pm-product-discovery

Coordinate interview-based product discovery to generate structured, evidence-graded insights.

Updated Aug 27, 2026

Search Tags:#insights #interviews #transcripts #summarize #experiments #product-discovery #assumption-testing

Ready to run

npx skills add https://github.com/dangrahn/agent-skills --skill pm-product-discovery

💬 Prompt for ChatGPT / Claude Chat▼

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

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Product discovery teams need a structured way to turn interviews and user research into actionable insights. This skill collection provides a framework to collect, summarize, and analyze customer interviews, validate assumptions, and design experiments with clear evidence-quality signals.

Core Features & Use Cases

Summarize interview transcripts into structured, evidence-graded insights.
Analyze transcripts to identify assumptions, pain points, and opportunities.
Design experiments and validate product ideas from research findings.
Upstream compatibility: local overrides take precedence over upstream pm-skills, enabling customization.

Quick Start

Run /pm-product-discovery:summarize-interview [transcript]

Frequently Asked Questions about pm-product-discovery

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

FAQPage Schema

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

You can summarize interview transcripts into structured, evidence-graded product insights by processing raw text through the framework to extract pain points, opportunities, and assumptions automatically.

How do I identify and test product assumptions from user research interviews?▼

Testing product assumptions from user research involves analyzing interview transcripts to extract hypotheses and then using the framework to design targeted experiments with clear evidence-quality signals.

What is the best way to coordinate product discovery across multiple teams?▼

Coordinating product discovery across multiple teams requires a structured framework that standardizes interview analysis, assumption validation, and experiment design to ensure consistent, evidence-graded outputs.

Can I customize discovery workflows with local overrides for specific team needs?▼

Yes, local overrides take precedence over upstream configurations, enabling customization of the product discovery workflow to fit specific team needs without modifying the core framework.

Does this product discovery skill require any external dependencies to run?▼

No, this product discovery skill operates independently without external dependencies, allowing you to analyze transcripts and design experiments directly within your local environment.

How do I design experiments to validate product ideas from research findings?▼

Designing experiments to validate product ideas involves processing structured insights from interview transcripts to formulate testable hypotheses and generate clear evidence-quality signals for your findings.