As we continue to see the realities of remote work and digital everything, tech plays a more substantial role in ensuring that business objectives are met. Since the human element of business, which previously made up for the lack of product/service quality, has been reduced, tech is helping to overcome the lack of physical interactions during this time.
Changing customer desires have, therefore, caused the Quality Assurance discipline to evolve into Quality Engineering (QE). This encompasses all business processes and customer experience stages to ensure the absence of quality irregularities between each stage.
What can we expect from QE as it continues to form its foothold in various business sectors, from QE software development and manufacturing to health tech and aerospace? Here are some top trends that should be on everyone’s radar for quality engineering.
1. Customer Experience at the Forefront
In the past, cost-effectiveness, product quality, time-to-market, and customer experience (CX) were all more or less equally important. Now, high-quality CX has bubbled to the top in terms of what clients expect from a reputable business. The primary objective now is to make the customer happy. CX attributes, such as security, performance, accessibility, user interfaces (UI), and user experience (UX) are especially important for validation.
To help businesses excel in CX, QE specialists must have a solid understanding of what the customer wants as well as what the business, as a provider, can do for them. For example, my team has thousands of testers analyzing a wide range of customer services, utilizing various strategies such as continuous performance monitoring, crowd testing, and cross-device testing. What’s consistent throughout all our work is that we always take moments to reconsider. We reflect on certain questions when approaching CX problems: Does this fit the customer’s needs? Should it be done in this way?
When testing for CX, our engineers found that they needed a complete understanding of the business, its service/product, and the technologies it uses. Only then can a QE team tell if something has been implemented properly, if it meets the needs of the business processes, and if it meets the experiential demands of the user. Such a validation would mainly require simulation techniques to virtualize the problem. Furthermore, good CX requires the QE team to understand human psychology, the target business, and its processes.
2. Quality Engineering is More Than Just Testing
More interactive formats for CX have emerged and will play a larger role in 2023. For example, the digital migration of customer experience centers enables customers to try out a product online, while also allowing QE teams to collect and provide valuable and quantifiable test data to feedback into the development process. As quality assurance matures into quality engineering in newer models of software development and consumption processes, testing becomes quality orchestration across the business and/or technology lifecycle.
Thus, QE is not only expected to validate the functional and non-functional aspects of the systems but they are also expected to be the custodian of quality for the business processes that they respond to, owning better business outcomes as the success criteria. This way, QE elevates their activities from technology assurance to business assurance and, eventually, to brand assurance. The days of isolated testing are over, and the shift to bespoke Quality Engineering will continue.
10 Top QE Software Tools!
Here's my pick of the 10 best software from the 10 tools reviewed.
3. Shift to Prioritizing AI and Machine Learning
Whatever the trending technologies are, they will become the trending priorities that are adopted in QE. Quality engineering will require expertise in many areas, which may include artificial intelligence (AI), machine learning (ML), Internet of Things (IoT), and blockchain sectors. To provide quality engineering to businesses using these technologies, it is necessary to also become experts in those fields. This requires engineers to receive additional certifications to work with these technologies.
The use of AI and ML algorithms for test automation is starting to mature. Some areas where AI is utilized include Test Optimization, AI-based UI testing, and API testing. We will see the continued application of AI toward testing and the setting of standardization for AI-based test automation processes.
Because ever-changing customer desires or new technologies constantly influence business trends, these trends directly inform which technologies and systems QE teams must learn. For example, if a logistics company wants to implement drones as a part of its delivery services, then QE teams would have to acquire expertise in drone delivery and monitor the deployment of the new system. Therefore, as systems change, quality engineers must also stay on top of these changes to ensure such systems are properly implemented.
4. Boundaries Between Industries Are Blurring
I suspect we'll see more of a blurring of the boundaries between industries as innovation that happens in one industry is adopted by and influences other industries. This can be seen in e-commerce and financial services, as well as in health and insurance industries. This brings the technologies from both worlds together.
There are several cases we can draw from where we see the blurring of boundaries. For example, blockchain was originally conceived as a financial services innovation, but now it’s everywhere. And augmented reality/virtual reality, originally seen as limited to gaming and entertainment, is now reaching all industries. The technology is now used to give a customer an in-branch bank experience, and even in healthcare and life sciences areas.
The adoption of technology from one industry to the other will not only improve CX but also will lead to more seamless business processes.
Moving Beyond Testing
Quality engineering has moved beyond simply testing to confirm if a piece of technology works. QE specialists need to know not only the technology but also the methodologies behind orchestrating quality for a good customer experience, as well as the business processes and needs that must also be addressed.
Quality engineering’s role in the testing and feedback cycle assures that new systems are implemented successfully and feed innovation back into the system. Through the continuous improvement that QE provides for clients, the products become stronger, and innovation is fostered back into the system. Therefore, Quality Engineering is both a means of testing and an influence on continuous improvement—being the final catalyst that improves the end product or service.
Join for More Insights
Boost your SaaS growth and leadership skills. Subscribe to our newsletter for the latest insights for CTOs and aspiring tech leaders. We'll help you scale smarter and lead stronger with guides, resources, and strategies from top experts!