QA & Testing
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Bugs Cost More the Later They’re Found
A bug caught in a pull request costs minutes. The same bug caught by a user in production costs a support ticket, a hotfix under pressure, and trust. CimpleO builds QA processes — manual and automated — that catch problems at the cheapest point to fix them.
Test Strategy & Planning
We assess what’s actually at risk in your product — payment flows, auth, data integrity, high-traffic paths — and build a testing strategy around that, not a generic checklist. Test plans that map to real user journeys, prioritised by what would actually hurt if it broke.
Automated Test Suites
End-to-end tests with Playwright or Cypress, unit and integration tests with Jest or Vitest, mobile testing with Appium. Suites wired into your CI/CD pipeline so they run on every pull request and block merges on failure — not a suite that sits unused until someone remembers to run it manually.
Manual & Exploratory QA
Structured manual testing for new features before automated coverage exists, plus exploratory testing aimed at the edge cases scripted tests don’t anticipate — inconsistent states, unusual input combinations, real device and browser quirks.
Load & Performance Testing
Realistic traffic simulation with k6 or Locust before a launch, sale event, or marketing push finds your breaking point for you. We identify where the bottleneck actually is — database, API, or infrastructure — and report it in terms an engineering team can act on.
What This Looks Like in Practice
- Risk-based coverage — critical paths tested first, not test count treated as the goal
- CI-integrated — tests run on every commit, results visible on the pull request
- Real device and browser matrices — not just headless Chrome
- Regression suites that grow with the product — coverage added alongside new features, not bolted on after launch
Tell us what’s shipping without a safety net — we’ll scope a testing plan starting with your highest-risk paths.
Frequently Asked Questions
Do you do manual testing or only automation?
Both, and the split depends on the product. Automated regression suites cover the paths that run on every release. Manual testing covers exploratory testing, usability issues automation can't catch, and new features before a suite exists for them. We build the automated coverage over time — greenfield products don't get a full suite on day one.
Can you add testing to a codebase that has none?
Yes, and this is a common starting point. We prioritise coverage by risk — payment flows, auth, data integrity — before UI edge cases. A codebase with zero tests doesn't need 100% coverage to get safer; it needs coverage on the paths that would actually hurt if they broke silently.
What testing frameworks do you use?
Playwright or Cypress for end-to-end web testing, Jest or Vitest for unit and integration tests, Appium for mobile, k6 or Locust for load testing. Framework choice follows your existing stack — we don't introduce a second testing framework where one already covers the need.
Can QA run inside our existing CI/CD pipeline?
Yes — that's the point. Tests run on every pull request, block merges on failure, and report results back to the PR directly. A test suite that only runs manually before a release catches bugs too late to be useful.
Do you do load and performance testing?
Yes. We simulate realistic traffic patterns with k6 or Locust to find the actual breaking point of your system before a real launch or sale event finds it for you, then report where the bottleneck is — database, API, or infrastructure — rather than just a pass/fail number.