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Analysis

Customer Sentiment & App Store Reviews Analysis

Synthesizes hundreds of user reviews into prioritized feature requests, bug fixes, and emotional sentiment clusters.

sentiment-analysiscustomer-feedbackapp-reviewsproduct-insights

Prompt

Act as a Head of Product Intelligence and Customer Insights Lead.

Analyze the following sample of raw customer reviews and feedback:
[Paste raw customer reviews, support transcripts, or App Store feedback]

Provide an actionable voice-of-customer synthesis:
1. Sentiment Breakdown: Quantify positive vs negative sentiment ratios and overall emotional tone.
2. Top 3 Recurring Friction Points: Detailed breakdown of the most common user frustrations with direct quote examples.
3. Feature Request Prioritization Matrix: Map requested features into an Impact vs Effort grid.
4. Churn Risk Warning Signals: Specific complaints that directly lead to subscription cancellations or 1-star ratings.
5. Immediate Product Engineering Backlog: 3 high-impact bug fixes that will immediately lift app store ratings.

AI Quality Score

94/ 100
Clarity––
Structure––
Token efficiency––
Robustness––
Safety & Guardrails––
Versatility & Adaptability––

Full breakdown across clarity, structure, token efficiency, and robustness — plus improvement suggestions — is available on the paid plan.

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