pm-interview

Generate a user interview guide and plan from a product assumption.

42|2|Updated Mar 28, 2026
One-click install
npx skills add https://github.com/nmrtn/nanopm --skill pm-interview-nmrtn
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: pm-interview
Source: https://github.com/nmrtn/nanopm/tree/main/pm-interview
Command: npx skills add https://github.com/nmrtn/nanopm --skill pm-interview-nmrtn

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This skill provides a structured, hypothesis-driven approach to planning, conducting, and extracting insights from user interviews. It helps teams validate assumptions, map user jobs, and gather concrete signals that inform product decisions.

Core Features & Use Cases

  • Phase-based interview guide generation aligned with recognized frameworks (Torres, Fitzpatrick, Moesta, Alvarez)
  • Automatic generation of opening, story-anchor, core questions, and hypothesis checks
  • Outputs to FEEDBACK.md and INTERVIEW.md with structured signal and verbatim quotes
  • Supports live or Granola-imported interviews and signal extraction

Quick Start

Run the pm-interview skill to generate a complete interview guide for validating a top product assumption.

Frequently Asked Questions about pm-interview

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

FAQPage Schema
How do I generate a user interview guide for customer discovery?

To generate a user interview guide for customer discovery, you provide a specific product assumption. The skill outputs a complete plan with opening, story anchor, core questions, and hypothesis checks to validate your hypothesis.

How does hypothesis-driven user interview signal extraction work?

Hypothesis-driven user interview signal extraction works by analyzing live or Granola-imported transcripts. It identifies structured signals and verbatim quotes, outputting them to a feedback file to validate product assumptions.

Can I import Granola transcripts for customer interview analysis?

Yes, you can import Granola transcripts for customer interview analysis. The skill supports Granola transcript import to extract concrete signals and verbatim quotes, mapping user jobs to inform product decisions.

What is the best way to validate product assumptions using JTBD and Mom Test frameworks?

The best way to validate product assumptions using JTBD and Mom Test frameworks is applying a phase-based guide generation. This approach aligns with recognized discovery frameworks to map user jobs and gather concrete signals.

Do I need a specific product hypothesis to start lean discovery interviews?

Yes, you need a specific product hypothesis to start lean discovery interviews. The skill generates a complete, ready-to-use interview guide and plan based entirely on validating a specific top product assumption.

What files are outputted when planning hypothesis-driven user interviews?

When planning hypothesis-driven user interviews, the skill outputs artifacts to INTERVIEW.md and FEEDBACK.md. These files capture the structured interview plan, extracted signals, and verbatim quotes.