summarize-interview

To summarize user interview transcripts, process the text to extract Jobs-to-be-Done, satisfaction signals, and action items. This synthesizes qualitative data into concise reports highlighting user goals, pain points, and follow-up actions.

Extracting Jobs-to-be-Done from qualitative data involves structuring interview summaries around user goals and satisfaction signals. This distills exploratory interviews into what users try to achieve and their current solution preferences.

Identify satisfaction signals in user research by reading transcripts and organizing content into a structured format. This highlights what users like or dislike about current solutions, converting raw qualitative data into clear takeaways.

Yes, you can generate action items from raw exploratory interview transcripts by synthesizing qualitative data. This involves reading the transcript and templating output to produce concise reports with clear follow-up actions.

This approach processes qualitative data from exploratory interviews by generating a structured summary per transcript. It requires careful reading to extract JTBD, satisfaction signals, and action items from individual interview sessions.