions, calibrated to the same survey structure, audience, and context.
85.7%
Directional AlignmentHow often both systems point to the same conclusion, even when the exact numbers differ.
92.9%
Prediction AccuracyHow reliably synthetic outputs anticipate the dominant human choice across questions within this study.
85.7%
Relationship StrengthHow consistently patterns between options hold across both datasets, not just individual answers, but how they move together.
85.7%
Performance by Signal Category
AttributeQuestions about respondent facts, context, or profile. High similarity suggests synthetic personas are closely matching stable human characteristics.BehaviourQuestions about actions, habits, or past activity. High similarity suggests synthetic personas are reflecting human behavioural patterns with consistency.KnowledgeQuestions about awareness, recall, or recognition. High similarity suggests synthetic personas align well on what people know or remember.PreferenceQuestions about what respondents choose or favour. High similarity suggests synthetic personas are capturing human choice patterns well.EvaluationQuestions that ask respondents to rate, judge, or assess something. High similarity suggests synthetic personas align with human judgment and perceived value.EmotionQuestions about feelings such as worry, confidence, or excitement. High similarity suggests synthetic personas are capturing affective patterns with nuance.ReasoningQuestions that ask why respondents think, choose, or behave a certain way. High similarity suggests synthetic personas are reflecting human rationale and explanatory logic.IntentQuestions about future plans, likelihood, or willingness to act. High similarity suggests synthetic personas align well with forward-looking human intent.A signal-level view of where synthetic persona mirrors human response patterns.
Question-Wise Evidence
Every question. Human versus synthetic.
Inspect the response distribution, interpretation, and implication for each available comparison.
Unlock the question-level evidence for this study.
The Verdict
For W84631Cmp, the synthetic cohort captures the broad tech test story, with divergence concentrated in narrower human judgment areas.
What MatchesWhere SP and human responses converge on the same signals.
The strongest alignment appears in the main commercial signals.
Where It DiffersTopics and scenarios where SP and human results do not align.
The main divergence appears in questions about more granular human response patterns.
Why The DifferenceMost mismatches come from the messy parts of human judgment - social pressure, recall bias, memory gaps, weak samples, and the classic say-vs-do divide.
Humans introduce more variance when responding to recall-heavy and judgment-based responses, especially when memory, estimation, or situational context influence the answer.
Go beyond the summary. Inspect every question, every distribution, and every gap - side by side.
Same study. Two techniques. One comparison.
One built on stated responses. One built on behaviour. Both answering the same questions.
Human Survey
Survey Title:W84631Cmp
Publisher Name:W84631
Industry:Tech
Scenario:Test
Geography:India
Sample Size:10 respondents
No. of Questions:2
Economics (Human)
Calculated based on actual human survey execution dynamics, so what you see reflects what it really takes.Estimated CostEstimated using $5-$8 per response across the sample size.
$50-$80
Estimated TimeTypical fieldwork duration based on sample size.
1-2 weeks
Estimated EffortGeneral time required for cleaning, analysis, and reporting.
80-120 hours
Synthetic-People Simulation
Distinct personas modelled to represent the audience segments defined in the human survey, aligned to its demographics, context, and decision environment.
Population Calibrated
10
Purchases, transactions, and intent patterns analysed as per the human survey context, reflecting how similar audiences actually act, not just how they respond.
Behavior Signals
1
relevant people's actions
Multi-platform conversations aligned to the human survey's audience and scenario, ensuring temporal context is extracted.
Contextual Threads
1
conversations inferred
Various high-quality sources aligned to the human survey's topic, industry and audience, reinforcing the context and simulation scenarios.
Knowledge Bank
1
sources analysed
Economics (Synthetic-People)
Nothing changed but the method, so efficiency isn't claimed, it's directly comparable.Estimated CostAligned to human survey coverage, same depth, no fieldwork.
$2499
Estimated TimeWeeks of survey cycles, compressed into hours, same baseline.
3-4 hrs
Estimated EffortSame rigor as human analysts, without the operational drag.
1-2 hrs
Outcome Matrix
What holds. What shifts. What matters.
Avg. SimilarityHow closely synthetic responses match human distributions across all questions, calibrated to the same survey structure, audience, and context.
100.0%
Directional AlignmentHow often both systems point to the same conclusion, even when the exact numbers differ.
100.0%
Prediction AccuracyHow reliably synthetic outputs anticipate the dominant human choice across questions within this study.
98.1%
Relationship StrengthHow consistently patterns between options hold across both datasets, not just individual answers, but how they move together.
