Regression Test Plan Template for Agile Teams

Use two factors: business impact if the tested feature breaks (revenue loss, data corruption, security exposure) and how often the underlying code changes. A test for a payment flow that changes every sprint is Tier 1. A test for an admin settings page that has not changed in 6 months is Tier 3. When in doubt, start at a higher tier and demote tests that consistently pass over multiple cycles.

Flaky tests (tests that pass sometimes and fail sometimes without code changes) destroy trust in the regression suite. Quarantine flaky tests immediately. Move them to a separate "flaky" tag so they do not block releases. Track the flake rate as a quality metric. Set a target: less than 2% of automated tests should be flaky at any time. Fix or delete quarantined tests within 2 sprints. The [quality metrics template](/templates) includes flaky test rate as a tracked metric.

Tier 1 (blocking release) should run in under 30 minutes. If it takes longer, you will skip it under deadline pressure. The full suite should complete within one working day for manual execution or under 2 hours for automated. If your suite exceeds these limits, you likely have too many Tier 1 tests. Audit and demote tests that belong in Tier 2 or Tier 3.

Both, at different layers. API-level regression tests are faster, more stable, and easier to maintain. They should cover data integrity, business logic, and integration contracts. UI-level tests are slower and more brittle but catch rendering issues, JavaScript errors, and user flow breaks. A good ratio: 60% API tests, 30% UI tests, 10% manual exploratory. For API testing specifics, see the [API test plan template](/templates).

Run the full suite before major releases, after large refactors, after dependency updates (framework upgrades, database migrations), and after any change that touches shared infrastructure (auth, data layer, routing). Schedule a monthly full regression run even if no major changes occurred. It catches slow-building issues like memory leaks, data drift, and subtle timing bugs. Track [defect density](/glossary/acceptance-criteria) to validate that your tiered approach is not letting bugs escape. ---