CASE STUDY

Enhancing E-learning Stability With Test Automation

We built a scalable test automation framework for a web-based learning platform, covering course workflows, backend APIs, and analytics verification to support continuous delivery.

e-Learning

ABOUT THE PROJECT

End-to-End Quality Assurance in E-learning

This project focused on enhancing QA efficiency for a live educational platform used by students and instructors. The testing covered automation of complete course workflows from course creation through student completion and report generation. Our scope also included API-level validation and backend verification involving webhook events and analytics data in cloud storage. The goal was to ensure functional accuracy, data consistency, and seamless sprint delivery.

HIGHLIGHTS

90%

Automation of regression test cases

5+

Year continuous QA engagement

Reliable testing across web and backend layers
Full sprint integration with automated QA checkpoints
Improved collaboration across time zones

Tools we Used

PROBLEM STATEMENT

Need for Scalable and Consistent Testing Coverage

The client’s platform was already in production, but manual QA processes couldn’t match the pace of feature updates. They needed robust automation to handle frequent regression testing, validate data in analytics pipelines, and ensure the smooth functioning of course creation and reporting workflows. Limited time zone overlap also made collaboration with their internal team challenging.

OUR SOLUTION

Cross-Layer Automation with Agile Integration

Created modular test suites for UI and API flows
Automated key workflows across student and instructor journeys
Verified event logs in S3 and analytics data for consistency
Integrated backend validations via API testing
Embedded QA into Agile sprints using ticket-based tracking
Aligned work schedules to overlap with the client’s US-based team

What we did?

Workflow Coverage Automation

Backend Systems Validation

Cloud Data Verification

Agile Sprint Integration

Workflow Coverage Automation

We automated the complete course lifecycle from instructor creation to student completion and final report validation across the platform’s UI. This automation ensured comprehensive coverage of critical workflows, minimized manual testing effort, and increased execution speed. It enabled smoother regression cycles, supported fast-paced releases, and helped maintain consistent quality across multiple deployments without compromising user experience or core platform functionality.

Backend Systems Validation

We built API automation to test key backend processes, including course creation, report accuracy, and data synchronization. These validations ensured backend services functioned correctly and data integrity was maintained across updates. The API tests were integrated into CI pipelines to provide immediate feedback post-deployment, helping to catch and resolve bugs early. This improved release reliability and reinforced trust in the platform’s technical foundation.

Cloud Data Verification

Webhook events were tracked and validated in S3 cloud storage and downstream analytics databases to ensure seamless data flow. We confirmed that user activities triggered the correct events and that these were accurately captured in analytics layers. This process helped detect and resolve integration issues quickly, safeguarded reporting accuracy, and supported business decisions based on clean, reliable data across systems

Agile Sprint Integration

We fully aligned testing with Agile sprints by linking test tasks to user stories via sprint tickets. Despite time zone differences, we synchronized work hours with the client’s team to improve real-time collaboration and communication. This enhanced workflow coordination, reduced testing bottlenecks, and ensured timely feedback within each sprint. The agile alignment supported quicker validations, leading to faster, more stable releases.

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