SkillsAdd

pmprompt/claude-plugin-product-management

pmf-survey

Use when asked to "PMF survey", "measure product-market fit", "40% rule", "Sean Ellis test", "Rahul Vohra method", or "how disappointed would you be".

First seen Feb 15, 2026

Installation

$ npx skills add pmprompt/claude-plugin-product-management --skill pmf-survey
View on skills.sh ↗ GitHub repository ↗

Summary

  • Use when asked to "PMF survey", "measure product-market fit", "40% rule", "Sean Ellis test", "Rahul Vohra method", or "how disappointed would you be".
  • Helps quantify product-market fit and systematically improve it.
  • The PMF Survey framework (created by Sean Ellis, popularized by Rahul Vohra at Superhuman) measures how disappointed users would be without your product and turns that data into a roadmap.

Similar popular skills

Related neighbors and high-traction skills in the same topics — useful to compare before installing.

agent-browser Same topic
vercel-labs/agent-browser

Browser automation CLI for AI agents. Use when the user needs to interact with websites, includ…

810.4K installs
azure-diagnostics Same topic
microsoft/azure-skills

Debug Azure production issues on Azure using AppLens, Azure Monitor, resource health, and safe …

568.9K installs
azure-validate Same topic
microsoft/azure-skills

Pre-deployment validation for Azure readiness. Run deep checks on configuration, infrastructure…

567.7K installs
azure-aigateway Same topic
microsoft/azure-skills

Configure Azure API Management as an AI Gateway for AI models, MCP tools, and agents. WHEN: sem…

566.3K installs
azure-compute Same topic
microsoft/azure-skills

Azure VM/VMSS router. WHEN: create / provision / deploy / spin-up VM, recommend VM size, compar…

510K installs
supabase-postgres-best-practices Same topic
supabase/agent-skills

Postgres best practices maintained by Supabase, for Postgres running anywhere. Load this skill …

391.6K installs

Also in this package

Other skills from pmprompt/claude-plugin-product-management · top by installs.

npx skills add pmprompt/claude-plugin-product-management
prd-writer 1.2K feature-prioritization-assistant 510 thinking-in-bets 406 user-feedback-synthesizer 404 product-led-growth 379 jobs-to-be-done 374 shape-up 367 okrs 366 ab-test-designer 365 strategic-narrative 359

Browse all from pmprompt/claude-plugin-product-management

More details

Agent compatibility

Declared targets from SKILL.md / docs. Unmarked agents are not listed — the skill may still install via the CLI.

Claude Code Not declared
Cursor Not declared
Codex Not declared
GitHub Copilot Not declared
Windsurf Not declared
Gemini CLI Not declared
Cline Not declared
OpenCode Not declared

Repository health

Stars 49
License LICENSE
Default branch main
Open issues 2
Status Active

Package contents

Files included with this skill beyond the listing page.

  • skill md SKILL.md 2,766 B
  • docs SUMMARY.md 2,723 B

History

  1. First seen on skills.sh
  2. First recorded snapshot · 335 installs

SKILL.md

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.

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

Further Reading