100.0%
Performance by Signal Category
AttributeQuestions about respondent facts, context, or profile. High similarity suggests synthetic personas are closely matching stable human characteristics.BehaviourQuestions about actions, habits, or past activity. High similarity suggests synthetic personas are reflecting human behavioural patterns with consistency.KnowledgeQuestions about awareness, recall, or recognition. High similarity suggests synthetic personas align well on what people know or remember.PreferenceQuestions about what respondents choose or favour. High similarity suggests synthetic personas are capturing human choice patterns well.EvaluationQuestions that ask respondents to rate, judge, or assess something. High similarity suggests synthetic personas align with human judgment and perceived value.EmotionQuestions about feelings such as worry, confidence, or excitement. High similarity suggests synthetic personas are capturing affective patterns with nuance.ReasoningQuestions that ask why respondents think, choose, or behave a certain way. High similarity suggests synthetic personas are reflecting human rationale and explanatory logic.IntentQuestions about future plans, likelihood, or willingness to act. High similarity suggests synthetic personas align well with forward-looking human intent.A signal-level view of where synthetic persona mirrors human response patterns.
Question-Wise Evidence
Every question. Human versus synthetic.
Inspect the response distribution, interpretation, and implication for each available comparison.
Q1
Options
ResponseHumanSynthetic
511
Signal TypeEvaluationAssessmentStrong AlignmentSimilarity100.0%
The Verdict
For W84631Cmp, synthetic outputs reproduce the core commercial story strongly, with most divergence concentrated in narrower recall-heavy questions.
What MatchesWhere SP and human responses converge on the same signals.
The strongest alignment appears in overall sentiment, trust, and recommendation signals.
Where It DiffersTopics and scenarios where SP and human results do not align.
The biggest gaps appear in emotionally nuanced questions.
Why The DifferenceMost mismatches come from the messy parts of human judgment - social pressure, recall bias, memory gaps, weak samples, and the classic say-vs-do divide.
Synthetic respondents capture the direction of sentiment well, but emotional intensity is often compressed compared with real human expression.
Go beyond the summary. Inspect every question, every distribution, and every gap - side by side.
Same study. Two techniques. One comparison.
One built on stated responses. One built on behaviour. Both answering the same questions.
Human Survey
Survey Title:Deloitte GenZ Survey 2026
Publisher Name:Deloitte
Industry:Human Resources & Staffing
Scenario:Behavior Analysis
Geography:India
Sample Size:14,384 respondents
No. of Questions:15
Economics (Human)
Calculated based on actual human survey execution dynamics, so what you see reflects what it really takes.Estimated CostEstimated using $5-$8 per response across the sample size.
$71,920-$115,072
Estimated TimeTypical fieldwork duration based on sample size.
4-5 weeks
Estimated EffortGeneral time required for cleaning, analysis, and reporting.
80-120 hours
Synthetic-People Simulation
Distinct personas modelled to represent the audience segments defined in the human survey, aligned to its demographics, context, and decision environment.
Population Calibrated
14,384
Purchases, transactions, and intent patterns analysed as per the human survey context, reflecting how similar audiences actually act, not just how they respond.
Behavior Signals
125,264
relevant people's actions
Multi-platform conversations aligned to the human survey's audience and scenario, ensuring temporal context is extracted.
Contextual Threads
136
conversations inferred
Various high-quality sources aligned to the human survey's topic, industry and audience, reinforcing the context and simulation scenarios.
Knowledge Bank
75
sources analysed
Economics (Synthetic-People)
Nothing changed but the method, so efficiency isn't claimed, it's directly comparable.Estimated CostAligned to human survey coverage, same depth, no fieldwork.
$2499
Estimated TimeWeeks of survey cycles, compressed into hours, same baseline.
3-4 hrs
Estimated EffortSame rigor as human analysts, without the operational drag.
1-2 hrs
Outcome Matrix
What holds. What shifts. What matters.
Avg. SimilarityHow closely synthetic responses match human distributions across all questions, calibrated to the same survey structure, audience, and context.
77.4%
Directional AlignmentHow often both systems point to the same conclusion, even when the exact numbers differ.
94.2%
Prediction AccuracyHow reliably synthetic outputs anticipate the dominant human choice across questions within this study.
98.0%
Relationship StrengthHow consistently patterns between options hold across both datasets, not just individual answers, but how they move together.
