summarize-interview

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

3|Updated Mar 28, 2026
One-click install
npx skills add https://github.com/hulusi-tunc/unicorn-skills --skill summarize-interview-hulusi-tunc
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: summarize-interview
Source: https://github.com/hulusi-tunc/unicorn-skills/tree/main/.claude/skills/design-research--summarize-interview
Command: npx skills add https://github.com/hulusi-tunc/unicorn-skills --skill summarize-interview-hulusi-tunc

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Analyzing interview transcripts manually is time-consuming and prone to bias. This Skill provides a repeatable, structured approach to distill transcripts into clear insights, themes, and recommended actions.

Core Features & Use Cases

  • Structured summaries including participant profiles, key themes, jobs-to-be-done, pains, workarounds, delighters, quotes, and surprises.
  • Quotes extraction to preserve verbatim statements for stakeholder reporting.
  • Actionable outputs with prioritized recommendations and follow-up research items.

Quick Start

Paste or upload your interview transcript and I will generate a structured summary with themes, quotes, and action items.

Frequently Asked Questions about summarize-interview

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

FAQPage Schema
How do I extract themes and quotes from interview transcripts?

Interview transcript analysis extracts structured insights by identifying themes, jobs-to-be-done, pains, workarounds, delighters, and notable verbatim quotes. This process transforms raw qualitative data into deterministic, actionable summaries for product and design research.

How do I summarize UX research interviews into action items?

Summarizing UX research interviews into action items involves structuring transcript data into prioritized recommendations. It extracts explicit action items, per-insight confidence indicators, and follow-up research items to drive product decisions.

What is the best way to identify jobs-to-be-done and user pains from qualitative interviews?

Identifying jobs-to-be-done and user pains from qualitative interviews requires mapping participant statements to structured frameworks. It categorizes pains with severity levels, workarounds, and delighters to provide a repeatable, bias-resistant approach to distilling insights.

Can I process multiple interview transcripts to generate structured participant profiles and insights?

Processing interview transcripts generates structured participant profiles alongside insights. It outputs frontmatter-driven data including themes, confidence indicators, and surprises, ensuring a deterministic summary across qualitative research workflows.

What format should interview transcripts be in for generating structured research summaries?

Interview transcripts can be pasted or uploaded directly to generate structured research summaries. The process accepts raw transcript text to extract participant profiles, pains, workarounds, delighters, and explicit action items.