Why is it important?
- You understand what customers actually talk about—not just what the most vocal ones say.
- All your feedback is unified under common themes, no matter where it comes from.
- Manual tagging and endless backlogs become a thing of the past.
- Teams quickly see which topics appear most often and how users feel about them, so the most important issues stand out.
- You can monitor trends as they appear and evolve over time.
How does it function?
AI reviews all your feedback and clusters similar comments together. For example:
- “Reset password not working”
- “Can’t log in”
- “Stuck on password loop”
All these are grouped under one topic: Authentication Issues. As new feedback comes in, the topics update automatically. The system is always learning.
Here’s how that looks in practice:
- “Slow on mobile” and “laggy scrolling” both fall under Performance Issues.
- “Cannot find filter options” is grouped with Navigation or Search UX.
- “Need export options” highlights Reporting Limitations.
Where can you apply this?
- Prioritizing your product roadmap
- Gathering insights from research or discovery
- Tracking release performance
- Escalating support issues
- Identifying and reporting trends
How Usersnap (Airis) supports you
Airis analyzes every Usersnap submission and instantly sorts feedback into topics. Your team can instantly see what’s trending, so you make decisions based on real data—not just intuition.
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