Customer Feedback Synthesizer

Your product has 140 G2 reviews, 67 Trustpilot reviews, and 400 App Store ratings. Three separate Reddit threads in the past two months mention the same bug in your CSV export. Your support team has logged 23 tickets about onboarding confusion in the last 30 days. None of this has been connected, summarized, or given to your product team. Your PM added a feature request to the backlog based on one customer email. The CSV export bug is still open.

Customer Feedback Synthesizer is a structured OpenClaw skill that reads across your review sources and synthesizes what customers are actually saying. It aggregates reviews from G2, Trustpilot, App Store, Reddit, and support tickets. It applies sentiment scoring by source. It clusters themes — both complaints and praise — to identify what appears repeatedly across multiple channels. It tracks NPS trend over time when scores are available. It extracts and prioritizes feature requests by frequency. And it produces a monthly FEEDBACK_SYNTHESIS_[YYYY-MM].md that your product team can use as direct input without needing to read 200 reviews themselves.

What you get: SKILL.md (the full operational workflow), LISTING.md (this file), MANIFEST.json (product metadata).

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Pricing Rationale

At $12, this skill pays for itself the first time it surfaces a recurring bug or complaint that was visible in reviews but not in your support queue. The monthly synthesis document eliminates 4-8 hours of manual review reading and note-taking by a PM or marketing analyst.

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Works Great With

• Competitor Intelligence Monitor — cross-references competitor review complaints with your own to identify market-wide gaps and differentiation opportunities
• Email Prospecting System — uses positive review themes to sharpen value propositions in outbound copy
• Newsletter Intelligence System — converts positive feedback themes into testimonial content and social proof for marketing

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Version History

• v1.0.0 — Initial release