Week 1–2
Assessment & test plan
Risk-based coverage map, environment inventory, data strategy (synthetic vs masked), and definition of done for QA.
Quality
Quality Assurance
Quality is a system: clear entry criteria per story, environments that mirror production topology enough to be trustworthy, and automation that protects business-critical journeys without becoming unmaintainable. We align test cases to user impact and code churn, integrate with Jira/Linear/TestRail, and treat test code with the same review standards as product code.
Test strategy, automation, performance, and release gates integrated with CI/CDDiscuss this service
When teams choose this
Situations we solve
- Releases stall on manual regression—we automate P0 paths first and gate merges on smoke.
- Flaky E2E undermines CI—we quarantine, fix root causes (timing, data, env), and track flake rate.
- Microservices need contract assurance—we add Pact or OpenAPI diff checks in the pipeline.
Engagement shape
How delivery typically runs
Sprint 1–n
Automation & tooling
Implement frameworks, CI jobs, reporting (Allure, ReportPortal), and integrations with issue trackers.
Ongoing
Quality governance
Weekly quality metrics, escaped-defect reviews, and backlog of test debt with product prioritization.
Deliverables
What you can hold at the end
Test suite & CI configuration
Repositories or folders with README, tagging strategy, and parallel execution plan.
Regression pack
Prioritized cases mapped to business capabilities with maintenance owners.
Performance baseline report
k6 scenarios with thresholds documented against current and target p95.
Tooling
Stacks we commonly integrate
- Playwright, Cypress, Selenium (legacy)
- Postman, Newman, REST Assured, Pact
- k6, Grafana k6 Cloud, JMeter
- TestRail, Xray, Zephyr, Allure
Outcomes
Metrics we align on
55–80% reduction
Regression duration after automation (wall clock)
50–70% fewer
Escaped P0–P1 in covered areas (post program)
< 10 min
Mean time to reproduce from CI artifact
Field note
E‑commerce platform (peak traffic)
Checkout and promotions broke under load; manual regression took three days and missed API-only defects.
We added API contract tests, parallel UI suites with trace capture, and k6 scenarios for checkout. Release cadence moved to weekly with automated gates and hotfix volume dropped materially on payment flows.
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Browse every practice area to see how we scope work, which stacks we use, and what outcomes we align on.