Key Takeaways
- Reduced regression testing time by 80%, from 3.5 days to 7 hours per cycle.
- Enabled weekly releases, accelerating feature rollouts and hotfixes.
- Improved early defect detection by 30%, enhancing production stability.
- Saved over 900 hours of manual testing effort annually.
- Ensured seamless user experiences across web, Android, and iOS platforms.
The Challenge
CookinGenie, an online platform connecting users with personal chefs, faced significant QA hurdles due to its multi-platform nature and rapid growth. As a result, manual testing efforts created bottlenecks that hindered quick feature updates and hotfixes.
Regression testing was a significant pain point. With four platforms (web, Android, iOS app, and mobile web) for three applications, regression testing took over 3 days per release, delaying rollouts.
Cross-platform dependencies further complicated testing. Test scenarios often originated on one platform (for example, the web app) and had to be validated across others (iOS and Android apps) to ensure a seamless user experience. Device fragmentation added to the challenge, requiring extensive coverage across diverse screen sizes and operating systems.
The Solution
Taazaa implemented a comprehensive automation strategy to streamline QA processes. Using WebDriverIO for its JavaScript support and robust ecosystem, we developed a hybrid framework combining data-driven and modular approaches for reusability. The solution integrated with CI/CD pipelines for automated regression runs on every build.
Testing leveraged device farms and remote execution to simulate real-world conditions across devices and browsers, with parallel execution to accelerate validation. Custom utilities were built to validate cross-platform and end-user flow validations, ensuring consistency from web to mobile.
The Results
Taazaa’s automation solution transformed CookinGenie’s QA efficiency. Regression testing time dropped from 3.5 days to just 7 hours, eliminating testing delays and accelerating release velocity to enable weekly releases.
Likewise, early defect detection improved by 30%, bolstering platform stability. Over 900 hours of manual effort were saved annually, giving the QA team more time to conduct exploratory and edge-case testing.
The test automation solution ensured consistent user experiences across all platforms, supporting the platform’s high transaction volumes and user growth.
