How do founders use support conversations as product research with AI?

Every ticket is a free user interview, and AI finally makes the whole corpus readable: founders pipe exports into Claude Code or tools like Enterpret to cluster complaints, surface feature gaps, and quantify which bugs actually cost revenue. Even your support bot's failures are research, an unresolved-questions report is effectively a ranked list of where your docs and product confuse people. The one discipline that matters is verification, forcing the AI to quote exact customer words so you act on real patterns instead of plausible slop.

A quick orientation. The real value is below: resources worth your time, from people who've actually done it.