In my role as a Product-Design Lead at VMware Design, I craft user experiences for enterprise products and services that are integral to customers’ operations. These products help enterprise users handle intricate, sensitive data relating to cloud infrastructure, security, and networking. Therefore, our UX design process demands high standards of performance, reliability, and usability.
Designing enterprise products necessitates comprehensive thinking, managing complexity, and welcoming uncertainties. Enterprise UX design is a field for people who thrive on solving complex problems and enjoy piecing together puzzles. However, it comes with its own set of challenges and uncertainties. For example, how can UX designers strike a balance between functionality and simplicity? How can you reconcile the expectations and requirements of different stakeholders? How do you stay adaptable to evolving market trends and customer needs?
In this article, I’ll share my knowledge and strategies for how you can navigate such challenges and uncertainties by improving the UX design process through effective collaboration. I’ll also share some practical examples, as well as some tools that you can utilize in your day-to-day work. Plus, I’ll discuss some challenges that you’ve probably encountered and how you can address them. Read More
Designing for usability and maximizing value delivery are UX design best practices. Building a useful, data-heavy user experience demands even more. Software engineers have achieved a remarkable feat in recent years: leveraging Big Data and data analytics to predict and prescribe users’ behavior. With the help of artificial intelligence (AI) and machine-learning tools, we can gather huge amounts of data from various sources, enrich and analyze that data, then share the results visually on dashboards and in reports.
But visualizing data isn’t helpful if that data doesn’t make sense. So UX designers have traditionally used bar graphs, line graphs, and pie charts to present data to users visually. Nevertheless, keeping user interfaces simple, focusing on clarity over style, and emphasizing what the user would consider important insights are timeless UX design best practices that can make data-heavy user experiences successful. In this article, I’ll highlight some UX design trends that are transforming data-heavy user interfaces into more insightful and less overwhelming user experiences. Read More
For anyone who designs user interfaces, accessibility and its associated value and impacts are important design considerations. However, accessibility best practices alone do not adequately address all aspects of human capabilities and people’s differences—whether physical or cognitive or a combination of the two. Individuals’ backgrounds, cultures, and other geographical and socioeconomic variables play a part as well.
Moreover, breaking down barriers and empowering humans of all capabilities becomes more fraught and challenging within the context of industrial automation, where a modernization lag and inertia regarding digital transformation to maximize the latest technologies and innovations still exist—which has negative impacts on fostering inclusivity. At Rockwell Automation, we’re making progress in cultivating inclusive-design practices that enable industrial workers in some of the most challenging contexts on the planet and uncovering best practices that could benefit any organization. Read More