Survey the whole city, run a focus group, or concept-test copy and pricing on thousands of Census-grounded synthetic users — answers broken down by cohort, in minutes. No agent required.
Ask one question — or a structured set — across the entire audience, or any cohort of it. A thousand Census-grounded synthetic users answer in character, in minutes, and the answers come back as distributions you can slice, not a wall of transcripts.
Pull a handful of demographically distinct citizens into a moderated session and dig into the why behind the numbers. The skeptic, the budget-conscious retiree and the early adopter push back in their own voices — the texture a survey can't give you.
Show the audience a concept — pricing, copy, a feature description, a positioning line — and collect reactions before you commit a sprint to it. Compare variants head-to-head and see which cohorts each one wins, and which it loses.
Every interview ends in the same cohort lens that powers agent test coverage: answer distributions split by age, income, language and life situation, with quotes to back the numbers. And the confidence caveats are baked in — a synthetic panel is directional signal, not a substitute for a properly powered human study, and the report says so.
No panels to recruit, no incentives to pay, no three-week field time — the audience is already there.
The whole city, a saved audience, or a single cohort — Census-grounded either way.
A survey, a focus-group topic, or a concept to react to.
Each citizen replies from their own demographics, personality and memory.
Distributions split by cohort, with quotes to back the numbers.
Synthetic respondents are directional signal — fast, cheap and honest about being synthetic. Validate the bet-the-company decisions with real humans.
Use it for direction: ranking options, killing obvious losers, spotting which cohorts react differently, and sharpening the questions you'll take to real users. Don't use it as a substitute for a properly powered human study on a bet-the-company decision — every report carries that caveat on purpose.
No — every respondent is fully synthetic, generated from public, aggregate Census data. That's the point: no recruiting, no professional survey-takers, no PII, and answers in minutes instead of weeks.
Each citizen is driven by an LLM conditioned on that citizen's demographics, Big Five personality, current context and memory — so answers are generated in character and vary across the population the way real answers do. Research on generative agents shows usefully human-like response patterns; it still isn't a human, which is why the caveat stays on every report.
No. Interviews run from the app against the audience you built. Connecting your agent over MCP or REST is only for the agent-testing side of the platform.
Yes. Citizens keep memory across sessions, so you can run longitudinal research — ask the same panel next week, after a pricing or message change, and see what moved.
One prompt role-playing "a user" gives you one averaged voice. Here every answer comes from a distinct, demographically correct person in a Census-grounded population — so you get distributions and cohort differences, not vibes. And the same panel comes back next run, so results are reproducible.
Build a Census-grounded audience and get cohort-split answers in minutes — no recruiting, no field time.