Product Market Fit Evaluator

    2

    Evaluate and diagnose Product-Market Fit using a multi-stage evidence ladder and expert measurement frameworks.

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    Works with the AI tools you already use

    Claude CodeClaude CodeCursorCursorCodex CLICodex CLIGitHub CopilotGitHub CopilotGemini CLIGemini CLI+18 more

    Product Market Fit Evaluator

    Example session with this skill installed

    Audit my current product-market fit. I have 15 JTBD interview notes and a recent Must-Have survey where 28% were very disappointed. What is my score and decision?

    • Read your context and instructions
    • Compiled the product market fit

    PMF SCORE: 54/100 | Emerging Fit | Confidence: Medium

    Rung Score Notes
    Problem Fit 16/20 JTBD interviews confirm urgent pain in solo-founder segment
    Solution Resonance 12/20 Must-have survey at 28%; "somewhat disappointed" users cite UI friction
    ...
    Decision: HOLD & ITERATE

    Connects securely to your tools. The creator never sees your data.

    What you get

    Calculate a standardized PMF score based on multi-stream data pointsIdentify why users are "somewhat disappointed" and how to convert themDetermine if a product is ready for scaling or requires a strategic pivotDesign high-signal JTBD interview guides to uncover hidden customer pains

    About this skill

    Unlocking Product-Market Fit with Data-Driven Rigor

    Most teams fail because they scale before they have proof of stickiness. The PMF Evaluator is a specialized skill for developers, founders, and product agents to diagnose, measure, and improve Product-Market Fit (PMF) using a structured "Evidence Ladder." It moves beyond gut feeling by triangulating qualitative interviews, behavioral analytics, and structured surveys.

    What it does

    • Audit Evidence: Analyzes your current metrics, interview notes, or survey results against five key rungs: Problem Fit, Solution Resonance, Behavioral Proof, Economic Proof, and Expansion Proof.
    • Run Structured Surveys: Generates and analyzes "Must-Have" surveys (Ellis/Vohra method) to identify the "very disappointed" user segment.
    • Interpret Hard Metrics: Evaluates retention cohorts, DAU/MAU, NDR, and LTV/CAC against industry benchmarks to separate vanity metrics from true growth.
    • Draft Roadmaps: Identifies the exact bottleneck in your funnel and provides a "Go/Hold/Pivot" recommendation with a prioritized action plan.

    Why use this skill

    Prompting an AI to "analyze my PMF" usually results in generic advice. This skill implements specific frameworks from industry experts like Sean Ellis, Rahul Vohra, and Marty Cagan. It forces a rigorous segmentation check (one segment, one job) and produces a standardized PMF Scorecard. The output isn't just prose—it's a diagnostic report that identifies exactly which layer of your product strategy is leaking value.

    How to install

    Works the same in every agent - Claude, Cursor, Codex, Copilot and 20+ more.

    ~30 seconds
    1. 1

      Download the ZIP

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    2. 2

      Unzip into your skills folder

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    3. 3

      Ask your agent to use it

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    Recently published to Agensi

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