pmf-survey

Create and analyze PMF surveys to compute the "very disappointed" rate.

16|3|Updated Oct 23, 2025
One-click install
npx skills add https://github.com/breethomas/bette-think --skill pmf-survey-breethomas
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: pmf-survey
Source: https://github.com/breethomas/bette-think/tree/main/plugins/bette-think/skills/pmf-survey
Command: npx skills add https://github.com/breethomas/bette-think --skill pmf-survey-breethomas

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Help product teams determine whether they have product-market fit by measuring how many users would be "very disappointed" if the product disappeared, and convert survey results into a prioritized roadmap of improvements.

Core Features & Use Cases

  • Create targeted four-question PMF surveys tailored to active users who have recently used the core product.
  • Analyze responses and compute the magic benchmark: percentage of users answering "very disappointed" with >40% indicating PMF.
  • Segment and prioritize by high-expectation customers, extract top benefit themes from supporters, and generate an actionable improvement plan.
  • Exportable workflows for Typeform/Google Forms and guidance on sample sizes, who to survey, and implementation best practices.

Quick Start

Ask the skill to analyze your PMF survey by pasting or describing your response counts and open-ended answers to compute the "very disappointed" percentage and return a segmented action plan.

Frequently Asked Questions about pmf-survey

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

FAQPage Schema
How do I measure product-market fit using a PMF survey?

Measure product-market fit by surveying active users with a four-question PMF survey and calculating the percentage who would be "very disappointed" if the product disappeared. A rate exceeding 40% indicates you have achieved product-market fit.

What questions should I include in a product-market fit survey?

A standard product-market fit survey uses four targeted questions directed at active users who recently experienced the core product. The skill generates these specific questions and provides exportable formats for platforms like Typeform and Google Forms.

How do I analyze open-ended PMF survey responses to create an action plan?

Analyze open-ended PMF survey responses by extracting top benefit themes from supporters and segmenting high-expectation customers by user attributes. This segmentation converts qualitative feedback into a prioritized, actionable product improvement roadmap.

How many users do I need to survey for a reliable product-market fit test?

The product-market fit test provides guidance on appropriate sample sizes and identifies exactly who to survey, focusing on active users who have recently interacted with your core product to ensure reliable sentiment measurement.

Can I use this PMF survey workflow for both early-stage and growth-stage products?

The PMF survey workflow applies to both early-stage and growth-stage product contexts. It measures user sentiment and identifies improvement priorities regardless of the product's current maturity level.

What is the best way to segment PMF survey respondents for product improvements?

The best way to segment PMF survey respondents is by user attributes to isolate high-expectation customers. Comparing the "very disappointed" rates across these segments pinpoints exactly which user profiles to prioritize in your action plan.