Pmf Survey
- 310 installs
- 43 repo stars
- Updated March 7, 2026
- pmprompt/claude-plugin-product-management
pmf-survey is a product management skill that designs and runs Sean Ellis Product-Market Fit surveys using the 40% very-disappointed benchmark for developers deciding whether to pivot or double down before a full build.
About
pmf-survey is a pmprompt skill implementing the Sean Ellis Product-Market Fit Survey, popularized by Rahul Vohra at Superhuman. The core question asks how disappointed users would be if they could no longer use the product, with responses scored as very disappointed, somewhat disappointed, or not disappointed. Sean Ellis found that companies reaching 40% or more very disappointed responses almost always grew successfully, while those below 40% struggled. The skill turns survey data into a prioritized roadmap aimed at raising the PMF score. A developer or PM reaches for pmf-survey when quantifying fit before major engineering investment, identifying the best customer segment, or presenting retention data to stakeholders.
- Sean Ellis PMF scoring
- segment-specific survey design
- disappointment-without-product test
- actionable go/no-go thresholds
- interview follow-up prompts
Pmf Survey by the numbers
- 310 all-time installs (skills.sh)
- +12 installs in the week ending Aug 4, 2026 (Skillselion tracking)
- Ranked #884 of 3,282 Productivity & Planning skills by installs in the Skillselion catalog
- Data as of Aug 4, 2026 (Skillselion catalog sync)
npx skills add https://github.com/pmprompt/claude-plugin-product-management --skill pmf-surveyAdd your badge
Show developers this skill is listed on Skillselion. Paste this into your README.
| Installs | 310 |
|---|---|
| repo stars | ★ 43 |
| Last updated | March 7, 2026 |
| Repository | pmprompt/claude-plugin-product-management ↗ |
How do you measure product-market fit with surveys?
Design and run a Product-Market Fit survey to quantify retention, disappointment, and must-have value before committing engineering to a full build.
Who is it for?
Product teams with at least 30 active users who have experienced enough product value to answer a disappointment question honestly.
Skip if: Products with fewer than 30 active users, employer-mandated tools, or teams needing pre-build hypothesis validation instead of retention measurement.
When should I use this skill?
The user asks for a PMF survey, Sean Ellis test, 40% rule, or how disappointed users would be without the product.
What you get
PMF survey instrument, disappointment score percentage, segment analysis, and data-driven product roadmap
By the numbers
- Uses the 40% very-disappointed PMF benchmark from Sean Ellis
- Requires a minimum of 30 active users for valid survey results
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.
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
Related skills
Grill MeHave an agent relentlessly pressure-test their plan or design until every decision branch is resolved and shared understanding is reached.691k196kGrill With DocsPressure-test architecture decisions against their live codebase and living documentation before writing production code.585k196k
Lark CalendarLet their coding agents read, create, and manage events inside Lark (Feishu) Calendar directly from natural language instructions.493kLark ImLet their coding agent send instant notifications, post updates, and receive commands directly inside Lark (Feishu) workspaces.493kLark ContactLet their AI coding agents read and write contacts, send messages, and manage user data inside Lark (Feishu).493kLark AttendanceAutomatically fetch and report daily attendance data from Lark (Feishu) into their own tools or agents.493kHow it compares
Choose pmf-survey over design-sprint when you need quantitative retention scores from existing users rather than a five-day prototype test.
FAQ
What is the PMF benchmark in pmf-survey?
pmf-survey uses Sean Ellis's 40% rule: companies where 40% or more respondents answer very disappointed almost always grew successfully. Scores below 40% signal the product needs focused roadmap changes before scaling.
How many users does pmf-survey need?
pmf-survey requires at least 30 active users for a meaningful sample. The skill also warns against surveying before users have experienced enough value or when the product is employer-mandated.
What question does pmf-survey ask?
pmf-survey centers on Sean Ellis's core question: how would you feel if you could no longer use this product? Responses map to very disappointed, somewhat disappointed, or not disappointed tiers.