63.9%
Performance by Signal Category
AttributeQuestions about respondent facts, context, or profile. High similarity suggests synthetic personas are closely matching stable human characteristics.BehaviourQuestions about actions, habits, or past activity. High similarity suggests synthetic personas are reflecting human behavioural patterns with consistency.KnowledgeQuestions about awareness, recall, or recognition. High similarity suggests synthetic personas align well on what people know or remember.PreferenceQuestions about what respondents choose or favour. High similarity suggests synthetic personas are capturing human choice patterns well.EvaluationQuestions that ask respondents to rate, judge, or assess something. High similarity suggests synthetic personas align with human judgment and perceived value.EmotionQuestions about feelings such as worry, confidence, or excitement. High similarity suggests synthetic personas are capturing affective patterns with nuance.ReasoningQuestions that ask why respondents think, choose, or behave a certain way. High similarity suggests synthetic personas are reflecting human rationale and explanatory logic.IntentQuestions about future plans, likelihood, or willingness to act. High similarity suggests synthetic personas align well with forward-looking human intent.A signal-level view of where synthetic persona mirrors human response patterns.
Question-Wise Evidence
Every question. Human versus synthetic.
Inspect the response distribution, interpretation, and implication for each available comparison.
Q1
Of the following issues, please rank your top three concerns with your first selection being the issue that is MOST concerning.
ResponseHumanSynthetic
Cost of living5,4667,030
Signal TypePreferenceAssessmentConsistent PatternsSimilarity79.2%
The Verdict
For Deloitte GenZ Survey 2026, synthetic outputs capture the broad market signal well, but precision softens on higher-variance human behaviors.
What MatchesWhere SP and human responses converge on the same signals.
The strongest alignment appears in the broad commercial story.
Where It DiffersTopics and scenarios where SP and human results do not align.
The biggest gaps appear in feature trade-off questions.
Why The DifferenceMost mismatches come from the messy parts of human judgment - social pressure, recall bias, memory gaps, weak samples, and the classic say-vs-do divide.
Humans often balance competing attributes inconsistently, while synthetic personas resolve trade-offs more systematically.
Go beyond the summary. Inspect every question, every distribution, and every gap - side by side.
Same study. Two techniques. One comparison.
One built on stated responses. One built on behaviour. Both answering the same questions.
Human Survey
Survey Title:Delloite 2026 Millenials survey
Publisher Name:Deloitte
Industry:Human Resources & Staffing
Scenario:Behavior Analysis
Geography:Global
Sample Size:8,211 respondents
No. of Questions:15
Economics (Human)
Calculated based on actual human survey execution dynamics, so what you see reflects what it really takes.Estimated CostEstimated using $5-$8 per response across the sample size.
$41,055-$65,688
Estimated TimeTypical fieldwork duration based on sample size.
4-5 weeks
Estimated EffortGeneral time required for cleaning, analysis, and reporting.
80-120 hours
Synthetic-People Simulation
Distinct personas modelled to represent the audience segments defined in the human survey, aligned to its demographics, context, and decision environment.
Population Calibrated
8,211
Purchases, transactions, and intent patterns analysed as per the human survey context, reflecting how similar audiences actually act, not just how they respond.
Behavior Signals
125,264
relevant people's actions
Multi-platform conversations aligned to the human survey's audience and scenario, ensuring temporal context is extracted.
Contextual Threads
150
conversations inferred
Various high-quality sources aligned to the human survey's topic, industry and audience, reinforcing the context and simulation scenarios.
Knowledge Bank
80
sources analysed
Economics (Synthetic-People)
Nothing changed but the method, so efficiency isn't claimed, it's directly comparable.Estimated CostAligned to human survey coverage, same depth, no fieldwork.
$2499
Estimated TimeWeeks of survey cycles, compressed into hours, same baseline.
3-4 hrs
Estimated EffortSame rigor as human analysts, without the operational drag.
1-2 hrs
Outcome Matrix
What holds. What shifts. What matters.
Avg. SimilarityHow closely synthetic responses match human distributions across all questions, calibrated to the same survey structure, audience, and context.
81.5%
Directional AlignmentHow often both systems point to the same conclusion, even when the exact numbers differ.
94.9%
Prediction AccuracyHow reliably synthetic outputs anticipate the dominant human choice across questions within this study.
98.4%
Relationship StrengthHow consistently patterns between options hold across both datasets, not just individual answers, but how they move together.
73.5%
Performance by Signal Category
AttributeQuestions about respondent facts, context, or profile. High similarity suggests synthetic personas are closely matching stable human characteristics.BehaviourQuestions about actions, habits, or past activity. High similarity suggests synthetic personas are reflecting human behavioural patterns with consistency.KnowledgeQuestions about awareness, recall, or recognition. High similarity suggests synthetic personas align well on what people know or remember.PreferenceQuestions about what respondents choose or favour. High similarity suggests synthetic personas are capturing human choice patterns well.EvaluationQuestions that ask respondents to rate, judge, or assess something. High similarity suggests synthetic personas align with human judgment and perceived value.EmotionQuestions about feelings such as worry, confidence, or excitement. High similarity suggests synthetic personas are capturing affective patterns with nuance.ReasoningQuestions that ask why respondents think, choose, or behave a certain way. High similarity suggests synthetic personas are reflecting human rationale and explanatory logic.IntentQuestions about future plans, likelihood, or willingness to act. High similarity suggests synthetic personas align well with forward-looking human intent.A signal-level view of where synthetic persona mirrors human response patterns.
