CASE STUDY

Intelligent QA for Superior OTT Experiences

Our QA team optimized an OTT media platform through innovative manual and automated testing, achieving faster release cycles, 30% reduced regression time, and seamless playback across diverse devices and environments.

OTT

ABOUT THE PROJECT

Delivering Reliable OTT Streaming Experiences

A global OTT media distribution platform required robust end-to-end validation for its web and mobile streaming applications. The project involved functional, regression, and automation testing of workflows including login, playback, subscription, and analytics tracking, ensuring seamless user experiences across browsers, mobile devices, and Smart TVs under tight weekly release timelines.

HIGHLIGHTS

500+

Automated Regression Scripts

30%

Faster Releases

Enhanced playback reliability and platform stability
Streamlined test execution through parallelization
Accelerated CI/CD-enabled releases

Tools we Used

PROBLEM STATEMENT

Ensuring Reliable OTT Playback Across Platforms

The OTT platform faced recurring issues with playback stability and environment reliability during frequent releases. Dynamic content behavior caused flaky automation tests, and limited regression time increased release pressure. The goal was to implement a hybrid testing strategy that ensured consistent video playback, efficient automation, and reliable weekly delivery pipelines

OUR SOLUTION

Streamlined QA Automation for Multi-Platform Consistency

Built hybrid regression suites combining manual and automated validations
Implemented dynamic wait and error recovery logic for streaming delays
Integrated Jenkins CI/CD pipelines for continuous regression feedback
Devised risk-based prioritization for device/browser test coverage
Scaled automation execution through cloud-based parallel testing
Embedded QA checkpoints early in the Agile (Scrum) workflow

What we did?

Comprehensive Regression

Scalable Automation Framework

Advanced Cross-Platform Validation

Enhanced Build Stability

Comprehensive Regression

Our QA specialists executed over 500 regression test cases every week, focusing on high-impact OTT flows. Using TestRail for management and Jira for tracking, we mapped every feature to user scenarios, ensuring complete coverage. Regular review cycles and QA retrospectives improved prioritization, allowing the team to detect recurring playback inconsistencies faster and validate new features with higher confidence.

Scalable Automation Framework

We built a maintainable automation framework using Playwright, Cucumber, and Python for regression coverage of 70%. The scripts dynamically adapted to content variations using smart selectors and retry mechanisms. Continuous Jenkins integration enabled nightly builds and cross-browser testing. This adaptive structure reduced test flakiness, minimized manual dependencies, and helped sustain reliable CI/CD regression executions with transparent reporting dashboards.

Advanced Cross-Platform Validation

Our team developed a detailed compatibility matrix spanning major browsers, OS versions, and smart devices. Tests were designed to simulate realistic network conditions and streaming scenarios. The matrix-driven testing approach ensured uniform playback experiences across platforms. We also introduced mobile-to-TV mirroring validations, uncovering key rendering defects before release, thereby improving playback consistency for end users across all device ecosystems.

Enhanced Build Stability

We introduced a dedicated pre-regression smoke suite to validate build health in Jenkins before executing the full regression cycle. Automated health checks monitored environment readiness and API response times, reducing pipeline interruptions. Combined with real-time TestRail dashboards, this approach provided continuous visibility to product and DevOps teams, improving decision-making and ensuring each weekly deployment achieved near-zero rollback occurrences.

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