Quantify product-market fit and translate feedback into a prioritized roadmap.
npx skills add https://github.com/wdavidturner/product-skills --skill pmf-survey
Please help me install this Agent Skill. Skill: pmf-survey Source: https://github.com/wdavidturner/product-skills/tree/main/skills/pmf-survey Command: npx skills add https://github.com/wdavidturner/product-skills --skill pmf-survey
PMF measurement is essential for understanding whether your product truly fits the market. This Skill provides a repeatable method to quantify product-market fit using the core dependence question and translates the results into a prioritized roadmap.
Run the PMF Survey template on eligible users who have experienced the core value, compute the PMF score, segment results by the three groups, identify the HXC, and draft a concise 4-week roadmap focused on protecting the core value while converting fence-sitters.
High-intent search queries and answers about installing and using this skill.
Product-market fit surveys ask the core dependence question to categorize users into Very Disappointed, Somewhat Disappointed, and Not Disappointed groups. This approach, using the Sean Ellis method, helps identify your High-Expectation Customer and Ideal Customer Profile.
Translate PMF survey results into a roadmap by applying the PMF Engine, allocating roughly 50% effort to doubling down on loved features and 50% to removing blockers for fence-sitters. This process drafts a concise 4-week roadmap focused on protecting core value.
The Sean Ellis method for PMF segmentation uses the core dependence question to measure the percentage of Very Disappointed users. It identifies the High-Expectation Customer from this group to reveal the Ideal Customer Profile for targeted growth.
Run a product-market fit survey on eligible users who have already experienced your product's core value. Using provided templates and playbooks, run the survey consistently over time to establish a repeatable method for tracking PMF progress.
Yes, you can use the PMF Engine for feature prioritization by allocating development effort roughly 50% to doubling down on features loved by the High-Expectation Customer and 50% to removing blockers for Somewhat Disappointed fence-sitters.
mfwarrenCollects and interprets user signals to determine product-market fit.
luisschmitzheadlineDiagnose product-market fit and plan systematic improvements for B2B SaaS.
abhishekchoudhariDefine and refine Ideal Customer Profiles from customer research data.
Andy-HNUGuides users through PMF frameworks including Sean Ellis surveys and retention analysis.