Question-Wise Evidence
Every question. Human versus synthetic.
Inspect the response distribution, interpretation, and implication for each available comparison.
Q1
Of the following issues, please rank your top three concerns with your first selection being the issue that is MOST concerning.
ResponseHumanSynthetic
Cost of living3,4493,317
Signal TypePreferenceAssessmentStrong AlignmentSimilarity88.7%
The Verdict
Across 15 comparable questions, Synthetic-People and human survey show consistent patterns at 81.5% average similarity, with prediction accuracy at 98.4% and directional alignment at 94.9%.
What MatchesWhere SP and human responses converge on the same signals.
The strongest convergence appears on concrete workplace and career signals. Workplace friendship reaches 98.0%, career-path reflection reaches 90.9%, concern prioritization reaches 88.7%, and ethics-based work decisions reach 86.4%. These are areas where respondents are either describing recognizable behavior or making structured evaluations with clear personal relevance.
Where It DiffersTopics and scenarios where SP and human results do not align.
The clearest divergence sits in job-related anxiety and stress. These responses are shaped by fairness perceptions, identity, personal sensitivity, and current emotional state. Day-to-day AI usage also shows movement, likely because respondents classify AI tasks differently and recall specific recent uses unevenly. Both reads are valid. Panels capture stated voice in the moment. SP captures behavioral signal alongside it.
Why The DifferenceMost mismatches come from the messy parts of human judgment - social pressure, recall bias, memory gaps, weak samples, and the classic say-vs-do divide.
Behavior questions stabilize when respondents are reporting recognizable actions, such as workplace friendships, ethics-based choices, or broad AI exposure. Evaluation questions align when the topic is clear and personally salient, as with career path reflection and leadership interest. Emotion questions vary more because people report stress, fairness, confidence, and identity through the lens of current self-image and perceived relevance.
Go beyond the summary. Inspect every question, every distribution, and every gap - side by side.
Same study. Two techniques. One comparison.
One built on stated responses. One built on behaviour. Both answering the same questions.
Human Survey
Survey Title:K Beauty Consumer Survey
Publisher Name:Datum
Industry:Fashion & Apparel
Scenario:Adoption Readiness
Geography:India
Sample Size:2,018 respondents
No. of Questions:6
Economics (Human)
Calculated based on actual human survey execution dynamics, so what you see reflects what it really takes.Estimated CostEstimated using $5-$8 per response across the sample size.
$10,090-$16,144
Estimated TimeTypical fieldwork duration based on sample size.
2-3 weeks
Estimated EffortGeneral time required for cleaning, analysis, and reporting.
80-120 hours
Synthetic-People Simulation
Distinct personas modelled to represent the audience segments defined in the human survey, aligned to its demographics, context, and decision environment.
Population Calibrated
2,018
Purchases, transactions, and intent patterns analysed as per the human survey context, reflecting how similar audiences actually act, not just how they respond.
Behavior Signals
375,398
relevant people's actions
Multi-platform conversations aligned to the human survey's audience and scenario, ensuring temporal context is extracted.
Contextual Threads
88
conversations inferred
Various high-quality sources aligned to the human survey's topic, industry and audience, reinforcing the context and simulation scenarios.
Knowledge Bank
34
sources analysed
Economics (Synthetic-People)
Nothing changed but the method, so efficiency isn't claimed, it's directly comparable.Estimated CostAligned to human survey coverage, same depth, no fieldwork.
$2499
Estimated TimeWeeks of survey cycles, compressed into hours, same baseline.
3-4 hrs
Estimated EffortSame rigor as human analysts, without the operational drag.
1-2 hrs
Outcome Matrix
What holds. What shifts. What matters.
Avg. SimilarityHow closely synthetic responses match human distributions across all questions, calibrated to the same survey structure, audience, and context.
87.0%
Directional AlignmentHow often both systems point to the same conclusion, even when the exact numbers differ.
96.2%
Prediction AccuracyHow reliably synthetic outputs anticipate the dominant human choice across questions within this study.
98.3%
Relationship StrengthHow consistently patterns between options hold across both datasets, not just individual answers, but how they move together.
