How do I find feature requests buried in conversations?
Feature requests don't arrive as tickets, they arrive as half-finished sentences inside agent conversations. Flowlines extracts them from every transcript, clusters duplicates, and ranks by frequency and abandonment cost so you can prioritize without reading 10,000 sessions.
The product feedback you'd actually act on is locked inside agent transcripts. Users phrase a need, get a deflection or a hallucination, and leave. The signal doesn't make it into your tracker.
Flowlines reads your existing traces and identifies utterances that look like feature requests: requests for capabilities the agent does not have, behaviors it does not support, or questions it could not answer.
Each candidate request is clustered with semantically similar phrasings, attributed to a cohort, and ranked by:
Frequency. How many distinct users asked. Abandonment cost. How often sessions matching this request ended in session_abandon. Cohort skew. Whether the request is concentrated in high-value users or low-value users.
An export feature users keep asking for
The discoveries queue surfaces a candidate cluster: request_csv_export. Distinct users over the last 30 days asked for the ability to export their data, phrased many different ways. A large share of those sessions ended without resolution, and the users sit in the at-risk cohort.
The PM doesn't need to read transcripts. They see a ranked card with the count, the cost, the representative quotes, and the cohort. Ship the export, the signal goes silent.
Last updated 2026-05-28