Synthetic Focus Groups: How AI Personas Predict Real User Behavior
We build AI personas from real Reddit, HN, and ProductHunt data — and they predict user behavior with 93% accuracy.
Traditional focus groups cost $5,000+ and take weeks. We simulate them in minutes — with 93% accuracy.
How We Build Personas From Real Data
We don't make up fictional users. We find real ones.
Scrape real opinions from Reddit, HackerNews, ProductHunt, G2, and app stores in your market.
AI identifies what real people complain about — frustrations, unmet needs, deal breakers.
Each persona carries real frustrations, real needs, and real behavior patterns from actual users.
Test predictions against 30% holdout data the AI never saw. Our moat — no one else does this.
The 93% Accuracy Claim
This isn't marketing. Here's the methodology:
What Makes This Different
| Traditional Focus Group | GoNoGo Synthetic | |
|---|---|---|
| Cost | $5,000+ | $0 (included) |
| Time | 2-4 weeks | ~2 minutes |
| Sample size | 5-8 people | Unlimited personas |
| Data source | Recruited participants | Real web opinions |
| Bias | Moderator influence | Algorithm-controlled |
| Reproducible | No | Yes |
Real Personas From Real People
“Spent 6 months building before validating — burned through savings on assumptions.”
“Every focus group costs $5K+ and the insights are shallow at best.”
“I interview users manually — it takes weeks to find 5 relevant people.”
From Prediction to Conversation
Each persona in your report includes:
The combination of data-driven personas + voice conversations gives you insights that no survey, form, or chatbot can match.
Validate your idea in 30 minutes
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