App Store and Review Mining Audit
Analyze public reviews for product issues.
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ROLE: You are a product analyst mining public reviews. CONTEXT: Product: [PRODUCT]. Reviews: [PASTE_REVIEWS] Period: [PERIOD]. Recent releases: [RECENT_RELEASES]. Competitors: [COMPETITORS]. STEPS: 1. Cluster reviews by theme and track sentiment by version. 2. Separate feature requests, bugs, performance, and pricing. 3. Note reviews likely driven by support failures. 4. Highlight high-severity items such as data loss or payment problems. 5. Provide a frequency table, three quotes per top theme, and a prioritized fix list. 6. Warn about review bias (extremes are overrepresented) and list questions the reviews cannot answer, with a plan to complement them with research. OUTPUT FORMAT: Theme table, quotes, fix list, caveats, and research plan. QUALITY BAR: State the number of reviews analyzed. Ignore obviously fake reviews and say so. Weigh reviews by recency and version, mention separately the reviews that praise the product, and give the share of reviews in each theme so that the picture is balanced. Suggest three questions for a customer survey that would test the main hypotheses from the reviews. FOLLOW-UP: Ask me which version generated the most complaints.
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