Use Case
Signal Prioritization
Stop manually reviewing 200 Sentry errors one by one. SignalManager acts as a decision intelligence layer — grouping signals by root cause, scoring severity, and feeding prioritized work items into your PM workflow.
The Problem
It is Monday standup. Your team reports they spent 3 hours manually reviewing weekend Sentry errors instead of working on the sprint goal. Meanwhile, a P1 customer-facing bug sat in the queue untouched because it was buried under 200 duplicate alerts. As a manager, you had no way to know until the damage was done.
Manually reviewing each error, checking stack traces, and deciding what matters takes hours. By the time someone creates a ticket, half the morning is gone — and you still might have missed the one that actually matters.
The Solution
SignalManager AI ingests your Sentry errors in real time, groups them by root cause using stack trace analysis, and assigns a severity score based on frequency, user impact, and recency. Prioritized work items flow directly into your PM workflow.
- Root-cause grouping -- 200 errors become 8 distinct issues
- Severity scoring -- critical issues float to the top automatically
- Prioritized work items -- one item per root cause with full context, not per error
How It Works
Connect Sentry
Point SignalManager at your Sentry project. Errors start flowing in within seconds.
AI Prioritizes and Scores
Errors are clustered by stack trace similarity, scored by impact, and deduplicated automatically.
Decisions Delivered
One prioritized work item per root cause is created in GitHub Issues or Jira, with error counts, affected users, and suggested fixes.
Results
Saved per week on manual review
Noise reduction in error alerts
Critical errors missed
P1 response: from signal to assignment on critical issues
Stop drowning in error noise
Connect Sentry and let SignalManager prioritize your signals so your team can focus on fixing what matters.