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measuring-product-market-fit

Guides users through PMF frameworks including Sean Ellis surveys and retention analysis.

Updated Mar 9, 2026
Search Tags:#retention#survey#segmentation#pmf#product-market-fit#reference-customer
One-click install
npx skills add https://github.com/Andy-HNU/AndyClaw --skill measuring-product-market-fit-andy-hnu
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: measuring-product-market-fit
Source: https://github.com/Andy-HNU/AndyClaw/tree/main/skills/lenny-measuring-product-market-fit
Command: npx skills add https://github.com/Andy-HNU/AndyClaw --skill measuring-product-market-fit-andy-hnu

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

PMF is hard to gauge and maintain across product iterations. This skill provides a structured approach to assess market pull, retention, and referenceability to decide when to scale or continue iterating.

Core Features & Use Cases

  • Guided PMF assessment using Sean Ellis survey and retention analysis.
  • Segment-focused validation with reference customers to de-risk growth.
  • Practical playbooks for deciding between scaling, iterating, or pivoting.

Quick Start

Ask stage questions, run the Sean Ellis survey, and review retention signals to decide whether to scale or iterate.

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 the Sean Ellis survey?▼

To measure product-market fit using the Sean Ellis survey, ask users how disappointed they would be if the product disappeared. A 40% or higher "very disappointed" response typically indicates strong market pull and readiness to scale.

What retention signals indicate my product has achieved product-market fit?▼

Retention curves that flatten out at a sustained plateau indicate product-market fit. This stable retention signal demonstrates consistent ongoing engagement and validates market pull across different user segments.

When should I scale versus iterate my product based on PMF signals?▼

You should scale when PMF signals like strong Sean Ellis survey results and stable retention curves are validated by reference customers. If these metrics are weak, you should continue iterating or consider pivoting.

How does customer segmentation help validate product-market fit?▼

Customer segmentation validates product-market fit by isolating which specific user groups exhibit the strongest retention and survey responses. De-risking growth requires confirming these segments contain viable reference customers.

Do I need reference customers to confirm product-market fit?▼

Yes, validating with reference customers is a required step to confirm product-market fit. They provide qualitative proof of market pull within specific segments, ensuring your assessment is grounded before scaling.

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