Genway
AI-moderated user interviews that run autonomously and return tagged, quantified insights
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genway.aiAbout Genway
Genway runs user research interviews with an AI moderator so that teams can get qualitative answers in hours instead of waiting on a recruiting and scheduling cycle. The flow is three steps: you set a learning goal and the product suggests sharper research objectives around it, its conversational agent then conducts rapid autonomous interviews with your participants, and finally you get real-time summaries, automatic tagging and quantitative rollups across every conversation. The moderator is a named digital interviewer that probes follow-up answers rather than reading a fixed script, which is the difference between a survey and an interview and the reason teams pay for the format at all. Because the interviews run in parallel and unattended, sample sizes that would be impractical for a human-moderated study become routine, and the tagging layer means the synthesis step that usually eats a researcher's week happens as the responses land. It is aimed at product, design and insights teams inside customer-obsessed organisations — the kind that already believe in talking to users and are bottlenecked on researcher hours rather than on conviction. Genway offers a free start with no published price sheet. Genway is a seven-person team and the site leads with a free start rather than a demo request, so a product manager can run a study without first getting procurement involved, which is the practical reason tools in this category get adopted bottom-up.
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Key Features
Genway Pros & Cons
✅ Pros
- +Removes the scheduling bottleneck that limits interview sample sizes
- +Synthesis happens as data arrives instead of as a separate project
⚠️ Cons
- −No published pricing, so budgeting requires a sales conversation
- −An AI moderator still cannot read a room the way a skilled researcher can
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