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Case Studies

QA Case Studies

How we helped a fast-growing fintech engineering team ship with confidence again.

Anonymized client work: the tools we picked, the coverage we built, and the numbers that moved.

All Case Studies

Browse by industry to see the QA approach we used for each team

Featured Case Study

Fintech Platform: Scaling QA Through Rapid Team Growth

Financial Technology

65%
fewer production bugs
80%
fewer customer complaints
Month → days
release confidence time

Challenge:

The company doubled its engineering team in a few months. Feature delivery grew just as fast, and integrating that many parallel changes started causing conflicts. The user flow kept getting more complex with every release, and manual testing couldn't keep up.

Solution:

We built a full automated suite: Cypress for web E2E, Postman for API testing, and WebdriverIO with Appium for Android and iOS. It ran across dev, staging, and pre-release environments, wired into CI/CD with a daily regression run of 5,000 tests covering E2E, UI, data-driven, API, exploratory, and functional testing.

Tools & Technologies:

CypressPostmanWebdriverIOAppium

Results:

  • +Release confidence time dropped from a month to days
  • +Production bugs cut by 65% after the suite was fully in place
  • +Customer complaints down 80%
  • +New engineers reached full delivery speed within weeks, not months
Sports Tech

Social Platform for Pro Athletes: QA From the First Requirement

3
web portals covered
2
native mobile apps (Android + iOS)
8 months
to full QA coverage

Challenge:

A VC-backed startup was building a social network for professional athletes with a team of 30+ people. The product spanned three web portals, for business partners, athletes, and fans, plus native Android and iOS apps for fans. With investor-driven pressure to move fast, the team wanted QA involved from the first requirement document instead of added after problems reached production.

Solution:

We joined at the planning stage as the team's QA function, reviewing requirement documents before development started on each feature. Catching gaps and ambiguities on paper prevented defects that would otherwise have surfaced later, and kept engineering shipping planned features on schedule. From there we built out coverage across all three web portals and both mobile apps, running structured regression cycles ahead of every release.

Results:

  • +Requirement-stage reviews caught gaps before development started, cutting late-stage rework
  • +Planned features shipped on schedule release after release
  • +Regression coverage in place across 3 web portals and 2 native mobile apps
  • +QA embedded from week one instead of bolted on after launch

Tools & Technologies:

CypressPlaywrightAppiumPostman
8 months to full coverage, ongoing5 QA engineers

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