AI for UX Research and Product Discovery
Product discovery decides what to build before anyone designs it. Fleck uses AI to structure that work: it restates the problem, lists the riskiest assumptions, drafts personas and journeys, and keeps the results in the project so flows and screens reflect what you learned.
What Fleck helps with
Fleck structures discovery and synthesis. It does not invent research data.
- A clear problem statement and target user
- The riskiest assumptions and what to test first
- Draft personas and user journeys you can correct with real evidence
- Competitor and market context to discuss with your team
- UX Interview in Fleck Agent to work through the product with guided questions
Your evidence, structured
Add what you learned from interviews and analytics as project context. Later stages, from information architecture to UX audit, use it instead of generic assumptions.
What it is not
- Not a replacement for interviewing real users.
- Not survey or panel data: AI output is a structured starting point to validate.
Frequently asked questions
Can AI do UX research?
AI can speed up planning and synthesis, such as framing problems, listing assumptions and drafting personas. The evidence itself still comes from real users.
What happens to discovery results?
They stay in the Fleck project and feed requirements, information architecture, user flows and screens.