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    Product Market Fit Evaluator

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

    Updated May 2026
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    One-time purchase

    $25

    · or 125 credits

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    Included in download

    • Calculate a standardized PMF score based on multi-stream data points
    • Identify why users are "somewhat disappointed" and how to convert them
    • Includes example output and usage patterns
    • Instant install
    • One-time purchase

    See it in action

    A real example of what this skill takes in and produces.

    Sample output

    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

    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.

    Use Cases

    • Calculate a standardized PMF score based on multi-stream data points
    • Identify why users are "somewhat disappointed" and how to convert them
    • Determine if a product is ready for scaling or requires a strategic pivot
    • Design high-signal JTBD interview guides to uncover hidden customer pains

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    Frequently Asked Questions