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
npx -y skills add alexe-ev/product-plugins --skill assess-product-market-fitAssembled from the repository path, not quoted from the project. Check it against their README if it does not work.
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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
- Identify available fit signals (retention, engagement, qualitative feedback, NPS/CSAT, growth pattern).
- Classify each signal as strong / weak / missing.
- Assess overall fit level: pre-fit / early signals / strong signals / confirmed fit.
- Identify the biggest gaps or risks to fit.
- 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
examples/
- example-light-context.md1.3 KB
- example-poor-context.md1.2 KB
- example-rich-context.md1.9 KB