Manual & Automated QA for a Global Streaming Service

Challenge

As the platform expanded beyond the web — into mobile, automotive, and connected devices — the client faced growing complexity in maintaining consistent quality across an increasingly fragmented ecosystem. Frequent releases, new feature rollouts, and integrations with third-party systems required a more structured and scalable QA approach to prevent regressions, ensure stability, and support continuous product growth.

Key challenges included:

• Building QA from the ground up. At the start of the engagement, test coverage was minimal, and structured QA processes were largely absent, requiring a full setup of strategy, documentation, and workflows.
• Multi-platform complexity. The product had to perform consistently across web, iOS, Android, automotive systems, and connected devices, each with its own constraints and edge cases.
• Rapid feature growth. The introduction of advertising models, premium subscriptions, and new content formats significantly increased the scope and variability of testing.
• Frequent releases. Regular updates and urgent patches left little room for error, putting pressure on regression coverage and turnaround time.
• Device fragmentation. A wide range of devices, OS versions, and configurations created constant challenges for compatibility and stability.
• Third-party integrations. Dependencies on smart home platforms, streaming technologies, and payment systems introduced additional risks outside direct control.
• Growing product. Continuous changes in architecture and functionality required QA processes to adapt quickly and remain effective.
• Quality at scale. With millions of users, even minor issues could impact a large audience, making stability and consistency critical.

Solutions

Our team took full ownership of QA from the start, building structured testing processes and scaling them alongside the product. Starting with minimal initial coverage, we established a comprehensive QA strategy, implemented test documentation, and introduced clear workflows for release validation. As the platform expanded across devices and environments, QA processes were continuously refined to support faster releases without compromising stability.

To keep up with growing complexity, we combined manual and automated testing, gradually increasing automation coverage and integrating it into daily workflows. Close collaboration with developers, proactive involvement in early build stages, and round-the-clock support across different time zones allowed us to detect issues earlier, reduce regressions, and maintain consistent quality across all platforms.

Key solutions included:

• Adaptable QA processes. Continuously updated testing approaches to match evolving architecture and feature set.
• End-to-end QA ownership. Defined and implemented testing strategy, processes, and documentation across the entire product lifecycle.
• Shift-left testing approach. Started checking features at early development stages to catch issues before release.
• Automation at scale. Expanded automated testing to cover critical flows and integrated it into continuous regression cycles.
• Multi-platform coverage. Ensured consistent quality across web, mobile, automotive, and connected devices.
• 24/7 QA support model. Organized the team across time zones to support continuous testing and release monitoring.
• Release-focused workflows. Established structured validation processes for regular releases and urgent patches.
• Cross-team collaboration. Worked closely with developers to quickly identify, reproduce, and resolve issues.

Results

Our QA efforts allowed the platform to scale across multiple environments while maintaining a stable and consistent user experience. By establishing structured processes, expanding automation, and supporting continuous releases, we helped reduce production issues and ensure reliable performance across all supported platforms.

As the product grew, our team remained a core part of its quality strategy, supporting new features, integrations, and platforms without compromising stability. This long-term collaboration contributed to high user satisfaction, strong platform ratings, and the ability to deliver frequent updates with confidence.