Candor helps you decide what to build, ship, and price, using synthetic users grounded in real evidence. Use it for problem discovery, concept testing, value-prop and price testing, and assumption validation on anything from a brand-new idea to a refinement of a live product. The fastest way to use it well is to learn the five things you’ll touch.
A project is the unit of work. One project = one audience you want to understand + one set of personas built for it + the interviews and reports that come from it. You create a project, name it, pick a region, describe the audience, and upload any evidence you already have. Everything else flows from there.
Once your project is set up, Candor researches the audience for you. It reads your uploaded documents, proposes a set of candidate segments, then searches the web for evidence about them, extracting signals as it goes (behaviors, pain points, beliefs, constraints). A critic pass flags weak evidence at the end. You review the segments and decide which ones to include. That selection becomes the foundation for the personas.
Candor generates archetypes (the behavioral shapes that exist in your audience) and then materialises individual personas inside each archetype. Each persona has a personality (sampled from peer-reviewed Big Five distributions), cognitive biases with calibrated intensities, memories, and decision-making patterns. Every trait carries a provenance tag so you can see where it came from.
Two ways to interview. Live: you type questions, personas respond in real time, and a critic validates each response for consistency before delivery. Auto: Candor runs the interview for you against a guide you configure, with built-in stopping criteria, coverage tracking, and signal extraction. Personas remember everything across sessions within the same project.
An auto-interview run synthesises itself into a report when the last session finishes. It opens with the top learnings, each paired with the next step it implies, then works down through what matters most, the findings, and an evidence appendix. What sits inside the findings is tuned to the kind of interview you ran, so a problem-validation report gives a verdict per hypothesis while a price-testing report gives willingness-to-pay ranges. Every claim links back to source quotes, and you can export the whole thing.
Candor Bot sits in the bottom-right corner of every screen in the app. It explains what you’re looking at, interprets a result, and, on the screens where you’re typing, will tell you whether what you’ve written is specific enough before you commit to a run. That last one is worth the habit: the quality of an audience description drives the quality of everything downstream.
Candor isn’t a faster way to invent customers. It’s a faster way to test whether what you think you know is supported by evidence. The personas push back. The critic catches drift. The synthesis surfaces tensions you’d miss with a single interview. Use it before you commit, not after.
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