QA Testing Checklist

End-to-end QA workflow a test lead runs for a feature release, from requirements review through test design, execution in staging, and sign-off. Captures structured results so blocking defects gate the release.

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1

Requirements Review

  1. Walk through acceptance criteria with PM and engineering
    • Pull the Jira/Linear ticket and read the acceptance criteria line by line with the PM and the implementing engineer. Flag ambiguous wording ("the system should be fast") and pin down concrete expected behavior before any test design begins. Vague AC is the most common reason QA finds defects late.

  2. Identify edge cases and negative paths
    • For each user story, list boundary inputs, invalid inputs, concurrent-user scenarios, and failure modes (network drop, expired session, partial write). Edge cases the PM didn't write down are the ones customers will hit.

  3. Confirm cross-browser and device scope
    • Lock the supported browser/OS/device matrix for this release — typically last two versions of Chrome, Safari, Firefox, Edge, plus iOS Safari and Android Chrome. Note any WCAG 2.1 AA accessibility requirements if the feature is in a public-sector or EU-Accessibility-Act path.

  4. Assess regression scope
    • Review the diff and impacted modules. Touching auth, billing, or shared API contracts is High risk and triggers full regression. Isolated UI copy change is Low. Pick the level honestly — High pulls in the full regression suite step later in this checklist.

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2

Test Design

  1. Draft the test plan in Confluence
    • Document scope, in/out, entry and exit criteria, environments, and the responsible tester per area. Link the AC ticket and the design doc. The plan is the artifact auditors ask for during SOC 2 change-management evidence collection.

  2. Write test cases in TestRail or Xray
    • One test case per acceptance criterion plus edge cases identified earlier. Each case has preconditions, steps, expected result, and traceability back to the user story. Skip the temptation to write "verify it works" — that's not a test case.

  3. Identify candidates for Playwright automation
    • Stable, high-value, repeated paths get automated; one-off exploratory checks stay manual. Avoid automating flaky areas (third-party iframes, animation-heavy flows) — they become noise in CI and trigger "just rerun it" culture.

  4. Prepare test data and seed scripts
    • Build seed fixtures for happy-path users, edge-case accounts (expired trial, suspended, multi-tenant admin), and anonymized production-shaped data. Never copy raw production PII into staging — GDPR and HIPAA both prohibit it; use a masking script.

3

Environment Setup

  1. Deploy the release candidate to staging
    • Trigger the GitHub Actions or Buildkite pipeline that builds the RC tag (e.g., v2024.45.0-rc.1) and deploys it to staging. Confirm the deployed sha matches the release branch head; mismatched shas cause hours of "why doesn't this fix appear?" debugging.

  2. Run database migrations and seed fixtures
    • Apply migrations against staging and watch for long locks or backfill blocks — the same operation will happen in prod next week. Load seed fixtures from the prior step.

  3. Verify feature flag configuration
    • Confirm in LaunchDarkly or Statsig that the flag default in staging matches the planned production rollout state (off, beta-only, or 100%). Flag misconfiguration is a top cause of "the feature works in staging but not for the customer" tickets.

4

Test Execution

  1. Run the automated e2e suite in CI
    • Trigger the Playwright/Cypress suite against staging. Investigate every failure — do not retry-until-green. Flaky tests get tagged and filed, not silently ignored.

  2. Execute manual test cases against staging
    • Walk through each test case in TestRail/Xray and mark pass/fail with the exact build sha. Attach screenshots or screen recordings on failure — "button broken" without artifacts is uninvestigable an hour later.

  3. Run cross-browser and mobile checks
    • Use BrowserStack or Sauce Labs for the matrix locked in requirements review. iOS Safari and Android Chrome remain the most common source of "works on my machine" defects.

  4. Run the full regression suite
    • Triggered when regression risk was scored High in requirements review. Run the full automated regression pack and re-execute manual smoke for billing, auth, and shared APIs. Skipping this on a High-risk diff is how a one-line change ships an outage.

  5. Run an exploratory testing session
    • Time-box a 60–90 minute session-based exploratory test. Charter it ("explore the multi-tenant admin permission surface"), keep notes, file anything surprising. Scripted tests find what you thought to write; exploratory finds what you didn't.

5

Defect Triage and Sign-Off

  1. File defects with reproduction steps
    • Each defect ticket includes build sha, environment, browser/OS, exact steps, expected vs. actual, and severity. Link console errors and Sentry events. Tickets without repro steps bounce back to QA — write them once, properly.

  2. Triage defects with engineering and PM
    • Walk the defect list with the engineering lead and PM. Classify each as release-blocker, fix-in-patch, or backlog. SEV1/SEV2 in customer-facing paths are blockers; cosmetic copy issues are not.

  3. Verify fixes on the new release candidate
    • For each fixed defect, retest against the new RC sha and mark verified in TestRail. Common gotcha: the fix lands on main but the RC branch wasn't updated — confirm the sha actually contains the fix before retesting.

  4. Record QA sign-off decision
    • QA lead records the decision against the exact sha tested. "Approved with known issues" requires the issues listed and PM acknowledgment. "Blocked" sends the release back to engineering and pauses the deploy window. This record is SOC 2 change-management evidence — keep it.

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Category Software Development
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