Product Market Fit Analysis

This is a comprehensive framework that walks you through measuring whether you've actually hit product-market fit. It centers on the Sean Ellis 40% "very disappointed" benchmark and retention curve analysis, then layers in reference customer counts, segment-specific fit assessment, and the critical insight that true PMF requires both retention and scalable distribution. Use it when you're running PMF surveys, analyzing cohort retention, or deciding whether to scale or keep iterating. The diagnostic questions and decision matrices are legitimately useful for cutting through the hype. One caveat: the workspace context at the top references brand.md and content planning files that seem copied from a different use case, so ignore that part and jump straight to the PMF frameworks.

skills.sh installs: 249
GitHub stars: 110
last updated: Aug 21, 2026

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Install

$ npx -y skills add manojbajaj95/claude-gtm-plugin --skill product-market-fit-analysis --agent claude-code

Installs into .claude/skills of the current project.

Files

Product Market Fit Analysis

Workspace Context

Read bootstrap context before asking questions: strategy/brand.md for brand, audience, offer, channels, tools, constraints, and metrics; about/me.md for personal voice; content/ideas.md and content/calendar.md for content planning. Use legacy product-marketing context files only as fallback. Save generated drafts to content/<platform>/drafts/YYYY-MM-DD_short-topic-slug.md, and route durable learnings back to strategy/brand.md, about/me.md, or content/ideas.md.

Operating Contract

This skill is self-contained for its frontmatter scope: use its local instructions, references, scripts, and assets as the playbook; ask only for missing task-specific inputs; hand off to adjacent skills instead of expanding scope; and return an actionable artifact, decision, plan, draft, or diagnostic.

Comprehensive framework for assessing, achieving, and scaling product-market fit.