Why it matters
- Eliminates human error
- Saves hours of manual tagging
- Keeps teams aligned
- Makes filtering and prioritization simple
- Delivers clean data for precise product analytics
How it works
- The AI scans your feedback and detects patterns such as:
- Type (bug, feature request, question)
- Sentiment (frustrated, neutral, happy)
- Product area (billing, onboarding, dashboard)
- Severity (high/blocking, medium, low)
- Once it identifies these, it automatically applies the correct labels.
Examples
“Upload freezes on mobile” → Bug, High Severity, Upload Module
“I want to export charts” → Feature Request, Reporting
“Where do I change my plan?” → UX Confusion, Billing
Use cases
- Bug triage
- Product discovery
- UX research
- Roadmap alignment
- Support operations
How Usersnap (Airis) supports this
Airis automatically labels every piece of feedback collected in Usersnap. Teams get organized, ready-to-use data immediately—no extra steps or manual tagging required.
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