Questions you probably have
Synthetic interviews aren’t a replacement for talking to real people — but they’re a powerful complement. Use them to pressure-test your interview guide, explore the problem space broadly, and sharpen the hypotheses you bring to real conversations. Many teams run synthetic discovery first, then use human interviews to validate the most important signals.
A full discovery sprint — from problem statement to insights — typically takes 30 to 60 minutes. That includes generating synthetic users, running interviews, and synthesizing results. What used to take weeks now fits in a morning.
Yes, they complement each other: Synthetic users aren’t a replacement for real people, they are a powerful complement to accelerate and expand your discovery. The synthetic users can cover 80-85% of your discovery needs, uncovering unexpected insights and surprises. Consider these hypotheses, then validate them with real users. Because now you can focus your real user research on the remaining 15-20%, synthetic user research acts as an accelerant, saving you time and effort.
Not in the current version, but it’s on the roadmap. In a future release, you’ll be able to upload transcripts from human interviews and synthesize them alongside your synthetic ones — for a complete, hybrid view of your users.
ProductQuest is for anyone who needs to understand users before building: product managers, UX researchers, product designers, and startup founders. If you’re in the early stages of product or feature discovery — whether solo or on a team — ProductQuest will accelerate, expand, and focus your work.
Yes. Every project is private to your account.
We never use your problem statements, synthetic users, or interview data to train AI models.