summarize-interview

Transform interview transcripts into structured summaries with Jobs to Be Done and action items.

1|Updated Mar 23, 2026
One-click install
npx skills add https://github.com/cano721/ai-harness --skill summarize-interview-cano721
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: summarize-interview
Source: https://github.com/cano721/ai-harness/tree/main/teams/planning/bundle-claude/skills/summarize-interview
Command: npx skills add https://github.com/cano721/ai-harness --skill summarize-interview-cano721

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Transforms raw customer interview transcripts into a concise, structured summary that highlights Jobs to Be Done, satisfaction signals, and actionable items, enabling faster product decisions and discovery learning.

Core Features & Use Cases

  • Transform transcripts into a consistent, JTBD-focused summary.
  • Capture satisfaction signals and prioritize next steps for product teams.
  • Use in discovery interviews, customer interviews, or research summaries to create shareable insights.

Quick Start

Provide the interview transcript or attach the file and run summarize-interview to generate a structured summary.

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 Jobs to Be Done insights?

To summarize interview transcripts into JTBD insights, the skill processes raw text or attachments to extract jobs, satisfaction signals, and action items. It outputs a structured template covering date, participants, background, current solutions, and actions for product discovery.

What is the best way to extract satisfaction signals from customer interviews?

The best way to extract satisfaction signals from customer interviews is by processing the transcripts through a structured JTBD summary template. This identifies key jobs, current solutions, and actionable items for product teams.

Can I use transcript-based research to generate structured product discovery summaries?

Yes, you can use transcript-based research to generate structured product discovery summaries. The skill reads pasted text or attachments from discovery interviews and produces a consistent output with insights and prioritized actions.

How do I turn raw customer interview transcripts into a shareable template?

To turn raw customer interview transcripts into a shareable template, the skill structures the data into sections including date, participants, background, current solution, insights, and actions, enabling quick synthesis for product teams.

Does this work for discovery interviews with no predefined template format?

Yes, it works for discovery interviews without a predefined format. The skill processes raw transcripts and applies a consistent output template focused on Jobs to Be Done, capturing background, current solutions, and action items automatically.