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product-market-fit

Measure and diagnose product-market fit using retention cohorts, Sean Ellis testing, and qualitative signals.

11|1|Updated Jan 16, 2026
Search Tags:#analytics#surveys#growth#retention#cohorts#pmf#product-market-fit
One-click install
npx skills add https://github.com/sunnypatneedi/claude-starter-kit --skill product-market-fit-sunnypatneedi
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: product-market-fit
Source: https://github.com/sunnypatneedi/claude-starter-kit/tree/main/skills/business/product-market-fit
Command: npx skills add https://github.com/sunnypatneedi/claude-starter-kit --skill product-market-fit-sunnypatneedi

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

PMF is hard to assess with intuition alone. This Skill provides a structured framework to measure, diagnose, and monitor product-market fit across different product types using retention data, surveys, engagement metrics, and qualitative signals.

Core Features & Use Cases

  • PMF Metrics: Primary and secondary metrics for B2C, B2B, and marketplace products (retention cohorts, NRR, engagement, virality).
  • Sean Ellis Test: Runs the 40% rule to gauge willingness to continue using the product.
  • Retention Cohort Analysis: Create cohort tables to spot trends and flattening curves.
  • Qualitative Signals: Collect and interpret user sentiment, advocacy, and demand signals to inform PMF.
  • PMF Stages & Anti-Patterns: Diagnose PMF stage and identify common mistakes, with recommended interventions.
  • PMF Dashboard: Simple weekly check-ins combining quantitative and qualitative signals.

Quick Start

Run a PMF assessment on my SaaS product using current cohort data, survey responses, and engagement metrics to generate a stage and prioritized actions.

Frequently Asked Questions about product-market-fit

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

FAQPage Schema
How do I measure product-market fit for a B2B SaaS product?▼

Measure product-market fit for B2B SaaS by analyzing retention cohorts, Net Revenue Retention (NRR), and engagement metrics. This diagnostic framework maps quantitative data against qualitative signals to gauge your PMF stage and recommend feature prioritization actions.

What is the Sean Ellis test and how does it gauge PMF?▼

The Sean Ellis test gauges PMF by measuring the percentage of users who would be very disappointed to lose your product. This Skill applies the 40% rule to survey responses, interpreting willingness to continue using the product as a core product-market fit signal.

How do I use retention cohort analysis to diagnose PMF?▼

Use retention cohort analysis to diagnose PMF by generating cohort tables that spot trends and flattening curves. This Skill interprets flattening retention curves alongside qualitative user sentiment signals to identify your current PMF stage and common anti-patterns.

Can I assess product-market fit for both B2C and marketplace products?▼

Yes, you can assess product-market fit for B2C and marketplace products. The framework evaluates primary and secondary metrics specific to each model, including engagement, virality, and retention cohorts, to interpret user demand and generate targeted growth interventions.

What's the best way to monitor product-market fit signals weekly?▼

The best way to monitor product-market fit weekly is by using a lightweight PMF dashboard. It combines quantitative retention metrics with qualitative survey signals, enabling simple weekly check-ins to track PMF progression and inform ongoing onboarding iterations.

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