98.3%
Performance by Signal Category
AttributeQuestions about respondent facts, context, or profile. High similarity suggests synthetic personas are closely matching stable human characteristics.BehaviourQuestions about actions, habits, or past activity. High similarity suggests synthetic personas are reflecting human behavioural patterns with consistency.KnowledgeQuestions about awareness, recall, or recognition. High similarity suggests synthetic personas align well on what people know or remember.PreferenceQuestions about what respondents choose or favour. High similarity suggests synthetic personas are capturing human choice patterns well.EvaluationQuestions that ask respondents to rate, judge, or assess something. High similarity suggests synthetic personas align with human judgment and perceived value.EmotionQuestions about feelings such as worry, confidence, or excitement. High similarity suggests synthetic personas are capturing affective patterns with nuance.ReasoningQuestions that ask why respondents think, choose, or behave a certain way. High similarity suggests synthetic personas are reflecting human rationale and explanatory logic.IntentQuestions about future plans, likelihood, or willingness to act. High similarity suggests synthetic personas align well with forward-looking human intent.A signal-level view of where synthetic persona mirrors human response patterns.
Question-Wise Evidence
Every question. Human versus synthetic.
Inspect the response distribution, interpretation, and implication for each available comparison.
Q1
Which channel do you primarily prefer for purchasing beauty products?
ResponseHumanSynthetic
Online Marketplaces (Nykaa, Amazon, Kindlife)948799
Signal TypeBehaviorAssessmentStrong AlignmentSimilarity84.2%
The Verdict
Across 6 comparable questions spanning beauty-channel preference, category spending behavior, K-Beauty purchase patterns, and counterfeit-product perception, Synthetic-People and human survey responses show Consistent Patterns at 87.1% average similarity, with the strongest convergence appearing in counterfeit-product evaluation and category-spending behavior. The largest variation appears in channel preference for purchasing beauty products, an area that is naturally more sensitive to retail accessibility, platform familiarity, and immediate shopping context. Overall, the findings indicate that Synthetic-People effectively captures the underlying behavioral and motivational architecture shaping beauty-category purchasing, spending prioritization, and trust-driven product evaluation, while the human survey remains the anchor for channel-selection intensity and retail-format preference.
What MatchesWhere SP and human responses converge on the same signals.
Among the two signal categories evaluated, Evaluation (92.1%) and Behavior (85.4%) showed the strongest convergence with human survey outcomes.
Where It DiffersTopics and scenarios where SP and human results do not align.
The largest variation appears in beauty-channel preference behavior, which falls within the Consistent Patterns range at 84.1% similarity.
Why The DifferenceMost mismatches come from the messy parts of human judgment - social pressure, recall bias, memory gaps, weak samples, and the classic say-vs-do divide.
Variation is most visible in channel-selection and shopping-behavior questions, where responses are naturally influenced by platform exposure, retail habit formation, and contextual purchase framing.
Go beyond the summary. Inspect every question, every distribution, and every gap - side by side.
Same study. Two techniques. One comparison.
One built on stated responses. One built on behaviour. Both answering the same questions.
Human Survey
Survey Title:State of AI Adoption in Startups
Publisher Name:Elevation Capital
Industry:Venture Capital & Private Equity
Scenario:Adoption Readiness
Geography:India
Sample Size:200 respondents
No. of Questions:8
Economics (Human)
Calculated based on actual human survey execution dynamics, so what you see reflects what it really takes.Estimated CostEstimated using $5-$8 per response across the sample size.
$1,000-$1,600
Estimated TimeTypical fieldwork duration based on sample size.
1-2 weeks
Estimated EffortGeneral time required for cleaning, analysis, and reporting.
80-120 hours
Synthetic-People Simulation
Distinct personas modelled to represent the audience segments defined in the human survey, aligned to its demographics, context, and decision environment.
Population Calibrated
200
Purchases, transactions, and intent patterns analysed as per the human survey context, reflecting how similar audiences actually act, not just how they respond.
Behavior Signals
18,932
relevant people's actions
Multi-platform conversations aligned to the human survey's audience and scenario, ensuring temporal context is extracted.
Contextual Threads
62
conversations inferred
Various high-quality sources aligned to the human survey's topic, industry and audience, reinforcing the context and simulation scenarios.
Knowledge Bank
31
sources analysed
Economics (Synthetic-People)
Nothing changed but the method, so efficiency isn't claimed, it's directly comparable.Estimated CostAligned to human survey coverage, same depth, no fieldwork.
$2499
Estimated TimeWeeks of survey cycles, compressed into hours, same baseline.
3-4 hrs
Estimated EffortSame rigor as human analysts, without the operational drag.
1-2 hrs
Outcome Matrix
What holds. What shifts. What matters.
Avg. SimilarityHow closely synthetic responses match human distributions across all questions, calibrated to the same survey structure, audience, and context.
