When we think about interaction design, we often focus on movement such as transitions, animations, and microinteractions. We refine the ways in which elements appear, respond, and transform. We use motion as a sign of responsiveness, making user interfaces feel alive. But there is another quality that matters just as much—although we rarely discuss it: stability.

Users do not experience user interfaces as a sequence of isolated interactions. They experience them as environments. Like any environment, a digital user interface sets expectations about how things behave. When those expectations hold, users move on with confidence. When they don’t, even small shifts can create hesitation.

This hesitation becomes most visible in moments that might seem minor: content moving as a page loads, a button shifting its position after data appears, a panel expanding unexpectedly, or information refreshing in place. Each of these changes might be implemented correctly and even be helpful. But together, they could introduce a subtle sense of instability. Read More

Most stakeholders treat an information architecture (IA) as a UX deliverable that they do not need to evaluate. A designer produces a sitemap and a developer builds it, then later, a customer might be unable to find the pricing page. By then, the problem might already have cost the business more than the entire design budget.

Information architecture is not just a design specialty. It is a strategic decision about how your business represents itself to the people who pay for your service. Stakeholders who delegate IA entirely to designers are delegating a piece of their revenue strategy. The good news is that you do not need to read Information Architecture: For the Web and Beyond by Louis Rosenfeld, Peter Morville, and Jorge Arango to evaluate IA work. You need a vocabulary that translates UX terms into business outcomes, and a small set of questions that are sharp enough to expose problems before they ship. This column gives you both. Read More

UX research exists for a simple reason: product teams are sometimes wrong about why users behave the way they do. Watching someone struggle through a user interface can correct a lot of overconfident assumptions very quickly. User interviews also help. Usability testing helps. But if you stop there, you’ll observe only a handful of people and capture only a few isolated moments.

To fill that gap, data-driven UX research combines a close-up view, conversations, testing, and observation with behavioral data from real usage—data from analytics, experiments, surveys, and logs. Figure 1 compares two types of UX research: qualitative research and quantitative research. Read More

Online shopping is no longer an occasional activity. For many users, it’s a daily habit. Recent consumer research shows that US shoppers make purchases online two to three times more frequently than buyers in the UK or Canada, and nearly 60% of Millennials shop online at least once every week. That means an ecommerce Web site is a brand’s full-time storefront, salesperson, and cashier.

Thus, a brand’s ecommerce store must offer an amazing user experience that is tailored to its customers’ needs. The non-negotiables for a digital storefront aren’t about aesthetic preferences or design trends. They are operational requirements. This article will help you better understand an ecommerce business, then correct any existing gaps to drive conversions and ensure a successful ecommerce venture. Read More

When we design artificial intelligence (AI) with clear intent, we can make products feel simpler, more supportive, and easier to use. With most digital products beginning to incorporate AI, teams have a great opportunity to build truly AI-first experiences that support users in meaningful ways.

AI-first products are purposeful. They adapt as people work, handle uncertainty with care, and respond in ways that build users’ confidence. Instead of directing users, AI works alongside them as a supportive partner, prioritizing cooperation as much as automation.

However, while AI models are getting faster and more efficient, user experience problems are escalating. We need to rethink intention, trust, and feedback loops from a UX design perspective. At the same time, as systems learn and change, we must protect user control. In this article, I’ll explore what AI-first means and explain how we can design better AI-driven user experiences. Read More

For a long time, UX research moved slowly. We told ourselves that rigor took time, even when we spent most of that time watching recordings of which we already knew the outcomes or manually tagging participant quotations that all said roughly the same thing.

When stakeholders complained about our lack of speed, the answer was often: that’s just how research works. Then everything changed around us in ways that has impacted our work, as follows:

• Remote testing made it easier to run usability studies, but harder to keep up with the findings came out of them.
• Surveys got longer.
• Session replays multiplied.
• Support tickets became one of the richest sources of user insights, but also the easiest to ignore.
• Artificial intelligence (AI) arrived as a workaround. Someone turned on autotranscription and stopped dreading user interviews.
• Another researcher used a clustering tool just to see whether it could help, then realized that patterns had surfaced that they probably would’ve missed when tired on a Friday afternoon.

This article is about what’s already happening: AI is becoming embedded in UX research workflows, changing how teams prepare studies, connecting signals across data types, and deciding what’s worth acting on next. Read More

Every UX Design team experiences that moment when something feels off, users are clearly struggling, metrics are wobbling, and everyone quietly agrees there’s a problem. After a meeting, a few Jira tickets get reshuffled and the issue dissolves into the background. Not because it’s small, but because it’s uncomfortable. Such problems sit at the intersection of design, culture, and accountability, which makes them easy to acknowledge, but even easier to avoid.

The irony is that UX Design teams talk constantly about empathy, user centricity, and making evidence-based decisions. However, when ideas point toward a structural flaw in how work gets done, a team’s momentum often evaporates. The problem is not a lack of insight or talent. It’s the collective habit of treating certain design failures as inevitable rather than fixable. Read More

Artificial Intelligence (Al) is no longer just a futuristic idea. It is already in use in the applications that people use every day, from personal recommendations to filing for unemployment, checking the status of benefits, or renewing a driver’s license. By harnessing the power of AI, governments are helping citizens to access essential services such as healthcare, tax filing, legal aid, and documentation. But navigating government Web sites is often a complex, time-consuming, and frustrating experience for both government employees and citizen users.

Some government contact centers just aren’t yet where they need to be. Their development teams are often overwhelmed, with a never-ending backlog, juggling disconnected systems, and wasting time on repetitive tasks that AI could easily automate—for example, answering routine queries, sorting documents, or guiding users through filling out basic forms. Now that the public’s expectations are higher, it’s important for governments to avail themselves of the opportunity of using Al to improve their citizens’ lives, enhance accessibility, and grow their economy. Doing this can build trust in public services and improve service delivery. In this article, I’ll explore some key ways in which AI can enhance the user experience of government Web sites. Read More

In our fast-paced world, users who are adopting new software tools or trying a new Web site don’t want to waste their time on a long onboarding process. That’s why many Web-site owners are trying to find ways of engaging users. If you are thinking about adding a user-onboarding tool to a Web site, this article will guide you through the process. You’ll learn about the basics of user onboarding, its benefits, and strategies that can help increase user retention and grow a business.

What Is User Onboarding?

The process of onboarding users involves helping them easily understand the onboarding process once they’ve signed up for a product or service. An onboarding process typically includes a set of simple instructions, a short tour of the features, and step-by-step guidance. The main goal of user onboarding is to help users quickly see how a product can help them and encourage them to use the features of an app or tool. Companies such as Duolingo, Slack, and Notion use these simple walkthrough processes to prevent users from becoming confused. Read More