Turn product signals into GitHub-ready work
Map product evidence to code—findings, affected files, implementation notes, and verification KPIs in GitHub.
Product data preview
Signals to agent context
Funnels, instrumentation, and evidence your coding agent can act on.
Connect analytics evidence with GitHub issues, pull requests, file context, and verification metrics for coding-agent workflows.
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.
- Teams triaging growth work in GitHub
- Agents needing files and verification metrics
- Products attaching analytics evidence to tasks
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.
- Query the signal from AnalyticsCLI or connected sources.
- Map findings to repository files and surfaces.
- Draft a GitHub issue or PR task with evidence.
- Verify the change against release analytics.
What you get back
The output should be concrete enough to review without opening five dashboards.
- GitHub is a core Growth Engineer context source.
- Outputs: issues, PR tasks, or notifications.
- Evidence and KPIs travel with the work.
Common questions
Quick answers before you connect product data to an agent.
Does AnalyticsCLI need repository access?
Optional but useful—better handoffs when GitHub context is connected.
Can it open pull requests automatically?
It can draft PR tasks; automation depends on your agent and repo permissions.
Can I use issues only?
Yes—issues are the natural output for evidence-backed growth work.