Can I use this skill to define my long-term product roadmap?

While this skill informs your roadmap by highlighting gaps in PMF, for comprehensive long-term strategic direction, you should use the dedicated product-strategy skill.

What are the primary signals of PMF beyond surveys?

Strong signals include a retention rate over 40% at day 30, high organic word-of-mouth growth, and users returning to the product consistently without external prompts or paid triggers.

What is the 40% rule for Product-Market Fit?

It is a benchmark stating that if 40% or more of your surveyed users would be 'very disappointed' if they could no longer use your product, you have likely achieved PMF and are ready to scale.

How does the PMF Engine help improve my product?

The PMF Engine identifies your High-Expectation Customers (HXC) and provides a framework to prioritize features that specifically convert 'somewhat disappointed' users into 'very disappointed' ones.

Product-Market Fit Evaluator

Name: Product-Market Fit Evaluator
Author: petrogurcak

bypetrogurcak

0•

Analíticas y Monitorización

Evaluates and improves product-market fit using proven frameworks like the PMF Survey, PMF Engine, and Crossing the Chasm.

This skill provides a structured methodology for determining if a product has achieved product-market fit (PMF) before investing in growth. It integrates industry-standard frameworks, including Sean Ellis's 40% disappointment test and Rahul Vohra’s PMF Engine, to help teams identify their High-Expectation Customers (HXC), analyze retention gaps, and prioritize features that drive core value. It is particularly useful for startups and product teams facing high churn or deciding whether to scale operations, increase marketing spend, or pursue fundraising.

Características Principales

010 GitHub stars

02Qualitative and quantitative signal analysis for retention and churn

03Dan Olsen's PMF Pyramid for foundational product-market alignment

04Crossing the Chasm strategies for B2B technology adoption segments

05PMF Engine for systematic score improvement and HXC profiling

06PMF Survey benchmarking (Sean Ellis 40% disappointment test)

Casos de Uso

01Diagnosing high churn rates and identifying gaps in core value delivery

02Segmenting user feedback to focus on high-expectation customer needs

03Determining if a product is ready for scaling and marketing investment

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add petrogurcak/skills product-market-fit

For use in Claude.ai and ChatGPT

Características Principales

010 GitHub stars

02Qualitative and quantitative signal analysis for retention and churn

03Dan Olsen's PMF Pyramid for foundational product-market alignment

04Crossing the Chasm strategies for B2B technology adoption segments

05PMF Engine for systematic score improvement and HXC profiling

06PMF Survey benchmarking (Sean Ellis 40% disappointment test)

Casos de Uso

01Diagnosing high churn rates and identifying gaps in core value delivery

02Segmenting user feedback to focus on high-expectation customer needs

03Determining if a product is ready for scaling and marketing investment

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add petrogurcak/skills product-market-fit

For use in Claude.ai and ChatGPT