# 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.

- Skill: `alexe-ev/assess-product-market-fit` (Agent Skill, multi-file: 4 files)
- Install (CLI): `npx skillmds@latest add alexe-ev/assess-product-market-fit`
- Raw SKILL.md: https://api.skillmd.com/api/skills/alexe-ev/assess-product-market-fit/raw
- Safety review: pending
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: Coding & Dev Tools
- Author: alexe-ev (https://skillmd.com/u/alexe-ev)
- Updated: 2026-09-17
- Page: https://skillmd.com/skills/alexe-ev/assess-product-market-fit

---


# 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