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TEST THE FUTURETEST THE FUTURETEST THE FUTURE
Build a real-world twin panel—run experiments before you ship. WorldClone simulates segment-level reactions at scale, then turns natural language feedback into decision-ready signals.
The Problem
Why traditional market research is broken
User research is slow & expensive
Recruiting participants, scheduling interviews, and analyzing results takes weeks. By the time you have answers, the market has moved on.
LLM responses have low variance
Ask ChatGPT and you get mean-regression answers. Diverse opinions, extreme preferences, and edge cases are flattened out.
Increase variance to find real insights
By injecting thousands of diverse personas and analyzing statistically, you can uncover minority opinions and hidden patterns buried in the average.
Why Now?
LLMs are powerful enough to embody detailed personas. WorldClone combines thousands of persona presets with statistical analysis to solve the low-variance problem and extract real insights.
What is WorldClone?
Three core modules connected in one pipeline
Cohorts
Hyper-Diverse Persona Library
Combine thousands of persona presets to solve the low-variance problem of LLMs. Minority opinions, extreme preferences, and edge cases are all represented.
- Thousands of persona presets available
- Random combination of age, job, personality, values
- Sampled to match real population distribution
- Increased variance to uncover hidden insights
Console
Scenario Execution Engine
Run concept tests, pricing surveys, and onboarding simulations in batch across your AI panel. Collect thousands of natural language responses in hours.
- Concept, pricing, onboarding & review tests
- Batch execution across thousands of personas
- Segment-specific question adaptation
- Results collected within 2 hours
Signals
Natural Language → Decision Metrics
Transform thousands of qualitative responses into quantitative insights. Get opinion clustering, sentiment scoring, top objections/motivations, and actionable recommendations.
- Top objections & purchase motivations
- Segment-level reaction analysis
- Feature priority ranking (Impact × Frequency)
- 3 actionable recommendations
How It Works
From question to decision, in 2 hours
Define Target Market
Select country, demographics, and segments. e.g., "US, 25-35, startup employees, $80K+ income"
Generate AI Panel
Combine thousands of persona presets with diverse backgrounds, personalities, and values to create a panel that mirrors real population distribution.
Batch Execute Scenarios
Run questions like "Would you use this service?" across thousands of personas simultaneously.
Insights & Recommendations
Get quantified top objections, motivations, and segment differences. Receive 3 actionable recommendations.
Built-in Validation
Because 'AI said so' isn't good enough
WorldClone is designed for skeptics. Every output includes validation metrics so you know when to trust the signals—and when to get more data.
Representativeness Score
How closely does your generated panel match target demographic distributions? We measure and report the fit.
Consistency Score
Same persona, same question, same answer. We test for logical coherence and flag when personas contradict themselves.
Backtest Report
Compare synthetic predictions against historical real-world outcomes. See directional accuracy before you trust new predictions.
Human Calibration Pack
For maximum confidence, we offer optional human validation: run the same survey with 10-30 real respondents and get a bias/error report comparing synthetic vs. real.
Use Cases
Who uses WorldClone and how
Product Managers
Prioritize features based on simulated user demand. Identify onboarding friction before it hits real users.
Growth Teams
Test messaging resonance across segments. Predict which value props will convert before spending ad budget.
UX Researchers
Draft interview guides informed by synthetic insights. Identify segment contrasts before real interviews.
Brand Teams
Test positioning and copy across personas. Discover conflicting perceptions before launch.
Ready to test the future?
Join forward-thinking teams using WorldClone to de-risk product decisions.
A note on ethics
- We simulate distributions, not individuals
- Synthetic results are decision support—always validate critical decisions
- All outputs are labeled as synthetic data