summarize-interview

Summarize interview transcripts into structured themes, quotes, and action items.

2.0k|325|Updated Mar 7, 2026
One-click install
npx skills add https://github.com/Owl-Listener/designer-skills --skill summarize-interview-owl-listener
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: summarize-interview
Source: https://github.com/Owl-Listener/designer-skills/tree/main/design-research/skills/summarize-interview
Command: npx skills add https://github.com/Owl-Listener/designer-skills --skill summarize-interview-owl-listener

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This skill helps researchers quickly transform raw interview transcripts into structured insights, saving time and enabling stakeholder sharing.

Core Features & Use Cases

  • Structured summaries: participant profiles, themes, jobs-to-be-done, pain points, quotes, action items.
  • Notable quotes extraction and confidence rating.
  • Reuse for synthesis, findings reports, and stakeholder briefings.
  • Use Case: after conducting interviews with users, generate a downloadable summary with key themes and quotes.

Quick Start

Provide the transcript text to the assistant and run summarize-interview to generate a structured, shareable insights report.

Frequently Asked Questions about summarize-interview

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I summarize interview transcripts into structured insights?

To summarize interview transcripts, provide the raw text to generate a structured report capturing participant profiles, key themes, jobs-to-be-done, pain points, workarounds, delighters, quotes, surprises, and action items with confidence ratings.

What is the best way to extract themes and notable quotes from user interviews?

Extracting themes and notable quotes from user interviews involves synthesizing qualitative data to identify recurring patterns, participant pain points, and surprising insights, then organizing them into a shareable report with confidence ratings.

Can I generate action items from UX research interviews?

Yes, you can generate action items from UX research interviews by processing the transcript to identify jobs-to-be-done and pain points, resulting in a structured list of actions with corresponding confidence ratings for stakeholder sharing.

Does this approach work for capturing participant profiles and jobs-to-be-done?

Yes, this approach works for capturing participant profiles and jobs-to-be-done by analyzing qualitative interview data to synthesize user backgrounds, motivations, and required tasks into a structured, actionable insights summary.

How do I prepare qualitative data for synthesis and stakeholder briefings?

Prepare qualitative data for synthesis and stakeholder briefings by processing raw interview transcripts to extract structured insights, enabling quick transformation of participant responses into downloadable summaries with key themes and quotes.

What limitations exist when structuring raw interview data into research findings?

Limitations when structuring raw interview data include relying entirely on the provided transcript text quality, meaning incomplete or ambiguous qualitative data may reduce the accuracy of extracted themes, quotes, and confidence ratings.