An AI agent that prepares user interviews

Preparing a good user interview often means jumping between analytics, support conversations, previous research, recent product changes, and old interview notes.

I would like an agent that assembles that context before every interview. It could surface recent behavioral patterns, recurring customer issues, previous findings, and unresolved hypotheses relevant to the person being interviewed.

Researchers would spend less time gathering context and more time deciding what they actually need to learn.

Start with a narrow prototype connected only to previous research notes and support tickets, then evaluate whether the suggested questions actually improve interview preparation.