summarize-interview

To summarize an interview transcript for product discovery, the tool extracts jobs-to-be-done, satisfaction signals, and action items, generating a structured markdown report with key insights and recommended next steps.

Yes, you can extract jobs-to-be-done and action items from user research transcripts. The tool processes pasted conversation logs or audio transcriptions to identify desired outcomes, importance cues, and clear follow-up actions.

The best way to turn customer conversation logs into structured research notes is applying a summarization framework that outputs a markdown report featuring date, participants, background, current solutions, likes, problems, and key insights.

Yes, the summarization process works with raw audio transcriptions. It is designed to handle transcribed audio from discovery sessions, converting the text into ready-to-share research notes for product teams.

It handles missing context in an interview transcript by applying context-aware validation, which identifies gaps in the conversation and asks targeted clarification questions before completing the final summary.