Design: Enterprise UX Design

Intranets have evolved considerably since their debut in 1994, changing from simple document-management systems to unifying business collaboration and communication solutions. Successful intranets bring real, bottom-line benefits to businesses—including improved efficiency, increased productivity, and satisfying employee experiences in today’s digital workplaces.

Typically, by the time a company has matured sufficiently to acknowledge the need for an intranet, the company has already made significant technology investments and a legacy platform is in place. Previous investments heavily influence decisions to purchase new software for an intranet. Thus, UX professionals often have very limited or no influence on the selection of an intranet’s backend platform.

How can you design a useful, usable, engaging user interface for an intranet when the backend is already in place? Focus on understanding the users’ needs and how best to help them accomplish their goals. Read More

UX design plays a crucial role in developing optimal security tools—a notion that the cybersecurity industry often overlooks. If cyber product teams fail to treat cybersecurity and UX design as merged priorities, the user experience almost always suffers. Management apps such as Notion and Monday provide great examples of the success that comes at least in part because of great UX design.

To deliver a well-designed, user-friendly experience, cybersecurity and UX design must go hand in hand. Unfortunately, developers of cyber products often fail to see the need to prioritize design. Plus, many UX designers lack a background in cybersecurity. Everything comes down to process and resourcing, and product development typically leaves design out of the early planning stages. 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