When test reporting is manual, teams spend more time preparing status updates than resolving product risk. Metrics become stale and release calls turn subjective.
Testream publishes test outcomes from your CI pipeline into a reporting surface that maps to Jira projects, releases, and issue workflows.
You get one place to inspect failures, monitor trend direction, and explain release health with concrete evidence.
Reporting gaps that block delivery confidence
- Manual reporting causes delays between run completion and stakeholder visibility.
- Point-in-time summaries hide flakiness and regression patterns.
- Jira decisions happen without direct test context attached to the project timeline.
- Incident reviews lack a consistent trail of test history and artifacts.
Reporting workflow with Testream
Step 1
Connect your native reporters
Use supported native reporters so your frameworks send results automatically with minimal setup.
Step 2
Upload results from CI
Send results from CI automatically and include artifacts when needed.
Step 3
Review dashboards and run detail
Inspect summary cards, trends, and deep run-level diagnostics with links to failures and evidence.
Step 4
Share release quality status
Use objective reporting data to communicate readiness inside Jira planning, sprint review, and release planning.
Frequently asked questions
Can I report both unit and end-to-end tests together?
Yes. Testream supports multiple frameworks and lets you centralize reporting in one Jira-aligned quality view.
Will this replace Jira issue tracking?
No. Jira remains your planning and issue system. Testream adds structured test reporting data to support better decisions.
Can we include artifacts in reports?
Yes. Teams can upload artifacts such as screenshots and traces so failure analysis is faster and more accurate.
Is historical trend reporting available?
Yes. Testream provides trend visibility across custom windows so you can track whether quality is improving or regressing.
Does reporting work with CI/CD pipelines?
Yes. The integration pattern is CI-first, with reporters and upload tooling built for automated pipeline execution.
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