QA Case Studies

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.

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

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

Challenge:

A bootstrapped startup was building a crypto-only event ticketing platform and needed a working MVP within 6 months on a self-funded budget. Every ticket purchase, transfer, and resale had to settle as a real transaction on Ethereum or Solana, across both web and mobile, leaving no room for a broken flow to reach users with real funds at stake.

Solution:

We joined as the QA function for the MVP build, with 3 QA engineers covering the main user flows on web and mobile. Testing centered on verifying ticket transactions end to end on both Ethereum and Solana, alongside the surrounding web and mobile flows, so the team could ship the MVP with confidence in the underlying chain logic.

Results:

• +MVP shipped within the 6-month bootstrapped timeline
• +Ticket transactions verified end to end on both Ethereum and Solana
• +Main flows covered across web and mobile before launch
• +A stable MVP helped the company secure new investment and keep growing

Challenge:

An EU-based eMobility company needed QA embedded directly into the internal teams responsible for tariffing and billing charging sessions. Getting a charging session priced and invoiced correctly meant tracking session data, tariff rules, and billing output together, with little room for error since mistakes here hit revenue and customer trust directly.

Solution:

We joined as embedded QA inside the tariffing and billing teams for 2 years, with 2 QA engineers working alongside the internal engineers on every release. Coverage followed each charging session from metering through pricing to the final invoice, keeping releases on schedule throughout the engagement.

Results:

• +Embedded QA coverage held for 2 years across the tariffing and billing teams
• +Charging session, tariffing, and billing flows tested through every release cycle
• +Releases shipped on schedule throughout the engagement
• +Billing issues caught before reaching production, protecting revenue and customer trust

Challenge:

A blockchain wallet company had no established QA process for its mobile apps. Users manage real funds in a wallet, so every release had to work correctly on both iOS and Android, across the real devices people actually use. Emulators alone couldn't give the team that confidence, and manual checks wouldn't scale with the release pace.

Solution:

We joined with 2 QA consultants to set up QA with best practices for mobile testing on real devices. We built the automation framework on WebdriverIO and Appium, then moved execution to BrowserStack for access to a wide range of real iOS and Android devices. The suite runs as a daily regression, so every day starts with a clear picture of the app's state.

Results:

• +Over 1,000 E2E scenarios automated for both iOS and Android
• +Tests run on real devices through BrowserStack instead of emulators only
• +Regression and testing run every day, so issues surface the same day they are introduced
• +QA process and mobile testing best practices in place from the start

Challenge:

A blockchain company needed test automation built around its own product, and wanted its internal team to own and grow it afterward. Without an automation framework in place, regression checks stayed manual and every release depended on repeating them by hand.

Solution:

We assigned 1 QA engineer to design and build a Cypress framework tailored to the company's needs, then automate the key flows on top of it. Over 3 months we took it to a full setup, then handed it over to the internal team so they could keep developing it on their own.

Results:

• +Cypress framework built around the company's own product and needs
• +Full automation setup delivered in 3 months by a single QA engineer
• +Suite handed over to the internal team to continue developing
• +The company owns its automation instead of depending on an outside team

Challenge:

A major European telecom operator was building an Android email app for its own subscribers, working like a mainstream mobile email client. Deadlines were tight, and the previous team had not managed to get mobile test automation working. Without it, the team had no reliable way to check each release on Android.

Solution:

We joined with 1 QA engineer and built the automation from the start, setting up WebdriverIO and Appium for Android. Over 6 months we took the setup to a working state, then handed it over to the internal team to continue on their own.

Results:

• +Android automation working after the previous team's attempt had not delivered
• +WebdriverIO and Appium setup built from the first sprint, under deadline pressure
• +Setup handed over to the internal team after 6 months
• +Internal engineers continue to extend the suite on their own

Challenge:

A global medical technology company needed performance testing for a platform built on REST APIs, SignalR WebSockets, and Kafka messaging. Each layer behaves differently under load, and the team had no complete performance testing setup covering all of them.

Solution:

We joined with 3 QA engineers to implement k6 performance testing end to end. That covered REST API load tests and WebSocket tests for SignalR. We also built a custom k6 binary for the client's needs and delivered a proof of concept for Kafka performance testing. The whole MVP was ready in 3 months.

Results:

• +k6 performance tests in place for REST APIs
• +WebSocket load testing working for SignalR
• +Custom k6 binary built for the client's needs
• +Kafka performance testing proven with a proof of concept