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measuring-product-market-fit

Analyze survey responses, retention cohorts, and advocacy signals to measure product-market fit.

5|Updated Jan 19, 2026
Search Tags:#growth#retention#product-market fit#customer feedback#pmf#sean ellis survey
One-click install
npx skills add https://github.com/oldwinter/skills --skill measuring-product-market-fit
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: measuring-product-market-fit
Source: https://github.com/oldwinter/skills/tree/main/lenny-skills/product-skills/measuring-product-market-fit
Command: npx skills add https://github.com/oldwinter/skills --skill measuring-product-market-fit

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill helps you systematically measure Product-Market Fit (PMF) to understand your product's traction, identify areas for improvement, and make data-driven decisions for growth.

Core Features & Use Cases

  • PMF Measurement: Utilizes a triangulated signal set including surveys (Sean Ellis method), user behavior (retention/engagement), and customer advocacy.
  • PMF Drift Detection: Identifies when market shifts or rising expectations may be eroding your PMF.
  • Actionable Insights: Produces a PMF Measurement Pack with a diagnosis and prioritized action plan.
  • Use Case: A SaaS company wants to know if they have achieved PMF for their new feature. They use this Skill to run a Sean Ellis survey, analyze user retention for feature adopters, and gather testimonials from early users to produce a PMF scorecard and a plan for scaling.

Quick Start

Use the measuring-product-market-fit skill to assess our current product-market fit for the SMB segment, focusing on retention and survey data.

Frequently Asked Questions about measuring-product-market-fit

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

FAQPage Schema
How do I measure product-market fit using survey and retention data?▼

You can measure product-market fit by triangulating Sean Ellis survey responses, user retention cohorts, and customer advocacy signals to produce a diagnostic scorecard and prioritized action plan.

What is the best way to run a Sean Ellis survey for a B2B SaaS feature?▼

Running a Sean Ellis survey for B2B SaaS involves asking target users how disappointed they would be without the feature, then analyzing responses alongside retention data to assess launch readiness.

Can I assess product-market fit for a marketplace model using this approach?▼

Yes, assessing product-market fit for marketplace models is supported with specific considerations, analyzing retention cohorts and survey data to evaluate traction and produce a growth action plan.

How do I know if I have achieved product-market fit for a new feature launch?▼

You know you have achieved product-market fit when a triangulated analysis of Sean Ellis survey results, feature adopter retention, and early user testimonials yields a positive PMF scorecard.

Why does product-market fit drift happen and how can I detect it?▼

Product-market fit drift happens when market shifts or rising expectations erode traction; you detect it by continuously monitoring retention cohorts and customer advocacy signals for declining engagement.

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