Bugs found by customers cost more than bugs found by testers. Dotqode’s QA engineers test every release before it reaches your users.
How we test
We plan testing alongside development, not after it. Manual testers explore new features the way a real user would, while automated tests check that existing features still work after every change. We test across browsers and on real devices.
Every bug report includes steps to reproduce, expected and actual results, and screenshots or recordings, so developers can fix issues quickly.
What we test
Our QA engineers work on web applications, mobile apps and the APIs behind them. Depending on the product, that covers:
- Functional testing of features against their requirements, including the unhappy paths: wrong input, expired sessions, missing data.
- Regression testing before each release, to confirm that what worked last month still works today.
- API testing of responses, error handling and permissions, independent of any screen.
- Performance checks that show how key pages and endpoints behave as the number of users grows.
- Basic accessibility checks, such as keyboard navigation, contrast and screen reader labels.
Common situations
Teams usually come to us for QA in one of these positions:
- Developers are testing their own work, and bugs keep slipping into production
- Releases are slow because every one needs days of manual checking
- An automated test suite exists but is flaky, so nobody trusts it
- A product is about to launch and needs a thorough check across devices first
In each case we start small: a test plan for the next release and a first round of results, so you can judge the value quickly.
For flaky automated suites, we first find out why tests fail at random. The cause is usually timing, shared test data or an unstable environment. Fixing those causes is often more valuable than writing new tests, because a suite the team trusts is one the team keeps running. We also agree simple measures with you, such as how many bugs reach production, so improvement is visible over time.
Who this is for
This service suits product companies without dedicated testers, teams preparing for an important launch, and businesses that have software built by another supplier and want an independent check before accepting it. QA engineers can join your existing team as part of a dedicated team, with access to your issue tracker and builds. On an end-to-end project, testing is included as standard and runs alongside development from the first sprint.
Test plans, test cases and automated suites are written for your team to keep. When we finish, they stay in your tools and continue to protect future releases.
How we deliver it
The same rhythm on every testing and QA engagement, so you always know what happens next.
- 01
Risk review
We learn the product, talk to your team about what has broken before, and rank features by how much a failure would cost your users.
- 02
Test plan
For each release we decide what is tested by hand, what is automated, which browsers and devices are covered, and what counts as ready to ship.
- 03
Test and report
Testers explore new features and run regression checks, logging every bug with steps to reproduce, evidence and a severity your team can triage.
- 04
Automate the repeats
Checks that must run every release become automated tests in your pipeline, so manual effort goes on new features rather than old ones.
Technologies we use
We pick the stack that suits your product and team, and work with what you already run.
- Playwright
- Selenium
- Cypress
- Appium
- Postman
- JMeter
- BrowserStack
- Jira
- TestRail
- GitHub Actions
Frequently asked questions
Can your QA team test software built by another vendor?
Yes. QA engineers can join your existing team as part of a dedicated team engagement.
Should we automate all our testing?
No. Automation suits stable, repeated checks such as sign-in, checkout and key API calls. New features and usability still benefit from a person exploring them, so we use both.
Where do the automated tests live?
In your own repository, running in your own pipeline. They are written to be read and extended by your developers after we finish.
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