Testsigma Test Management

tldr: Testsigma includes built-in test management with sprint planning, requirements traceability, and two-way Jira integration. It covers sanity, regression, UAT, and continuous testing workflows from a single platform. The test management module launched in mid-2025 and hit G2 Leader status by Fall 2025.

Introduction

Most test automation tools stop at execution. You write tests, you run them, you get results. For everything else (planning, organizing, tracking, reporting), you need separate tools like TestRail, Zephyr, or Xray. That's another vendor, another login, another integration to maintain.

Testsigma builds test management directly into the automation platform. Planning, creation, execution, and reporting happen in the same tool. In May 2025, they launched an AI-native test management module. By September 2025, it reached Leader status in G2's Test Management category.

If you're comparing Testsigma to BrowserStack (which sells test management as a separate product) or LambdaTest (which has no native test management), the built-in approach means one less tool in your stack.

What you get

Sprint planning

You can plan test activities aligned with dev sprints, allocate test cases to sprints, and track progress against sprint goals. If your team does two-week sprints, you can scope your test workload per sprint and see who's carrying what.

Test case organization

Organize by modules, features, or custom hierarchies. Tag tests as smoke, regression, sanity, or UAT. Version control tracks changes over time. Bulk operations handle large suite management without clicking through tests one at a time.

Requirements traceability (the Jira integration)

This is where Testsigma's test management gets interesting. The two-way Jira integration lets you:

• Link test cases to Jira user stories.
• Auto-create Jira bug tickets when tests fail, with failure details and screenshots.
• Trace the full path: requirement, test case, execution result, bug.
• Rerun tests when linked bugs are marked resolved.

For teams that need audit-ready traceability (regulated industries, enterprise compliance), this closes the loop between requirements and testing without manual bookkeeping.

Execution management

Schedule test runs manually or trigger them through CI/CD integrations. Run across staging, QA, and production environments. Parallel execution across 800+ browser/OS combos and 2,000+ real devices. Execution history lets you compare results across runs.

Reporting

Built-in execution reports with pass/fail breakdowns and trend analysis. Environment-specific reporting shows how tests perform across different setups. Exportable for stakeholder updates.

The reporting is functional but not as deep as dedicated analytics tools. Several Testsigma reviewers note this as a gap compared to BrowserStack or Sauce Labs.

How it fits the SDLC

During planning: Map test plans to upcoming sprints. Estimate effort based on historical execution data.

During development: Link tests to feature branches via CI/CD. Run targeted suites when specific modules change.

During testing: Execute sanity, regression, and UAT suites with one click or automated triggers. Track progress in real time.

At release: Gate releases on test results through pipeline integration. Generate coverage reports for release readiness.

After release: Run scheduled regression to catch production issues. Track defect trends across releases.

Testing workflows

Sanity testing

Tag tests as "sanity" and create lightweight suites that run in minutes. Trigger them from CI/CD on every build. Self-healing keeps these tests reliable without constant manual fixes. Sanity suites are your first line of defense: fast, focused, and automated.

Regression testing

Full regression suites cover your entire application. The Optimizer Agent identifies redundant tests to keep the suite lean. Parallel execution gets results back fast. The Healer Agent fixes broken tests when the UI evolves, so your regression suite doesn't rot after every release.

User acceptance testing (UAT)

UAT validates that software meets business requirements. Testsigma's codeless approach is particularly useful here: business analysts and product managers can review test steps in plain English and verify they match the acceptance criteria. No translation layer between "what the business wants" and "what the test does."

Traceability from Jira user stories to UAT results provides an audit trail for stakeholders who need proof that requirements were tested.

Continuous testing

Automated tests at every pipeline stage. See our Testsigma integrations guide for how this connects to Jenkins, Azure DevOps, GitHub Actions, and other CI/CD tools.

How it compares

The biggest advantage over TestRail or Zephyr: you don't need a separate tool. Tests you manage are the same tests you run. No sync issues, no integration maintenance.

FAQs

Is test management included in all plans? Both Pro and Enterprise plans include it. The open-source Community Edition has basic test management.

Can it replace TestRail? For teams already using Testsigma for automation, yes. Planning, organization, execution, and reporting are covered. Teams using code-based frameworks like Selenium might still prefer a standalone tool.

Can non-technical team members use it? Yes. Since test cases are in plain English, product managers and business analysts can review, approve, and create tests directly.

Does it handle both manual and automated test tracking? Yes. You can track manual test execution and automated results in the same interface.

Conclusion

Built-in test management means one less tool in your QA stack. Testsigma covers planning through post-release monitoring in the same platform where you create and run tests. The two-way Jira integration is the highlight for teams that need requirements traceability. Reporting could be deeper, but for most teams, it covers the basics. For more details, see Testsigma features, Testsigma integrations, and Testsigma reviews.