summarize-interview

To summarize interview transcripts, you can process the document to extract participant backgrounds, pain points, and verbatim quotes, then output a structured markdown summary alongside the original transcript.

Yes, user research transcripts can be analyzed to classify data points by behavior, intent, and opinion, while assigning evidence-quality signal strength to help product teams derive reliable learnings.

Yes, the interview summarization tool preserves verbatim quotes from the transcript, cataloging reactions and moments of enthusiasm alongside the extracted pain points in the final structured markdown summary.

Assessing evidence quality in product discovery interviews involves labeling data points as behavior, intent, or opinion, and assigning signal strength to ensure product teams derive reliable, actionable learnings.

You can generate a templated summary from a raw user research transcript by providing the transcript file path, which triggers transcription-aware analysis and outputs a ready-to-use markdown summary saved next to the original file.

The summarization tool is transcription-aware and identifies speakers to catalog reactions and pain points, but it requires clear transcript formatting to accurately extract participant backgrounds and preserve verbatim quotes.