Prioritize product fixes with Sentry and analytics context
Prioritize crashes by product impact—Sentry diagnostics plus AnalyticsCLI funnels and journeys.
Product data preview
Signals to agent context
Funnels, instrumentation, and evidence your coding agent can act on.
Combine Sentry crashes, errors, and performance signals with product analytics so agents can prioritize fixes by user impact.
Who this is for
Start here if the problem below sounds familiar. You do not need every connector on day one—just enough signal for the Growth Engineer to propose work you can review.
- Crashes affecting onboarding, paywalls, or retention
- Teams ranking reliability by user impact
- Agents needing error evidence and release context
How it works
The loop is the same across guides: connect evidence, let the agent read it, then ship a reviewed task with a verification metric.
- Collect crashes and performance data in Sentry.
- Track product journeys in AnalyticsCLI.
- Correlate reliability with releases and funnels.
- Create a fix task with impact and verification metric.
What you get back
The output should be concrete enough to review without opening five dashboards.
- Sentry is a core Growth Engineer signal source.
- Release correlation built into the workflow.
- Handoffs include affected files and KPIs.
Common questions
Quick answers before you connect product data to an agent.
Does this replace Sentry?
No—Sentry stays the diagnostics source; AnalyticsCLI adds product context.
Can the agent rank crash fixes?
Yes—by product impact when analytics and Sentry signals connect.
Can it analyze release impact?
Yes—release context plus analytics and Sentry data.