Background

Turn static personas into live conversations

Catch weak signals early. Arrive to real interviews with sharper questions. Save hours in discovery by stress testing your assumptions with AI-powered persona chats.
Start for free
Early access ends June 15
Early access ends June 15
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Backed by
Stanford Research
Laurel Leaf
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Product discovery today is slow, costly, and narrow.

calendar on fire
Getting answers takes weeks.
cash on fire
Validating ideas costs hundreds of dollars.
code on fire
Feedback arrives after work is planned.
This leak is killing your velocity.
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Make every product discovery cycle 10× faster.

SHIP FASTER
3 weeks → 30 minsSpin up personas and get answers the same day you have the idea.
EXPAND COVERAGE
4× more insightsInterview every persona variant, not just the one you could book.
SLASH SPEND
‑80% costNo recruiting fees, no gift cards—unlimited chats in early access.
The early bird gets the worm

Free Early Access Ends June 15th!

Claim your free spot now to lock in early access benefits and help shape the future of your product discovery.Claim Your Free Access

Build AI personas in minutes. Interview them on demand.

Built on proven frameworks and trained on your product, PersonaChat gives you lifelike personas that answer like real customers.
01

Pick a framework

Generate personas using proven frameworks like Jobs-to-be-Done or Empathy Mapping — or start from scratch. You can also import personas your team is already using.
Pick a framework
Generate personas using proven frameworks like Jobs-to-be-Done or Empathy Mapping — or start from scratch. You can also import personas your team is already using.
02

Add context

Tell PersonaChat about your product and use cases. Personas are trained on this context — so when you start chatting, it feels like talking to someone who's actually used your product.
Add context
Tell PersonaChat about your product and use cases. Personas are trained on this context — so when you start chatting, it feels like talking to someone who's actually used your product.
03

Chat & iterate

Ask questions, pressure-test assumptions, and explore your user's mindset — anytime. Use it to rehearse interviews, validate flows, or generate insights before you build.
Chat & iterate
Ask questions, pressure-test assumptions, and explore your user's mindset — anytime. Use it to rehearse interviews, validate flows, or generate insights before you build.
Start for free

How teams use PersonaChat

Product and UX Research teams use PersonaChat to clarify ideas, test flows, and rehearse interviews — so you're never starting from scratch.

Built for the people who turn ideas into products

Whether you own the roadmap, the wireframes, or the go-to-market story, PersonaChat gives you on-demand persona conversations that remove guesswork and unblock decisions.
Move faster — insights in minutes, not calendar weeks.
Reduce risk — catch usability blockers before code is merged.
Scale learning — every teammate can ask, listen, and iterate.
PRODUCT MANAGERS

Prioritize with proof

Pressure-test feature ideas and size impact before you commit sprint points.

DESIGNERS

Design friction-free flows

Validate copy, layouts, and prototypes—then ship with zero 'oops' moments.

RESEARCHERS

Multiply your bandwidth

Dry-run guides, surface blind spots, and keep live sessions laser-focused.

FOUNDERS & EXECS

Stress-test your story

Validate pitch, pricing, and positioning in minutes—not board cycles.

Synthetic personas match real user insights

In a study of 1,000 AI personas based on real interviews, researchers found that simulated users answered with 85% the accuracy of the real people they represented. That's the same accuracy participants had when retaking surveys two weeks later — meaning the personas were as consistent as real humans.

Key findings

  • 85% accuracy in predicting responses to the General Social Survey — on par with how consistently people answer the same questions themselves two weeks later.
  • 80% accuracy in predicting Big Five personality traits.
  • Agents replicated 4 out of 5 behavioural experiments just like human participants did.
  • The study also found that interview-based AI personas were more accurate and less biased than agents built from demographics or generic personas.
Generative agents replicated participants' responses on the General Social Survey 85% as accurately as participants replicated their own answers two weeks later.
— Park et al., 2024
Study citation

Generative Agent Simulations of 1,000 People
Stanford University, 2024

Read the paper →

Frequently Asked Questions

Each persona is trained on your product context plus behavioral frameworks like JTBD. They generate answers that mirror patterns in your data, but they're still a simulation, not a crystal ball. Treat them as a fast first pass, then validate critical findings with live users.

Start testing your assumptions today

Create your first persona and start chatting in minutes. No credit card required.Start for free
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