About Client  

The client is a leading American chain of fast-casual restaurants that offers fast-food services in more than 900 locations in the USA.  

Client’s Problem Statement  

The client faced multiple challenges maintaining and improving its customer satisfaction index, which consistently declined every quarter. They observed a significant drop in their mobile eCommerce app for food ordering and delivery due to critical defects and functionality issues in production. Their automation suite could not detect critical defects and lacked the necessary skills to maintain and run automation effectively, slowing the regression testing cycle. The client also lacked a structured quality process to monitor defect slippage and establish benchmarks for quality measurements. 

Solutions Offered 

TestingXperts (Tx) worked closely with the client, understood their business requirements, and implemented the following solutions to optimize the quality process for their eCommerce mobile app and bridge the communication gaps between the client’s business, IT, and QA teams: 

• Deployed Tx-HyperAutomate, our low-code test automation framework using UiPath Test Suite, to improve reporting mechanisms and integrate with the client’s in-house CI and test management tools. 

• Introduced Tx-SmarTest, an automation accelerator to simplify the automated testing process and capture app controls, making testing more resilient to app changes. 

• Leveraged Tx-Analyzer, an AI-driven accelerator to analyze code changes and prioritize regression testing, enhancing testing efficiency. 

Results Achieved  

• 24×5 automation monitoring and support, ensuring consistent QA coverage by offering a hybrid onshore-offshore staffing model. 

• $0.8 million in QA cost savings and reduced defect slippage from 7% to less than 1%. 

• 792 defects were detected in the first six months, significantly surpassing the client’s defect logging rate from the previous year. 

• 25-30% improvement in QA productivity by automating the regression suite prioritization. 

• Reduced time-to-market by 4 weeks by implementing in-sprint automation and shift-left and shift-right testing methodologies.