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Customer Feedback Synthesis Report

Table output Has example

Combine reviews, tickets, and survey comments into insights.

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Combine reviews, tickets, and survey comments into one insight report. Product: [PRODUCT]. Period: [PERIOD]. Data sources with approximate counts: [SOURCES_AND_COUNTS]. Pasted feedback samples (anonymized, labeled by source): [PASTE_FEEDBACK].

Produce the report as tables:
1. Theme table: Theme | Sources it appears in | Approximate mentions | Sentiment | Customer segment (if known) | Representative quote (verbatim) | Severity (blocker, annoying, nice to have).
2. What customers love: top five with evidence.
3. What hurts: top five problems, with a cause hypothesis and a suggested action (fix, explain better, research further).
4. Requests versus needs: feature requests rephrased as the underlying problem.
5. Differences between sources: for example, reviews versus support tickets.
6. Opportunities: three product or messaging opportunities.
7. Data quality and bias: sample limits, vocal minorities, duplicated feedback.

Add a 150-word executive summary and three questions to investigate with customer interviews. Count only what is in the data; do not extrapolate to all customers or invent quotes. Remove personal data from quotes.

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Theme | Sources | Mentions | Sentiment | Quote | Severity
Slow exports | tickets, reviews | 46 | negative | "Export spins forever on big files" | blocker
Easy setup | reviews, survey | 61 | positive | "Up and running in an afternoon" | -
Pricing confusion | survey, tickets | 33 | negative | "I can't tell which plan I'm on" | annoying
Requests as needs: "Add Slack integration" -> need: notifications where the team already works.
Differences between sources: reviews praise setup; tickets focus on export issues.
Opportunities: fix exports; add plan page in account.
Data quality: reviews skew toward new users; ticket tags inconsistent.
Executive summary (150 words) and three interview questions: "Describe the last time you needed to export data."

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• synthesis