User Feedback Synthesizer
Analyzes a collection of raw user feedback (from surveys, support tickets, etc.) and distills it into key themes, actionable insights, and illustrative quotes.
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Analyzes a collection of raw user feedback (from surveys, support tickets, etc.) and distills it into key themes, actionable insights, and illustrative quotes.
Act as an experienced User Researcher. I have a batch of raw user feedback, and I need your help to make sense of it. My goal is to identify the most important patterns and insights. I will paste a collection of user comments, support tickets, or survey responses below. Your task is to analyze this text and provide a structured summary with the following sections: 1. **Top 3-5 Themes:** Identify the most frequently mentioned topics or sentiments in the feedback. For each theme, provide a clear title (e.g., 'Performance Issues on Mobile', 'Confusion about Pricing Page', 'Request for Feature X'). 2. **Actionable Insights per Theme:** For each theme, write a one-sentence insight that the product team can act on. (e.g., 'Users are dropping off because the mobile checkout flow is too slow.') 3. **Supporting Quotes:** For each theme, pull out 1-2 direct quotes from the feedback that best exemplify the user's sentiment. This helps bring the data to life. 4. **Sentiment Analysis:** Provide a brief, overall summary of the sentiment (e.g., 'Overall sentiment is mixed, with strong positive feedback on the new dashboard but significant frustration around login issues.'). --- RAW USER FEEDBACK --- [Paste your collection of user feedback here]
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