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Assess product market fit

Skill alexe-ev/product-plugins/product-strategy/skills/assess-product-market-fit

Evaluate how well a product or feature addresses real market needs and identify gaps or risks in product-market fit. Use this skill when a team needs to understand whether their product resonates with the target market.From its SKILL.md

Install
npx -y skills add alexe-ev/product-plugins --skill assess-product-market-fit

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SKILL.md

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Assess Product-Market Fit

Purpose

Evaluate current product-market fit signals, identify gaps, and provide a structured view of where fit is strong, weak, or unknown.

Skill type

Conceptual skill with diagnostic output

Use this skill when

  • A team is unsure whether they have found product-market fit
  • A new product or feature is being evaluated before scaling
  • There are mixed signals from retention, growth, or user feedback
  • Leadership wants a structured fit assessment before major investment

Do not use this skill when

  • The team needs vision or mission work (use define-product-vision)
  • The team needs competitive differentiation (use frame-competitive-differentiation)
  • The goal is roadmap prioritization, not fit assessment

Required inputs

  • Product description or area
  • Target segment
  • Available signals (retention data, NPS, qualitative feedback, growth metrics — even rough)

Optional inputs

  • Churn rates or reasons
  • User interview summaries
  • Comparison to competitors
  • Business model context

Upstream context

Works best when:

  • Product vision is already defined
  • Target segment is identified
  • Some behavioral or attitudinal data exists

If upstream context is missing

If no signals are available, do not fabricate a fit assessment. Produce a framework for what signals should be collected first.

Downstream handoff

Output can feed:

  • build-portfolio-roadmap-strategy (adjust investment based on fit)
  • frame-competitive-differentiation (strengthen fit through positioning)

Instructions

  1. Identify available fit signals (retention, engagement, qualitative feedback, NPS/CSAT, growth pattern).
  2. Classify each signal as strong / weak / missing.
  3. Assess overall fit level: pre-fit / early signals / strong signals / confirmed fit.
  4. Identify the biggest gaps or risks to fit.
  5. Recommend next steps to validate or strengthen fit.

Output

Provide:

  • Fit assessment level: pre-fit / early signals / strong signals / confirmed fit
  • Key signals supporting the assessment
  • Gaps and risks
  • Recommended next steps
  • Confidence level in the assessment

Risks / caveats

  • Do not declare product-market fit from a single metric
  • Retention and qualitative resonance are stronger signals than vanity growth metrics
  • Be explicit when data is too thin to support a conclusion

What ships with it: 3 files

4.3 KB alongside SKILL.md

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