Interactivity used to feel like a gift. Micro-animations, clever transitions, and hover states promised delight, modernity, and proof that someone cared enough to design beyond the bare minimum. But somewhere along the way, that promise soured. What started as an enhancement became an obligation. Users must work through user interfaces that demand their attention and patience and require interpretation before delivering basic value.

Most people never articulate their frustration about such interactions. They won’t complain about the hover delay on a drop-down menu or an animated onboarding flow that refuses to let users skip it. They’ll simply become fatigued. They’ll hesitate, misclick, or abandon and move on. Over-interactive design rarely triggers users’ outrage. It slowly erodes users’ trust, which teams often misread as churn, disinterest, or a poor onboarding experience rather than design excess. Read More

UX design shapes the ways in which people interact with products. It comprehends page layout, navigation, microcopy, form fields, and performance. A strong UX design means users move through a flow with confidence. A weak UX design? They become confused and decide to leave. UXmatters has published many articles that cover the fundamental principles of great UX design.

In this article, I’ll cover the key design principles to apply to boost conversion rates. The conversion rate is the percentage of users who complete a desired action—whether buying a product, starting a trial, booking a demo, or signing up for a newsletter. Every extra click or unclear label adds friction, perhaps pushing a conversion just out of reach. But the same choices that improve the user experience also improve conversion rates.

Every design decision shapes the user’s journey toward conversion. When you reduce friction and create easy-to-follow pathways, you’re guiding users to take actions that benefit both them and your business. Read More

The era in which user interfaces manifested as passive digital tools is ending. We are entering the era of agentic artificial intelligence (AI). Agentic AI systems do not just wait for users’ clicks or prompts; they actively plan, use tools, and execute multi-step processes to achieve goals on our behalf.

For UX designers, this is a seismic shift. We are no longer designing static screens for users to navigate; we are designing behaviors, trust protocols, and hand-off points for human supervisors. To do this, we must evolve our foundational design frameworks. In this article, I’ll compare the traditional double-diamond design process with an agentic Al approach, explore how to integrate agentic elements into existing UX design methods, and suggest some standard guidelines. Read More

For years, product teams focused on usability. Could someone complete a task? Was the user interface understandable? Were buttons where people expected them to be? But that baseline is no longer enough.

Products now make decisions on behalf of users. They recommend and filter. Prioritize and predict. The center of User Experience has moved from helping people act to helping systems decide well. This article describes seven way in which this paradigm shift changes everything. Read More

Card sorting has been a cornerstone of information architecture for decades. This method works well because it lets real people show you what they think. You can hand participants a set of labeled cards representing pieces of content, ask them to group the cards in whatever way makes sense to them, then study the patterns that emerge. The result: a window into users’ mental models that no amount of internal brainstorming could replicate.

However, the conversation around card sorting is changing. Artificial intelligence (AI) tools can now generate category structures in seconds. Large language models (LLMs) such as ChatGPT and Claude can sort a list of 40 content items into plausible groupings without your needing to recruit a single participant. Some teams have started asking whether traditional card sorting is still worth the effort. Others have gone even further and entirely replaced participant research and information architecture with AI outputs.

Both reactions miss the mark. AI does not make card sorting obsolete, but it does change how smart teams should use it. In this first installment of my new column Structuring Success, I’ll share what AI can and cannot do for card sorting, illustrate the differences that AI can make with real product examples, and offer a practical framework for combining human insights with AI’s speed. Read More

During the season of New Year’s resolutions, you might already have lined up several self-improvement goals. Hopefully, you’re succeeding in building consistent habits and systems, but perhaps you’re already losing momentum. Whether you’re thriving, struggling, or feeling stuck, I invite you to consider this new resolution: Be bored more often.

Boredom is actually a skill you can learn that is surprisingly valuable and can even help you discover more profound insights. In this column, I’ll share why embracing boredom is important; how it can boost creativity, especially for those of us in the UX design community; and what you can do to foster boredom by exploring

• the drawbacks of overstimulation
• why boredom can be a superpower
• how to be bored more often Read More

In most civil cases, plaintiffs must meet the standard of a preponderance of evidence, showing that their claims are more likely true than not. More serious civil matters often require clear and convincing evidence, a higher bar. But at the top of the trust hierarchy—as is familiar to anyone who’s watched a courtroom drama—is beyond a reasonable doubt, the near-certainty that we typically reserve for criminal cases.

However, today, as trust in major institutions is eroding—from the government to technology to healthcare—this highest standard of proof is beginning to bleed into our everyday lives, as we make consumer decisions, both big and small. People aren’t simply asking what a brand is saying; they’re demanding to know whether its statements hold up under scrutiny and it is delivering on its brand promise. Read More

Perfection is often a goal of UX design: seamless user interfaces, frictionless workflows, and zero confusion. But the more we endeavor to iron out every flaw in a design, the more we risk erasing the human touch that makes user experiences memorable. In actuality, when we handle imperfections intentionally, they can create warmth, character, and trust. They remind users that there’s a human element behind the pixels—and that can be far more powerful than flawlessness.

The Illusion of Flawless Design

Perfect UX design often feels sterile. If every single transition, icon, and microinteraction works too smoothly, it can create a sense of detachment in users. People don’t interact with user interfaces just to complete their tasks; they interact with systems that mirror human dynamics. Read More

In modern product design, validating UX design hypotheses and ideas quickly is crucial. Traditionally, UX designers have created static screens in Figma, then built a clickable prototype—a process that can take days and often leaves gaps between mockups and the product’s actual logic.

By using artificial-intelligence (AI) driven tools like Lovable and Cursor, you can help bridge these gaps. These tools let you generate interactive prototypes and test UX design workflows before writing a single line of production code. In this article, I’ll show you how to set up an AI-powered pipeline, share example prompts, and discuss the key advantages and limitations of this approach. Read More