One predictable pain point with contrast-color() is that it only returns black and white named colors. From a design systems perspective, that's not ideal because you want your colors. You want your harmonious brand and the colors you and your team spent thousands of man hours in meetings deciding on. Those colors. In fact, an earlier version of Safari had color-contrast() (confusing I know, naming is hard) which allowed you to pass in a list of best candidates to choose from. I beleive that proposal got mired in standards discussions, color contrast algorithms, and competing proposals; and contrast-color() is what survived which got simplified down to a binary result.
Did you know you can tag Figma in ChatGPT chat and prompt it to do design work? In this article, I want to share my top 4 favorite use cases for using Figma right in the ChatGPT chat window. 1. Instant design critique for real screens What to know what other people think about your design, but don't have access to real users? No problem, you can use ChatGPT for that.
I've lost count of the number of times I've tried to explain, in practice, many of the success criteria of the Web Content Accessibility Guidelines, better known by the acronym WCAG. The same number of times I've tried to explain them, I've seen the WCAG guidelines presented in many contexts (articles, lectures, webinars, etc.) as a reference to be shared with teams so they can begin the work of implementing and correcting the accessibility of their digital products and services.
"You know, having those conversations early on, reaching out to people in different departments ...that was really hard when I didn't have much confidence.” A VP of Design brought this up recently, reflecting what many designers are facing. There's been a crisis of confidence in design, and it's happening all across the career ladder. Due to shrinking budgets and layoffs, more designers are being forced to work solo.
Software used to feel separate from us. It sat behind the glass, efficient and obedient. Then it fell into our hands. It became a thing we pinched, swiped, and tapped, each gesture rewiring how we think, feel, and connect. For an entire generation, the connection to software has turned the user experience into human experience. Now, another shift is coming. Software is becoming intelligent. Instead of fixed interactions, we'll build systems that learn, adapt, and respond.
We're witnessing the birth of a new kind of designer: The AI Designer. Designers who work in evals, prompts, and tool calls. Designers who have as much of a taste for models as they do for fonts. Designers who think in mental models, agents, and intelligence.
Information allows us to act more skillfully. Imagine you come to a fork on a road. Without a sign, you'd need a compass or a great sense of direction to choose correctly. But with a clear sign, you'd quickly know which road to take. The sign reduces ambiguity. The Moylan arrow, too, disambiguates a choice. Pulling in on the wrong side of the pump is an annoying inconvenience.
What's coming into sharper focus isn't fidelity, it's foresight. Part of the work of Product Design today is conceptual: sensing trends, building future-proof systems, and thinking years ahead. But besides the current momentum, we still have to focus on real problems that bring real value as of now. This balance is sometimes challenging, but also creates opportunities to reform our thinking and approaches.
In 2016, I presented at @Roblox Indie Game Developer Meetup about design strategy as an indie developer. Back then, I had no idea children as young as 5 were interacting with random adults on their platform. Today, the same company (NYSE: $RBLX) is filled with poorly moderated "games" like Bathroom Simulator and worse - all while letting adults animate their avatars for sexual role play.
The federated model suggests that design system work can be distributed across multiple teams without a central authority. It sounds democratic. It sounds efficient. It sounds empowering. In practice, it creates an ownership vacuum. Who's responsible for defining the architecture of the design system? Who establishes and evolves the processes needed to scale? Who ensures quality and consistency? Who maintains the infrastructure on which the system depends? Who deals with the unknown challenges that will inevitably
Greetings. Can someone please tell me how to get the image on the back of the flip card to fill the card like the image on the front of the card? See attachment with identical image on front and back. I have read the help documentation but did not fine the information needed. Basically, I need the images on the front and back to be the same dimensions. Thank you.
At 90 years old, the "Godfather of UX" isn't slowing down. Don Norman shares why our industry must shift from Human-Centered Design (HCD) to a more systemic, Humanity-Centered (HCD+) approach (image source: Yeo) The Transit That Changed Everything It's a true story: three years ago, a fortunate coincidence brought Don Norman to Singapore for a transit while travelling from San Diego to Shanghai. At that exact moment, Singapore Polytechnic was hosting its annual Design Thinking and User Experience (DT | UX) Summit.
AI tools are now embedded across almost every stage of product design. We use AI to generate ideas, summarize research findings, explore visual directions, write UX copy, and even ship working prototypes. Yet despite widespread adoption, many teams still struggle with a key question: How do you integrate AI into the design process without weakening design quality?
Technology moves fast, but 2025 feels like a distinct era. This year brought gadgets that challenged convention rather than followed it. From keyboards that fold into phone cases to power banks that communicate through light, these innovations prove that great design starts with questioning what we've accepted as normal. The products ahead represent a shift in thinking about portability, interaction, and what our devices should actually do for us.
As AI agents become embedded collaborators in our systems, designers face a powerful and pressing question: Who are we designing for now? Suddenly, we find ourselves in the middle of a new Experience dilemma: designing for both people and programs. That means exploring new personas and reconciling different approaches: emotional intuition, logical execution, and the coherence of both. Let's have a look at the pitfalls of this dilemma and explore what we have to consider while designing for both humans and machines.
The quality of product research directly impacts the outcome of the entire design process. As AI tools become increasingly embedded across different phases of the product design process, including the research phase, it's vital to establish a clear, intentional research process that maximizes design efficiency while reducing business risk from poorly informed or incorrect decisions In this article, I want to share a 3-stage framework I use for AI-powered research.
When we think about people who are deaf, we often assume stereotypes, such as "disabled" older adults with hearing aids. However, this perception is far from the truth and often leads to poor decisions and broken products. Let's look at when and how deafness emerges, and how to design better experiences for people with hearing loss. Deafness Is A Spectrum Deafness spans a broad continuum, from minor to profound hearing loss.
Personalization tools allow users to configure the interface according to their preferences with customizable themes configurable shortcuts and adapted displays ensuring an optimal and intuitive user experience. Advanced search functionalities allow quick location of specific titles using keywords provider names or game mechanic characteristics while personalized recommendations based on gameplay history suggest alternatives likely to match individual preferences. The diversity of content
