Insight Summarization AI

Why it matters

• Reduces time spent sorting through feedback
• Gets everyone aligned quickly
• Makes research findings easier to absorb
• Leads to better product decisions
• Keeps discovery cycles moving fast

How it works

The AI groups together feedback that expresses similar themes, then creates a summary that shows:

• the main issue
• what’s causing it
• why it’s important to users
• how it impacts their workflow

Examples

• “Onboarding confusing” becomes “Users have trouble with setup.”
• “Search filters missing” turns into “Customers need improved filtering options.”
• “Slow on mobile” shows up as “Mobile performance problems are causing disengagement.”

Use cases

• Quarterly planning
• Setting UX priorities
• Reporting to stakeholders
• Sprint preparation
• Analyzing discovery research

How Usersnap (Airis) helps

Airis gathers feedback from screenshots, videos, and surveys. It quickly turns all this raw data into actionable feedback insights, so your team can respond faster.