Hear what your users are actually saying.
nsight extracts representative quotes, user personas, top complaints, and positive highlights from your reviews, so the voice of your customer is structured and actionable.
App store reviews contain real user feedback, but reading them one by one is slow and the patterns are hard to see. You need the signal without the noise.
nsight analyzes your reviews and organizes the voice of your customer into structured sections: representative quotes balanced between praise and complaints, AI-generated user personas that describe who your users are and what they care about, ranked lists of top complaints and highlights, and a critical issues matrix sorted by severity. You can also browse and filter every individual review by rating, sentiment, platform, and keyword.
How it works
- 1
Generate a report and the AI reads every scraped review. It selects 6 to 12 representative quotes (scaled by review volume), balanced between complaints and praise.
- 2
The AI identifies 4 to 8 user personas, each with a name, percentage of the user base, and a description of their behavior and needs.
- 3
Top complaints and positive highlights are extracted with estimated counts, and critical issues are ranked by severity and frequency.
- 4
The full review list is available with filters for rating, sentiment, platform, and full-text search, so you can inspect any review that informed the analysis.
Why it matters
Structured, not raw
Hundreds of reviews become ranked themes, named personas, and representative quotes you can share in a meeting.
Balanced perspective
Quotes include both complaints and praise, so you see the full picture, not just the loudest voices.
Drill down when you need to
Filter and search the full review list by rating, sentiment, platform, or keyword to verify any finding.
See what your reviews are saying
Generate your first feedback intelligence report free, no credit card required.
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