pmf-survey

📁 pmprompt/claude-plugin-product-management 📅 13 days ago
30
总安装量
29
周安装量
#12413
全站排名
安装命令
npx skills add https://github.com/pmprompt/claude-plugin-product-management --skill pmf-survey

Agent 安装分布

gemini-cli 26
kimi-cli 25
amp 25
github-copilot 25
codex 25
opencode 25

Skill 文档

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.

Rahul Vohra at Superhuman took this further: he built an engine that uses survey responses to algorithmically generate a roadmap guaranteed to increase PMF score.

When to Use It

Use the PMF Survey when you need to:

  • Quantify product-market fit before making major investment decisions
  • Decide whether to pivot or double down
  • Prioritize your roadmap based on what will actually move the needle
  • Identify your best customer segment (who loves you most)
  • Track PMF over time as you iterate
  • Make the case to investors with data, not gut feeling

When Not to Use It

  • You have fewer than 30 active users (sample too small)
  • Users haven’t had enough time to experience value (survey too early)
  • The product is employer-mandated (users had no choice)
  • You want to validate a hypothesis without building (use JTBD instead)

Resources

Articles:

  • How Superhuman Built an Engine to Find Product-Market Fit by Rahul Vohra

Books:

  • Hacking Growth by Sean Ellis
  • The Lean Startup by Eric Ries