Release confidence from real test evidence
No manual test-case setup
Testream brings automated test results, failures, artifacts, commits, trends, and release context into Jira, without having to maintain manual Jira test cases.
Explore more use cases: Jira test management software, Jira test reporting software, and sending CI/CD test results to Jira.
Link failures directly to Jira issues without rewriting what the run already knows.
The same evidence rolls into recent test runs, release views, and trend dashboards.
Instead of treating QA as a separate manual process, Testream makes it a core part of how your development cycle and releases in Jira.
Manual test-case setup slows automation
QA tracks quality across separate tools
Flakiness hides until it blocks delivery
Jira issues show work status, but not test signal
Acceptance criteria is separated from test evidence
Code-first reporting works with existing automated tests
All test metadata stay connected with Jira issues and releases
Flaky tests become visible patterns
Jira issues show linked run status, branch, commit, and suite changes
BDD scenarios can be assessed against captured automated evidence
Traditional test management starts by creating and maintaining a manual test-case layer in Jira. Testream starts where your automated tests already live: your codebase and CI pipeline. Publish results directly from the test runner and let Testream handle the rest.
Connect the framework your team already uses, publish one test run from local development or CI, and confirm the evidence in Jira before changing the rest of your workflow.
Testream turns automated test runs into Jira context your whole team can use: issue summaries, failure evidence, trend signals, and release views connected to real runs.
Testream enriches Jira issues with the automated runs connected to that work, so product, QA, and engineering can see whether related tests passed, failed, or changed.
Compared against trunk baseline (main)
Testream keeps errors, stack traces, artifacts, and issue creation connected, so teams can move from a failed run to a useful Jira ticket without rewriting the failure by hand.
Track pass-rate movement, flaky behavior, suite growth, and timing changes over time, tied to the Jira projects and releases your team already follows.
When test runs are linked to Jira releases, teams can review readiness from real automated runs instead of stale spreadsheets, screenshots, or subjective status updates.
Testream uses Rovo where AI is useful: helping teams configure the first Jira connection, then comparing Jira issue requirements with the evidence captured from automated tests.
The Testream Setup Agent helps your team pick the right reporter, prepare CI guidance, configure the Testream project API key, and verify that a real test run reached Jira.
Testream BDD Specs helps teams draft, improve, and assess Gherkin scenarios on Jira issues so expected behavior can be compared with real automated tests.
Coverage is confirmed because a linked automated test passed with strong scenario alignment and matching branch provenance.
Start by reducing setup guesswork. Then use Testream BDD Specs to make coverage reviews evidence-based inside Jira.
Testream does not replace your automated tests. It amplifies them, turning results from every layer of your test suite into clear, actionable Jira evidence.
Testream is for teams making automation the center of their quality process: shifting test evidence left, reducing manual test maintenance, and giving everyone one Jira-native place to understand quality across the delivery lifecycle.
Test visibility should not be limited to a handful of paid seats. Start with one Jira project for free, then scale as more teams bring automated test evidence into Jira.
Connect Testream, publish your first run, and give engineering, QA, product, and release teams one shared quality signal without manual test-case setup.
