Introduction
This skill turns product reviews into actionable product and marketing intelligence. It removes duplicates and noise, tags sentiment, context, pain points, praise, feature requests, and segment differences, and preserves representative customer language. Frequency, severity, and business impact are evaluated separately rather than reduced to an average rating. Product, delivery, support, and usage issues are separated, with platform, version, and date retained so old reviews are not treated as current conditions.
Use Cases
Use it for ecommerce research, product improvement, detail-page copy, support analysis, competitor review comparison, and before-and-after analysis of product revisions across one or several channels.
Template
Provide review data, product and version, platform, timeframe, ratings, and questions. The output includes themes, sentiment, evidence quotations, segment differences, opportunities, risks, and priorities.