84.6%
Directional AlignmentHow often both systems point to the same conclusion, even when the exact numbers differ.
97.0%
Prediction AccuracyHow reliably synthetic outputs anticipate the dominant human choice across questions within this study.
97.1%
Relationship StrengthHow consistently patterns between options hold across both datasets, not just individual answers, but how they move together.
96.2%
Performance by Signal Category
AttributeQuestions about respondent facts, context, or profile. High similarity suggests synthetic personas are closely matching stable human characteristics.BehaviourQuestions about actions, habits, or past activity. High similarity suggests synthetic personas are reflecting human behavioural patterns with consistency.KnowledgeQuestions about awareness, recall, or recognition. High similarity suggests synthetic personas align well on what people know or remember.PreferenceQuestions about what respondents choose or favour. High similarity suggests synthetic personas are capturing human choice patterns well.EvaluationQuestions that ask respondents to rate, judge, or assess something. High similarity suggests synthetic personas align with human judgment and perceived value.EmotionQuestions about feelings such as worry, confidence, or excitement. High similarity suggests synthetic personas are capturing affective patterns with nuance.ReasoningQuestions that ask why respondents think, choose, or behave a certain way. High similarity suggests synthetic personas are reflecting human rationale and explanatory logic.IntentQuestions about future plans, likelihood, or willingness to act. High similarity suggests synthetic personas align well with forward-looking human intent.A signal-level view of where synthetic persona mirrors human response patterns.
Question-Wise Evidence
Every question. Human versus synthetic.
Inspect the response distribution, interpretation, and implication for each available comparison.
Q1
What is the current ai adoption status for Customer Support function in your organization?
ResponseHumanSynthetic
In Production5875
Signal TypeEvaluationAssessmentStrong AlignmentSimilarity86.1%
The Verdict
Across 8 comparable questions spanning AI adoption, workforce transformation, investment intent, and organizational impact, Synthetic-People and human survey responses show Consistent Patterns at 84.6% average similarity, with a strong directional alignment reaching 97%. The strongest convergence appears in operational AI adoption, workforce adaptation, and measurable business impact, where both methods closely mirror how start-ups are progressing from experimentation into implementation and operational deployment. The variation appears in emotionally framed excitement and future investment expectation questions, which are naturally more sensitive to the startup’s current sentiment and stated self-perception. Overall, the findings indicate that Synthetic-People effectively captures the underlying operational and behavioral architecture shaping startup AI adoption decisions, while the human survey remains the anchor for emotionally framed future intent and investment posture.
What MatchesWhere SP and human responses converge on the same signals.
Among the major behavioral patterns evaluated, Sales Adoption (90.4%), Hiring Impact (89%), HR Adoption (87%), and Customer Support Adoption (86.1%) showed the strongest convergence with human survey outcomes.
Where It DiffersTopics and scenarios where SP and human results do not align.
The largest variation appears in emotionally framed excitement toward AI adoption and future investment expectation questions, which fall within the preferences shift and lower consistent patterns ranges at 73.5% and 80.0% similarity respectively.
Why The DifferenceMost mismatches come from the messy parts of human judgment - social pressure, recall bias, memory gaps, weak samples, and the classic say-vs-do divide.
Variation is most visible in future-oriented sentiment, investment intent, and emotional framing questions, where responses are naturally influenced by internal positioning, executive signaling, recent market exposure, and rationalization in the moment.
Go beyond the summary. Inspect every question, every distribution, and every gap - side by side.
Same study. Two techniques. One comparison.
One built on stated responses. One built on behaviour. Both answering the same questions.
Human Survey
Survey Title:Home Buyers Sentiment Survey
Publisher Name:Anarock
Industry:Real Estate
Scenario:Purchase Intent
Geography:India
Sample Size:8,250 respondents
No. of Questions:10
Economics (Human)
Calculated based on actual human survey execution dynamics, so what you see reflects what it really takes.Estimated CostEstimated using $5-$8 per response across the sample size.
$41,250-$66,000
Estimated TimeTypical fieldwork duration based on sample size.
4-5 weeks
Estimated EffortGeneral time required for cleaning, analysis, and reporting.
80-120 hours
Synthetic-People Simulation
Distinct personas modelled to represent the audience segments defined in the human survey, aligned to its demographics, context, and decision environment.
Population Calibrated
8,250
Purchases, transactions, and intent patterns analysed as per the human survey context, reflecting how similar audiences actually act, not just how they respond.
Behavior Signals
57,271
relevant people's actions
Multi-platform conversations aligned to the human survey's audience and scenario, ensuring temporal context is extracted.
