# Review Analysis

> Analyze customer reviews, complaints, and feedback to find patterns, root causes, and action priorities. Use when summarizing reviews for products or services, clustering repeat complaints, extracting product strengths/weaknesses, identifying refund drivers, or turning messy feedback into a concise decision-ready report.

- Skill: `dvcrn/review-analysis` (Agent Skill, multi-file: 2 files)
- Install (CLI): `npx skillmds@latest add dvcrn/review-analysis`
- Raw SKILL.md: https://api.skillmd.com/api/skills/dvcrn/review-analysis/raw
- Safety review: pending (external: skill-scanner PASS, skillspector PASS)
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: Docs & Writing
- Author: dvcrn (https://skillmd.com/u/dvcrn)
- Updated: 2026-09-08
- Page: https://skillmd.com/skills/dvcrn/review-analysis

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# Review Analysis

Turn messy feedback into a short decision memo.

## Workflow

1. Define the review set.
   - marketplace reviews
   - app reviews
   - support complaints
   - refund / return notes

2. Group the feedback.
   - product quality
   - expectation mismatch
   - shipping / service
   - feature gaps
   - trust / claim issues

3. Identify patterns.
   - frequency
   - severity
   - likely root cause
   - whether the issue belongs to product, content, offer, or operations

4. Recommend actions.
   - fix now
   - monitor
   - rewrite messaging
   - escalate to product / ops

## Output format

Return:
- top patterns
- evidence snippets
- likely root cause
- severity / urgency
- recommended actions

## Quality bar

- Separate loud anecdotes from repeat patterns.
- Keep evidence snippets short and representative.
- Distinguish product issues from expectation-setting issues.
- Avoid over-claiming root cause certainty.

## Resources

Read `references/output-template.md` for the standard report layout.