Hire QA Engineers and Automation Testers
Testers who write reproducible bug reports and automation that fails only when something is genuinely broken. A suite nobody trusts gets ignored, and an ignored suite is worse than none because it cost money to build.
Discuss your projectTesting we cover
Manual and exploratory
Working through the product as a user would, including the paths nobody specified. Still the most effective way to find the defects that matter, and the thing automation is worst at.
Test automation
End-to-end suites on the critical journeys, run in your pipeline on every pull request. Built to be stable, because a flaky suite trains a team to ignore red builds.
API testing
Contract and behaviour tests against your endpoints, including the error cases. Faster, far more stable than browser tests, and where we would start if the budget is limited.
Regression suites
A defined set covering what must never break, run before each release. The thing that lets a small team ship weekly without anxiety.
Mobile testing
On real devices across OS versions and screen sizes, including the older Android handsets your users have and your team does not.
Performance and load
Behaviour at realistic data volume and concurrency, rather than on an empty database with one user. Most performance problems are invisible until the data is real.
Accessibility
Keyboard navigation, screen reader behaviour, contrast and focus order. Partly automatable, mostly not.
Release verification
A documented check before and after deployment, so a broken release is caught by your team rather than reported by a customer.
What to automate, and what not to
The usual mistake is trying to automate everything, which produces a large slow suite that breaks constantly and gets switched off within a year. The second mistake is automating only through the browser, which is the most expensive and least stable layer to test at.
What we would recommend: automate the journeys where a failure costs you money — sign up, log in, checkout, the core workflow — and automate them at the lowest layer that can prove the behaviour. Most logic is better tested through the API than by driving a browser. Leave the long tail of rarely-used screens to exploratory testing, where a person will find more in an hour than a suite would in a year.
And be sceptical of coverage percentages. A codebase at eighty percent coverage with no test of the payment path is in worse shape than one at thirty percent that covers the things which must not break. We will tell you what is covered and what is not, in terms of journeys rather than percentages.
Tools
We work in your existing tooling by default. Where you have none, these are what we would set up.
- Automation: Playwright or Cypress for browser, Appium or Detox for mobile, Postman or REST-assured for API.
- Load testing: k6 or JMeter.
- Tracking: Jira, Linear, GitHub Issues or Azure DevOps — whichever your developers already use, never a separate QA tool.
- Test management: TestRail, Xray, or a well-organised set of documents, which is sufficient for most small teams.
- CI: GitHub Actions, GitLab CI or Jenkins, with results reported where developers will see them.
- Devices: real hardware for mobile, plus a device cloud for the long tail of versions.
Common questions
Related in Staff Augmentation
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