summarize-interview

You can summarize customer interview transcripts by processing pasted text, PDF files, or transcribed audio to extract Jobs to Be Done, satisfaction signals, and action items. The output is a structured Markdown summary with background, problems, key insights, and follow-ups.

The best way to extract action items from user research transcripts is to process the text through a structured summarization template. This isolates actionable follow-ups and key insights from the raw interview data into a clear task list for product teams.

Yes, you can process pasted text, attached text files, PDF documents, and transcribed audio files. The summarizer extracts satisfaction signals and key insights from these inputs to generate a structured Markdown document for stakeholder reporting.

Identify Jobs to Be Done by processing customer interview transcripts to highlight user goals, current solutions, and satisfaction signals. The summarization output captures these JTBD elements in a structured Markdown document alongside problems and key insights.

Interview summarization is ideal for UX research and stakeholder reporting because it distills long transcripts into concise structured summaries. It captures date, participants, current solutions, problems, and key insights for quick product team distribution.