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Quality Engineering: Assure Quality that Delights Customers
Quality Engineering: Assure Quality that Delights Customers

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In the last decade or so, customer expectations have reached a feverish pitch, thanks to the preponderance of digital technology at every level. Customer interactions too have spread across devices, channels, platforms, and touchpoints. Given such a scenario, staying ahead of the competition with product differentiation is not enough. What is needed is to enhance the user experience to improve brand loyalty and recall. Here, software quality assurance goes beyond the functional testing of a specific application. It includes testing of non-functional parameters, such as compatibility, performance, accessibility, UI/UX design, usability, and security as well. And quality engineering is the approach to addressing the testing requirements of modern applications across a multitude of platforms, devices, and environments.

Further, the requisites for enterprises cutting across domains to compete include accelerating product delivery to the market; delivering a world-class customer experience; mitigating the cost of production and risks; and generating revenue, among others. This calls for increasing business agility through automation across the SDLC and leveraging advanced analytics, lean practices, and AI and ML technologies. The customers of today are a tech-savvy lot who won’t wait inordinately for brands to fix their issues. They will simply move to another provider in no time. Hence, to ensure the delivery of quality products that meet the needs of the customers, a quality engineering strategy should be pursued in the SDLC.
 

Quality Assurance Evolving Into Quality Engineering

 

In the last few years, quality assurance has matured into quality engineering while incorporating the core principles of Agile and DevOps. As a result, by leveraging shift left, sprint-based development, and automation first methodologies, businesses can drive much-needed quality enhancement and acceleration. Also, with new digital trends like data-driven architecture, cloudification, workplace transformation, and APIfication gaining prominence, designing and testing through enterprise quality engineering has become critical. So, digital quality engineering has come to help companies tide over challenges and meet business imperatives. These include providing quality with speed, a superior end-user experience, and resiliency to products and processes, among others.

 

How to Assure Customer Delight Through Quality Engineering

 

Delivering customer delight across touchpoints would entail businesses harnessing technology pillars such as test automation, data testing, performance testing, and security testing. Let us discuss them in some detail:

Test automation: For mission-critical technology systems, the QA framework should be efficient, consistent, stable, reusable, and modular. Test automation can deliver quick validation of the development phases by detecting bugs early. Moreover, since there is less or no manual effort for testing, the outcomes are more accurate and quick. The best thing about test automation, a la digital quality engineering, is the use of AI. As a result, algorithms can learn from use cases and create improved test cases based on real user data.

Performance testing: Here, the performance of an application is evaluated based on its stability, scalability, throughput, reliability, and responsiveness. In the case of issues such as slow response and high load times, performance testing can address them properly. This type of testing involves performance benchmarking, load, stress, volume, and endurance testing, generating reports, and giving recommendations.

Data testing: Data is the new oil, so goes the saying, due to its importance in deriving crucial business insights and taking decisions. Since databases act as the repositories of data, they need to be validated through database testing. As a part of quality engineering solutions, database testing includes analytical testing, ETL testing, data warehousing, BI report testing, and others. It helps businesses to understand whether the data stored in the database is valid, accurate, updated, and complete. Data testing helps prevent data loss and unauthorized access. 
 

Also, since analyzing data can give insights into customer behavior, it can help businesses optimize the quality of their customer experience. Investments in AI-based algorithms to analyze customer behavioral data, such as bounce rates, average time spent, user inflow, or order conversion, can help identify bottlenecks in the quality of customer experience. For instance, a website showing high bounce rates could be related to some underlying performance issues.

Security testing: With cybercrime becoming pretty commonplace, businesses should make security testing a mandatory requirement in the quality lifecycle of products. For any quality engineering company, conducting security testing of applications can do a world of good. This includes validating the application for attributes such as authentication, authorization, resilience, integrity, and non-repudiation.

 

Conclusion

Seamless customer interactions and superior experiences can make customers advocates for a brand. Hence, it is important to leverage software quality engineering services to meet all customer experience goals. Such services can help enterprises avoid buying costly new infrastructure or licenses for tools and instead work towards delivering a differentiated customer experience.


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