The Problem
Multiple teams use different automation frameworks and execution environments. Design a centralized system that aggregates results and provides actionable quality insights.
Requirements
- • Accept results from multiple frameworks
- • Normalize test execution data
- • Store historical results
- • Support dashboards
- • Track flaky tests
- • Track failure trends
- • Support team and application-level reporting
- • Integrate with CI/CD
High-Level Architecture
Architecture Components
Result Ingestion API — receives execution results.
Normalization Service — converts framework-specific results into a common model.
Message Queue — decouples result ingestion from processing.
Processing Service — calculates metrics and trends.
Test Result Store — stores execution history.
Analytics Layer — identifies trends and patterns.
Dashboard — provides team and application-level views.
Alerting Service — notifies teams about important quality signals.
Senior QA Perspective
“The reporting system should focus on actionable quality information rather than simply displaying pass and fail counts. I would normalize results from different frameworks, preserve execution history and calculate metrics such as failure trends, flaky-test rates, execution duration and defect correlation. Observability should help teams move from 'what failed?' to 'why is quality degrading?'.”
Interviewer Follow-ups
- • How would you normalize results from different frameworks?
- • How would you identify flaky tests?
- • How would you handle millions of execution records?
- • Which metrics would you expose to engineering leadership?
- • How would you correlate test failures with deployments?
- • How would you design the ingestion API for high throughput?