summarize-interview

Summarize customer interview transcripts into structured insights with evidence-quality labels.

Updated Aug 27, 2026

Search Tags:#templates #insights #interview #evidence #transcripts #summarize #product-discovery

Ready to run

npx skills add https://github.com/dangrahn/agent-skills --skill summarize-interview-dangrahn

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: summarize-interview
Source: https://github.com/dangrahn/agent-skills/tree/main/skills/pm-product-discovery/skills/summarize-interview
Command: npx skills add https://github.com/dangrahn/agent-skills --skill summarize-interview-dangrahn

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Summarizes customer interview transcripts into structured, actionable insights with evidence-quality assessment. This helps product teams quickly derive reliable learnings from qualitative data.

Core Features & Use Cases

Transcription-aware analysis: identifies speakers, extracts participant background, and catalogs reactions, pain points, and moments of enthusiasm.
Evidence-quality classification: labels data points as Behavior, Intent, or Opinion and assigns signal strength.
Output templating: generates a ready-to-use interview summary following the template in template.md.

Quick Start

Paste or provide the transcript file path, and the tool will generate a markdown summary saved next to the transcript.

Frequently Asked Questions about summarize-interview

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

FAQPage Schema

How do I summarize customer interview transcripts into structured insights?▼

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.

Can I classify user research data points by behavior, intent, and opinion?▼

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.

Does the interview summarization tool preserve verbatim quotes from the transcript?▼

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.

What is the best way to assess evidence quality in product discovery interviews?▼

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.

How do I generate a templated summary from a raw user research transcript?▼

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.

Are there limitations when summarizing transcripts with multiple speakers?▼

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.