Case Study

Modernizing QA Automation with Testsigma

A Qualitrix Success Story

About the Client

A major financial services provider operating across web and mobile platforms, the client offers digital products in a highly regulated and competitive market. Their growth in digital offerings necessitated a more scalable and efficient QA automation solution to ensure high-quality, secure, and reliable applications.

Automation Challenges Faced by the Client

The client’s traditional QA processes presented several automation-related bottlenecks, particularly in scaling their Agile workflows:

Lack of Scalable Automation

The existing test automation frameworks were limited in their ability to scale quickly. As the application portfolio grew, test automation coverage was inadequate, leading to slower release cycles.

High Maintenance of Test Scripts

Frequent changes in the user interface (UI) and workflows resulted in broken test scripts that required constant manual updates. This consumed valuable QA resources and delayed testing.

Difficulty in Achieving Cross-Browser and Cross-Device Testing:

The need to ensure consistent functionality across different browsers, devices, and platforms required extensive manual testing, increasing both complexity and time.

Delayed Feedback in CI/CD Pipeline

The existing testing process struggled to integrate with the client’s CI/CD pipeline, leading to delayed defect identification, which slowed down the entire development cycle.

Solution Proposed by Qualitrix

To overcome these challenges, Qualitrix leveraged the Testsigma platform, a modern, no-code, AI-powered test automation solution, to introduce efficient and scalable automation across the client’s QA process:

No-Code Automation for Scalable Testing

Using Testsigma’s no-code interface, Qualitrix enabled rapid test case creation without requiring coding expertise. This empowered both manual testers and non-technical team members to automate functional and regression tests quickly, increasing overall test coverage.

AI-Driven Self-Healing Scripts

The platform’s AI-powered self-healing feature automatically updated test scripts for minor changes in the UI, drastically reducing maintenance efforts and freeing up the QA team to focus on expanding automation coverage rather than troubleshooting broken tests.

Cross-Platform Testing Automation

Testsigma’s built-in capabilities for cross-browser and cross-device testing allowed for comprehensive regression tests across multiple platforms. This reduced the manual testing burden and ensured consistent functionality across all digital products.

Seamless CI/CD Integration for Continuous Testing

Testsigma was seamlessly integrated into the client’s CI/CD pipeline, enabling automated tests to be triggered with every build. This allowed for early detection of bugs and reduced the feedback loop from development to QA, speeding up the overall release cycle.

Solution Proposed by Qualitrix

By implementing Testsigma with Qualitrix’s support, the client achieved the following transformative outcomes

50% Increase in Automation Coverage

The ability to easily create and maintain test cases using Testsigma’s no-code platform significantly expanded automation coverage across both web and mobile applications.

40% Reduction in Test Maintenance Efforts

The AI-driven self-healing functionality minimized the need for constant updates to test scripts, resulting in faster test execution and reduced manual intervention.

Accelerated Regression Testing by 60%

Automated cross-platform testing through Testsigma allowed the client to run parallel tests across browsers and devices, dramatically speeding up regression cycles and ensuring rapid releases.

Early Defect Detection and Faster Feedback Loops

Continuous integration of automated tests into the CI/CD pipeline reduced the time taken to identify and address defects, improving software quality and accelerating time-to-market.

30% Reduction in QA Costs

By reducing manual efforts and accelerating test automation, the client achieved significant cost savings, while also reallocating resources to higher-value tasks like exploratory testing and innovation.