Rank feature backlog
Turn user interviews into a ranked feature backlog
Reads a set of user interview transcripts or research notes, extracts every distinct feature request, then deduplicates and prioritizes them by how many users asked and which segments they came from. It turns raw qualitative research into a ranked backlog a product manager can act on, with each request traceable back to the interviews that raised it.