Simulated audience research

Ask simulated audiences first.

AI-native decision research with cited market evidence, simulated audiences, structured interviews, and explicit uncertainty.

link · idea · prd · question
start free · no credit card required · 1,000 credits on signup
Why it's different

A panel you can question and audit.

Crowdproof connects simulated audience reactions, structured interviews, cited market context, and uncertainty in one inspectable research record.

Interview them

simulated
MR
Miguel ReyesSkeptics
41 · Toronto ON · UX lead · agent #112,406

“The pricing page buried the per-seat math. I closed the tab there.”

What would change your mind?
“A calculator with my headcount, and the overage policy in plain words.”

Illustrative simulation example · invented persona and responses

Trace the evidence

auditable
Illustrative simulation example · evidence map · cited sources

Follow a finding back to its simulated respondents, segment differences, interview evidence, and cited market sources.

provenance labels · transcripts · citations · uncertainty
study typesFlagship launch simulationMessage testPricing studyMarket scanConcept screen
How it works

From research brief to decision report.

Follow the research process from cited market evidence and simulated interviews to the decision report.

01

Ask

Type a question or paste a link, idea, or PRD. Crowdproof researches the market context, frames the decision, and briefs the simulated society.

02

Simulate

Review the proposed audience scope and supported filters before approving the study. Demographic values and scenario assumptions carry separate provenance labels.

03

Observe & interview

Agents react through simulated social channels, answer structured surveys, and join stratified simulated interviews.

04

Decide

Inspect the decision report, cited evidence, simulated interview analysis, and any propagation scenarios relevant to your question.

Illustrative simulation example

simulated
Research market evidence
cited public sources
Build approved audience
supported filters · labeled assumptions
Simulate diffusion
72 sim-hours · 6 channels
Run simulated interviews
structured by segment
Interview cohorts
illustrative audience segments
Build funnel report
P10–P90 model variation

Invented example · not a live run or measured market result

The output

A funnel, not a vibe.

Reach → engaged → tried → retained: a count of simulated people at every stage, the drops between stages with ranked reasons, and uncertainty shown directly on the chart.

Illustrative simulation example · pricing page v2 · 72 sim-hoursP10–P90 across 9 seeds
h0h24h48h72−156K · −38%never engaged: one mention, no second touch−116K · −45%skeptics exit at the per-seat pricing table−66K · −47%no clear win inside the first sessionREACH412K± 18KENGAGED256K± 14KTRIED140K± 11KRETAINED74K± 9K · 18.0% of reach
reach
412K± 18K
−156K · −38%never engaged: one mention, no second touch
engaged
256K± 14K
−116K · −45%skeptics exit at the per-seat pricing table
tried
140K± 11K
−66K · −47%no clear win inside the first session
retained
74K± 9K
h0 → h72 · retained = 18.0% of reach
Invented example figures · modeled outcome spread · not observed customer behavior or a validated prediction
Methodology & honesty

Simulated evidence, labeled as such.

Every artifact carries its provenance. simulated for interviews, surveys, and modeled outcomes; cited sources for external evidence. Nothing here pretends to be a human.

societyAudience scope follows the approved countries and segments. Sampling uses the source's supported filters. Provider-returned values, derived attributes, and assigned scenario assumptions are labeled separately.
evidenceMarket claims link to public sources for inspection. A citation does not certify source quality or applicability. Simulated responses and derived findings remain clearly labeled.
interviewsSegment-based simulated interviews produce cross-interview analysis. Detailed conversations remain available in the interview workspace.
seeds & rangesPropagation scenarios report P10–P90 ranges across multiple simulation seeds. These show variation within the model's assumptions, not validated confidence intervals for real-market outcomes.
Read the methodology →simulation scenarios · explicit limitations
Illustrative simulation example · retained % · 9 seeds
10%18%26%

reported: 18.0% (P10 14.2 – P90 22.4)

Pricing

Meter by depth, not by seats.

Choosing the wrong audience, price, or message can mean rebuilding work, spending budget on the wrong launch, and delaying revenue. Examine your assumptions before committing budget; simulated findings still need validation with real customers.

What does a study cost?

Budget around 200 credits for a standard study. Actual usage varies with research depth, input length, and follow-up work. Credits track model usage, rather than a fixed price per study.

Start free with 1,000 credits on signup, with no credit card required. That is a planning budget for about five standard studies, not a guaranteed number of studies.

market evidence · cited→+ simulated audience · modeled→+ interviews · structured→+ decision report · actionable

Traditional research

$20k–$60k/study
4–8 weeks per study

The manual route, through an agency or DIY: recruiting, panels, moderation, synthesis.

·Audience survey $6k–$15k
·Eight 1:1 interviews $4k–$12k
·Any iteration starts the clock again
for comparison only
Most common

Starter

$19/mo
1,500 credits / mo

For one researcher or PM validating a roadmap.

·Cited market research
·Simulated interviews
·Decision reports
Start Starter

Pro

$49/mo
4,500 credits / mo

For continuous, deeper testing.

·Deeper research runs
·Audience segmentation
·Continued follow-up
Start Pro

Business

$199/mo
22,500 credits / mo

For teams running continuous decision research.

·High-volume research
·Scenario analysis
·Priority capacity
Start Business

traditional range = typical published U.S. agency & panel rates, shown for comparison only · simulated outputs are not guaranteed market outcomes · review each report’s assumptions and limitations

FAQ

Questions, answered plainly.

Crowdproof produces assumption-bound simulations for comparing options, not validated predictions of real-market outcomes. No public calibration report is linked on this site. Use the cited evidence and stated limitations to judge each result, then compare the recommendation with observed business outcomes.

Crowdproof combines cited public market evidence with explicitly simulated audience research, structured simulated interviews, and scenario analysis. The report keeps those evidence classes separate. A source link lets you inspect the original evidence; it does not certify its accuracy, freshness, or relevance to your market.

No. Crowdproof replaces participant recruitment and conventional interviews with a modeled audience, so teams can make product, pricing, positioning, and promotion decisions in one workflow. Interviews are explicitly labeled simulated, and detailed conversations remain available in the interview workspace.

Study time depends on the question, research depth, evidence availability, and model execution. Crowdproof shows progress from actual completed work rather than promising a fixed completion time.

You receive 1,000 credits on signup, with no credit card required. Your signup grant counts as your first week's free allowance. In later weeks, your total balance is topped up to 1,000 credits if it is below that amount. For example, a 400-credit balance receives 600 credits; a balance of 1,000 or more receives no top-up. The free allowance does not stack each week.

Budget around 200 credits for a standard study. This is a planning estimate, not a fixed price or a cap. Your 1,000 signup credits provide a budget for about five standard studies, not a guaranteed number. Actual usage is metered by input and output model tokens, rounded up when usage is settled; cached reads are not charged. Deeper research, longer inputs, and follow-up work can use more credits.

Crowdproof provides conversation deletion and isolates tenant research data. Consult the current privacy policy for the exact retention, subprocessors, model-training, backup, and deletion boundaries.

A wide simulation range signals sensitivity to the model's assumptions. It is not a validated confidence interval for real-market outcomes. Inspect the evidence and assumptions behind the recommendation, then use a measured pilot or observed business results to decide whether to proceed or adjust.