Pmf Survey

pmprompt/claude-plugin-product-management

This walks you through the Sean Ellis test for measuring product-market fit: survey users on how disappointed they'd be if your product disappeared, then use that data to build your roadmap. If 40% or more say "very disappointed," you've likely got something. What I like here is it's not just measurement, it's Rahul Vohra's full method from Superhuman for turning responses into prioritization decisions. You need at least 30 active users who've had real time with the product, so it's not for early validation. Best used when you're past initial traction and need to decide whether to double down or pivot, or when your roadmap arguments have devolved into opinion tennis.

skills.sh installs: 358
GitHub stars: 58
last updated: Aug 21, 2026

View on GitHub

Install

$ npx -y skills add pmprompt/claude-plugin-product-management --skill pmf-survey --agent claude-code

Installs into .claude/skills of the current project.

Files

Domain Context

This skill implements a proven product management framework. The approach combines best practices from industry leaders and is designed for practical application in day-to-day PM work.

Input Requirements

Context about your product, feature, or problem
Relevant data, research, or constraints (recommended but optional)
Clear articulation of what you're trying to achieve

PMF Survey (Product-Market Fit Survey)

What It Is

The PMF Survey is a method to measure and systematically improve product-market fit. The core insight: you can put a number on product-market fit, and you can use that number to write your roadmap.

The key question: "How would you feel if you could no longer use this product?"

Very disappointed - "I'd be devastated. I need this."
Somewhat disappointed - "I'd be bummed but I'd find something else."
Not disappointed - "I wouldn't really care."

Sean Ellis discovered that companies with 40% or more "very disappointed" responses almost always grew successfully, while those under 40% struggled. This benchmark has held across thousands of companies.

SKILL.md on GitHub