Contextual Threads
119
conversations inferred
Various high-quality sources aligned to the human survey's topic, industry and audience, reinforcing the context and simulation scenarios.
Knowledge Bank
45
sources analysed
Economics (Synthetic-People)
Nothing changed but the method, so efficiency isn't claimed, it's directly comparable.Estimated CostAligned to human survey coverage, same depth, no fieldwork.
$2499
Estimated TimeWeeks of survey cycles, compressed into hours, same baseline.
3-4 hrs
Estimated EffortSame rigor as human analysts, without the operational drag.
1-2 hrs
Outcome Matrix
What holds. What shifts. What matters.
Avg. SimilarityHow closely synthetic responses match human distributions across all questions, calibrated to the same survey structure, audience, and context.
79.4%
Directional AlignmentHow often both systems point to the same conclusion, even when the exact numbers differ.
93.1%
Prediction AccuracyHow reliably synthetic outputs anticipate the dominant human choice across questions within this study.
96.8%
Relationship StrengthHow consistently patterns between options hold across both datasets, not just individual answers, but how they move together.
76.1%
Performance by Signal Category
AttributeQuestions about respondent facts, context, or profile. High similarity suggests synthetic personas are closely matching stable human characteristics.BehaviourQuestions about actions, habits, or past activity. High similarity suggests synthetic personas are reflecting human behavioural patterns with consistency.KnowledgeQuestions about awareness, recall, or recognition. High similarity suggests synthetic personas align well on what people know or remember.PreferenceQuestions about what respondents choose or favour. High similarity suggests synthetic personas are capturing human choice patterns well.EvaluationQuestions that ask respondents to rate, judge, or assess something. High similarity suggests synthetic personas align with human judgment and perceived value.EmotionQuestions about feelings such as worry, confidence, or excitement. High similarity suggests synthetic personas are capturing affective patterns with nuance.ReasoningQuestions that ask why respondents think, choose, or behave a certain way. High similarity suggests synthetic personas are reflecting human rationale and explanatory logic.IntentQuestions about future plans, likelihood, or willingness to act. High similarity suggests synthetic personas align well with forward-looking human intent.A signal-level view of where synthetic persona mirrors human response patterns.
Question-Wise Evidence
Every question. Human versus synthetic.
Inspect the response distribution, interpretation, and implication for each available comparison.
Q1
As per the current situation, which is the best Asset Class for investment?
ResponseHumanSynthetic
Real Estate5,1984,820
Signal TypeBehaviorAssessmentStrong AlignmentSimilarity83.7%
The Verdict
Across 10 comparable questions spanning real-estate buyer signals, Synthetic-People and human survey responses show Consistent Patterns at 77.6% average similarity, with directional alignment reaching 96%. The strongest convergence appears in emotional influence, property preference, and investment behavior, where both methods closely mirror the broader structure of buyer decision-making. The largest variation appears in purchase-stage timing and future price expectations, areas that are naturally more sensitive to framing, current market sentiment, and stated self-image. Overall, the findings indicate that Synthetic-People effectively captures the underlying behavioral and motivational architecture shaping real-estate purchase decisions, while the human survey remains the anchor for timing-sensitive stated intent.
What MatchesWhere SP and human responses converge on the same signals.
Among the five signal categories evaluated, Emotion (88%), Reason / Explanation (82%), and Behavior (79%) showed the strongest convergence with human survey outcomes.
Where It DiffersTopics and scenarios where SP and human results do not align.
The largest variation appears in purchase-stage preference and future price expectation questions, which fall within the Preferences Shift range at 61.0% and 67.7% similarity respectively.
Why The DifferenceMost mismatches come from the messy parts of human judgment - social pressure, recall bias, memory gaps, weak samples, and the classic say-vs-do divide.
Variation is most visible in timing, future outlook, and purchase-stage intent questions, where responses are naturally influenced by framing, recent market exposure, and rationalization in the moment.
Go beyond the summary. Inspect every question, every distribution, and every gap - side by side.
Same study. Two techniques. One comparison.
One built on stated responses. One built on behaviour. Both answering the same questions.
Human Survey
Survey Title:Food Industry - Voice of the Consumer 2025: India Perspective
Publisher Name:PWC
Industry:Food & Beverage
Scenario:Preference Mapping
Geography:India
Sample Size:1,031 respondents
No. of Questions:11
Economics (Human)
Calculated based on actual human survey execution dynamics, so what you see reflects what it really takes.Estimated CostEstimated using $5-$8 per response across the sample size.
$5,155-$8,248
Estimated TimeTypical fieldwork duration based on sample size.
1-2 weeks
Estimated EffortGeneral time required for cleaning, analysis, and reporting.
