QA Case Study Lab demonstrates a recruiter-friendly checkout testing workflow:
- risk-based test case table
- priority and status filtering
- release quality signals
- selected linked bug report with evidence
- simulated focused test run
- generated QA suggestions
- markdown report preview and browser download
Priority: P0 Area: First screen
- Open the app.
- Review the left navigation, top command bar, test case table, and bug inspector.
The first screen shows the E-commerce Checkout case study, visible metrics, release quality signals, test cases, and BUG-016 details without scrolling horizontally on desktop.
Priority: P0 Area: Search
- Type
PayPalin the search input. - Review the test table.
Only matching test cases are shown, and the visible count updates.
Priority: P1 Area: Filtering
- Click the
P0segmented control. - Review the table rows.
Only P0 test cases remain visible.
Priority: P0 Area: Test runs
- Click Run Tests.
- Review the latest test runs panel and report preview.
A new focused run appears as Run #29, and the report preview confirms how many visible cases were included.
Priority: P1 Area: Reporting
- Click Export Report.
- Review the right-side report preview.
- Confirm the browser downloads
qa-case-study-report.md.
The preview and downloaded markdown contain summary metrics, BUG-016, not-run count, and top risk test cases.
Priority: P1 Area: Bug inspector
- Click
Expiration date in the pastin the test case table. - Review the right-side bug inspector.
The inspector switches from BUG-016 to BUG-017 and shows that the defect is linked to TC-038.
Priority: P2 Area: AI suggestions
- Click Use on any AI suggestion.
- Click the same control again.
The suggestion toggles between Use and Used without changing unrelated UI state.