measuring-product-market-fit

Diagnose product-market fit using retention, Sean Ellis surveys, and market pull evidence.

3|Updated Mar 22, 2026
One-click install
npx skills add https://github.com/CodeAlive-AI/ceo-ai-os --skill measuring-product-market-fit-codealive-ai
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: measuring-product-market-fit
Source: https://github.com/CodeAlive-AI/ceo-ai-os/tree/main/skills/measuring-product-market-fit
Command: npx skills add https://github.com/CodeAlive-AI/ceo-ai-os --skill measuring-product-market-fit-codealive-ai

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill helps founders and product teams determine whether they truly have product-market fit or are mistaking vanity metrics, polite feedback, or launch spikes for real demand.

Core Features & Use Cases

  • Fit Assessment: Evaluate whether retention, engagement, and customer pull are strong enough to justify scaling.
  • Survey and Signal Analysis: Interpret Sean Ellis disappointment surveys, reference-customer thresholds, cohort retention, and referral behavior.
  • Decision Support: Decide whether to keep iterating, narrow to a stronger segment, or begin scaling with confidence.
  • Use Case: A founder with growing signups but weak retention can use this Skill to diagnose whether the product is pre-PMF, segment-specific PMF, or ready to scale.

Quick Start

Ask the skill to evaluate your retention, customer feedback, Sean Ellis results, and market pull so it can tell you whether to scale, iterate, or pivot.

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 retention and cohort signals?

A Sean Ellis survey measures product market fit by asking users how disappointed they would be if the product disappeared. This Skill interprets your survey results alongside retention and referral behavior, recommending whether to iterate, narrow your segment, or scale based on the disappointed threshold.

How do I interpret Sean Ellis survey results for customer validation?

A Sean Ellis survey measures product market fit by asking users how disappointed they would be if the product disappeared. This Skill interprets your survey results alongside retention and referral behavior, recommending whether to iterate, narrow your segment, or scale based on the disappointed threshold.

What is the difference between vanity metrics and true market pull?

You need customer feedback, cohort retention signals, and demand evidence to assess product market fit readiness. This Skill requires these inputs to evaluate segment validation, reference customer thresholds, and market pull before recommending an iterate, narrow, or scale decision.

Do I need reference customers and demand evidence to assess scaling readiness?

You need customer feedback, cohort retention signals, and demand evidence to assess product market fit readiness. This Skill requires these inputs to evaluate segment validation, reference customer thresholds, and market pull before recommending an iterate, narrow, or scale decision.

When should I narrow my product to a stronger segment instead of scaling?

You should narrow your segment when cohort retention is weak overall but strong within a specific user group. This Skill identifies segment-specific product market fit by analyzing your retention data and customer validation signals to recommend focusing on a narrower audience before attempting to scale.