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/review-miner

by Aera · Data

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Mine reviews for customer pains, objections, feature requests, and positioning insights.

reviewsvoice of customerproduct researchsentimentinsights
SKILL.md
# Review Miner

Use this skill to turn customer reviews, testimonials, app store reviews, marketplace reviews, or community comments into product and marketing insights.

## Inputs

Use the current review page, product page, or open tabs. If the user names a product but provides no page, search for public review sources. Ask for a target product only if unclear.

## Process

1. Identify the product, service, app, or company being reviewed.
2. Collect a representative sample of reviews or comments from visible pages. If the user requests scale, inspect pagination or additional sources.
3. Extract review text, rating, date, source, product version or plan if visible, and reviewer segment if visible.
4. Cluster feedback into themes: pains, desired outcomes, objections, favorite features, missing features, switching triggers, support issues, pricing concerns, and language customers repeat.
5. Pull short representative quotes. Keep quotes brief and only from inspected sources.
6. Rank themes by frequency, severity, and business opportunity.
7. Translate findings into product, marketing, sales, and support recommendations.

## Output Format

## Sample Summary
State sources checked, approximate review count, rating range if visible, and caveats.

## Top Themes
Use a table with columns: theme, sentiment, evidence, representative quote, frequency signal, opportunity.

## Customer Language To Reuse
List phrases customers use that could inform copy or positioning.

## Product Opportunities
List feature, onboarding, pricing, or support improvements.

## Messaging Opportunities
List claims, objections, and proof points for marketing or sales.

## Rules

- Do not quote long copyrighted passages.
- Do not expose private personal data.
- Do not imply statistical certainty from a small sample.
- Do not use em dashes.