Know if it works before you build it.
Ask Claude to test your Figma prototype. Prefigure builds a population of AI users modeled on your audience, lets them use it for a simulated week, and brings the metrics — with a fix list — back into the chat.
Validating one idea used to take a quarter. Now it takes an afternoon.
It runs on the prototype you already have. Nothing to build, deploy or instrument.
The population is generated to match your audience. No screeners, no no-shows, no gift cards.
Seven days of coming back — or not — simulated in minutes.
Skip the three slowest parts of user research.
Your AI already has the file.
Connect Prefigure to Claude once. Ask it to test a prototype and it opens your Figma file with your own access — every screen, and where every tap leads — then checks what it read with you before a single person runs.
- Figma prototypes, the app you are building with Claude Code, or a live site
- Buttons that do nothing are kept: they are unmet expectations
- Nothing to export, no public link, no token — and nothing in your file is changed
People like your users. None recruited.
Describe who it is for. Prefigure samples a population across the ways those people actually differ — how skeptical, how rushed, what they use today — instead of 500 copies of one persona.
- The split is decided in code first, then each person is written
- Every person keeps the segment they came from
- Meet all 500 before you spend a minute of simulation
Your metrics, and A/B, in an hour.
Define what success means — reach a screen, tap a button, pass a funnel, come back on day 7. Then A/B two versions with the same people and the same luck, so the only difference is the product.
- Any metric built from what people did, with a confidence interval
- Paired A/B: a winner, or an honest “too close to call”
- Week-long retention counted from behaviour, never asked for
One report. Where they left, why, and what to fix first.
Before a single chart: what is going wrong and how big it is.
Every drop comes with the reason and the words of the people who left.
Ordered by what it costs you to ignore — each one re-runnable.
Simulated — and honest about it.
No model writes a number. Every metric is counted from what the population actually did, one tap at a time.
Where people left: high. Whether they would pay: low. The report says which is which, on the number itself.
Connect your analytics and Prefigure tunes the population to behave like the people you already have.
Questions founders ask first.
No. A clickable Figma prototype is enough — the same one you would show a colleague. If you are building with Claude Code, it can hand over the app instead.
Claude today — Claude desktop, claude.ai and Claude Code. Add one address and ask in plain words. ChatGPT is next.
Claude reads it with your own Figma access and sends Prefigure only what the study needs: the screen images, their text and where each tap leads. Nothing in your file is changed. Images are kept for 30 days, and you can ask Claude to delete a study at any time.
Feedback is an opinion about a description. Prefigure puts 500 people through your actual screens, one tap at a time, and counts what they do. What they say comes attached to where they were when they said it.
Trust the direction and the size of a gap. Every metric carries its own confidence, and behaviour is counted, never generated. Run version A, change one thing, run version B — the difference is the finding.
Watching the sample is free, and every connection runs three studies a month for free. Pro — no monthly limit, 30-day retention and A/B on every study — is in early access.
Find out tonight.
Ask Claude. Have a report before you would have finished writing the recruiting email.