How AI Triage Cuts Feedback Noise by 80%
The Noise Problem
Your users are talking to you. That's the good news.
The bad news? Most of what they're saying is duplicate, vague, or already fixed in the latest release.
We analyzed 50,000 feedback submissions across SOLO customers and found a consistent pattern: only 20% of raw feedback contains actionable, unique information.
The other 80% breaks down like this:
If your team is manually reading every submission, 80% of their time is wasted on noise.
What Is AI Triage?
AI triage is the process of automatically categorizing, scoring, and routing feedback submissions before a human sees them.
When a new submission arrives, our triage system:
All of this happens in under 2 seconds.
Deduplication: The Biggest Win
Manual deduplication is soul-crushing work. You read feedback A, then feedback B, and think "wait, isn't this the same thing someone reported yesterday?" Then you scroll back through Slack or Jira trying to find it.
Our deduplication uses embedding-based semantic similarity. It doesn't match exact words — it matches meaning.
These all map to the same issue:
The system clusters them automatically and shows you a single entry with a count: "Safari authentication issue — 4 reports"
Priority Scoring That Actually Works
Not all bugs are equal. A typo on your about page is not the same as a payment flow crash.
Our scoring model weighs:
A submission scoring 80+ is flagged as urgent and can trigger an automatic agent run.
Smart Routing
Once categorized and scored, submissions are routed:
This means your team only handles the 50-79 range manually. Everything else is either automated or filtered.
The Results
Customers using AI triage report:
The last metric is the most important. Aggressive filtering is only useful if it never drops a real issue.
Setting It Up
AI triage is included in all SOLO plans. It activates automatically when you create your first feedback tenant:
No configuration needed. The model adapts to your repo's patterns over time.
SOLO's AI triage surfaces only what matters. Stop drowning in feedback noise.
- 35% duplicates — Same issue reported by multiple users
- 25% vague — "It doesn't work" with no context
- 12% already resolved — Fixed in a recent deploy the user hasn't received yet
- 8% out of scope — Feature requests for products you don't build
- "Login button doesn't work on Safari"
- "Can't sign in using my Mac browser"
- "Auth is broken on webkit"
- "Clicking sign-in does nothing (macOS, Safari 18)"
- Severity keywords — "crash," "data loss," "can't pay" score higher than "slow" or "ugly"
- Affected area — Auth, payments, and onboarding issues get a 2x multiplier
- User context — Paying customers score higher than trial users (harsh but true)
- Frequency — More duplicates = higher priority
- Recency — Recent regressions score higher than long-standing annoyances
- Score 80+ — Agent auto-generates a PR (if enabled)
- Score 50-79 — Appears in your priority inbox for human review
- Score 20-49 — Batched into a weekly summary
- Score 0-19 — Auto-closed with a thank-you response
- 82% reduction in time spent reading feedback
- 3.2x faster response time to critical issues
- 67% fewer duplicate tickets in their backlog
- Zero critical issues missed (false negative rate: 0% in Q1 2026)