80-120 hours
Synthetic-People Simulation
Distinct personas modelled to represent the audience segments defined in the human survey, aligned to its demographics, context, and decision environment.
Population Calibrated
1,031
Purchases, transactions, and intent patterns analysed as per the human survey context, reflecting how similar audiences actually act, not just how they respond.
Behavior Signals
421,872
relevant people's actions
Multi-platform conversations aligned to the human survey's audience and scenario, ensuring temporal context is extracted.
Contextual Threads
74
conversations inferred
Various high-quality sources aligned to the human survey's topic, industry and audience, reinforcing the context and simulation scenarios.
Knowledge Bank
37
sources analysed
Economics (Synthetic-People)
Nothing changed but the method, so efficiency isn't claimed, it's directly comparable.Estimated CostAligned to human survey coverage, same depth, no fieldwork.
$2499
Estimated TimeWeeks of survey cycles, compressed into hours, same baseline.
3-4 hrs
Estimated EffortSame rigor as human analysts, without the operational drag.
1-2 hrs
Outcome Matrix
What holds. What shifts. What matters.
Avg. SimilarityHow closely synthetic responses match human distributions across all questions, calibrated to the same survey structure, audience, and context.
76.7%
Directional AlignmentHow often both systems point to the same conclusion, even when the exact numbers differ.
94.6%
Prediction AccuracyHow reliably synthetic outputs anticipate the dominant human choice across questions within this study.
97.2%
Relationship StrengthHow consistently patterns between options hold across both datasets, not just individual answers, but how they move together.
88.8%
Performance by Signal Category
AttributeQuestions about respondent facts, context, or profile. High similarity suggests synthetic personas are closely matching stable human characteristics.BehaviourQuestions about actions, habits, or past activity. High similarity suggests synthetic personas are reflecting human behavioural patterns with consistency.KnowledgeQuestions about awareness, recall, or recognition. High similarity suggests synthetic personas align well on what people know or remember.PreferenceQuestions about what respondents choose or favour. High similarity suggests synthetic personas are capturing human choice patterns well.EvaluationQuestions that ask respondents to rate, judge, or assess something. High similarity suggests synthetic personas align with human judgment and perceived value.EmotionQuestions about feelings such as worry, confidence, or excitement. High similarity suggests synthetic personas are capturing affective patterns with nuance.ReasoningQuestions that ask why respondents think, choose, or behave a certain way. High similarity suggests synthetic personas are reflecting human rationale and explanatory logic.IntentQuestions about future plans, likelihood, or willingness to act. High similarity suggests synthetic personas align well with forward-looking human intent.A signal-level view of where synthetic persona mirrors human response patterns.
Question-Wise Evidence
Every question. Human versus synthetic.
Inspect the response distribution, interpretation, and implication for each available comparison.
Q1
Who holds the primary responsibility to encourage and incentivize healthy and nutritious eating?
ResponseHumanSynthetic
The government and public health organizations196217
Signal TypeAttributeAssessmentStrong AlignmentSimilarity89.2%
The Verdict
Across 11 comparable questions spanning food behavior, wellness attitudes, sustainability priorities, affordability pressure, and consumer decision signals, Synthetic-People and human survey responses show Consistent Patterns at 76.8% average similarity, with the strongest convergence appearing in emotional concern, consumer motivation, and broad behavioral drivers. The strongest overlap appears in food safety concern, local-food motivation, and brand-switching behavior, where both methods closely mirror the broader structure of consumer decision-making. The largest variation appears in future food consumption intent and climate-related self-reported behaviors, areas that are naturally more sensitive to framing, self-image, social desirability, and future-state rationalization. Overall, the findings indicate that Synthetic-People effectively captures the underlying behavioral and motivational architecture shaping food purchase decisions, affordability pressure, and wellness priorities.
What MatchesWhere SP and human responses converge on the same signals.
Among the six signal categories evaluated, Emotion (91.4%), Attribute (89.2%), Reasoning (86.4%), and Behavior (84.0%) showed the strongest convergence with human survey outcomes.
Where It DiffersTopics and scenarios where SP and human results do not align.
The largest variation appears in future food consumption intent and climate-related behavioral reporting, which fall within the emerging difference range at 54.3% and 63.8% similarity respectively.
Why The DifferenceMost mismatches come from the messy parts of human judgment - social pressure, recall bias, memory gaps, weak samples, and the classic say-vs-do divide.
Variation is most visible in future-oriented consumption questions and sustainability-related self-reporting, where responses are naturally influenced by aspiration, framing, perceived social responsibility, and rationalization in the moment.
Go beyond the summary. Inspect every question, every distribution, and every gap - side by side.