This may mark the beginning of Gov.uk’s decline. The top-listed priorities are the very antithesis of starting with user needs. Instead from now on it’s going to be about growth, shiny new technology, having a native app, and literally pivoting to video.
It’ll be interesting to see if they try to maintain their existing design principles while simultaneously abandoning them.
This is a very handy tip if you’re adding view transitions to your website!
If we’re serious about creating a sustainable future, perhaps we should change this common phrase from “Form follows Function” to “Form – Function – Future”. While form and function are essential considerations, the future, represented by sustainability, should be at the forefront of our design thinking. And actually, if sustainability is truly at the forefront of the way we create new products, then maybe we should revise the phrase even further to “Future – Function – Form.” This revised approach would place our future, represented by sustainability, at the forefront of our design thinking. It would encourage us to first ask ourselves, “What is the most sustainable way to design X?” and then consider how the function of X can be met while ensuring it remains non-harmful to people and the planet.
Some great ideas for view transitionts in here! Also:
If you look at any of the examples on a browser that does not support them, the pages still function just fine. The transitions are an extra that’s layered on top if and when your browser supports them. Another concrete example of progressive enhancement in practice.
I’ve managed to convince Paul to come out of the shadows for one last heist—it’s gonna be good!
(And Paul shares a discount for 20% off your UX London ticket!)
User research into deceptive design patterns:
Despite our technological advancement and understanding of human nature, it’s still common to see deception in digital products. To understand digital deception (and better define it), we surveyed 536 people to measure and discuss people’s understanding of this matter.
Of course, users can learn over time what prompts work well and which don’t, but the burden to learn what works still lies with every single user. When it could instead be baked into the interface.
I didn’t know the Washington Post had a design system or that the system has this good section on accessibility.
A short list of opinions on typography. I don’t necessarily agree with all of it, but it’s all fairly sensible advice.
If you look at the available evidence, “craft at scale” is mutually exclusive with the kind of rapid and unending growth that’s the baseline expectation for traditional startups and public tech companies.
We’d say that’s obvious in other industries. Budweiser isn’t craft beer. IKEA isn’t heirloom-quality furniture. But we tend to treat software as immune to the typical relationship between quality and quantity.
I like how Luke is using a large language model to make a chat interface for his own content.
This is the exact opposite of how grifters are selling the benefits of machine learning (“Generate copious amounts of new content instantly!”) and instead builds on over twenty years of thoughtful human-made writing.
Stéphanie has gathered a goldmine of goodies:
Articles, resources, checklists, tools, plugins and books to design accessible products
In design, both in the digital and physical worlds, color should never be the sole indicator of meaning. A simple test: if your work was converted to grayscale, would it still be usable?
Andy describes life online with deuteranopia and dispenses some practical advice for designers:
If there’s any uncertainty, adding labels, icons, or textures to each meaningful color of your design will make it accessible to many more people, regardless of their ability to perceive color.
Every day, a new marketing email, Medium post, or VC who will leave Twitter when they’re cold in a body bag tells us that machine learning (ML, which they call AI because it sounds more expensive) is going to change the way we work. Doesn’t really matter what your job is. ML is going to read, write, code, and paint for us.
Naturally, the excitement around ML has found its way into the design systems community. There’s an apparent natural synergy between ML and design systems. Design systems practitioners are tantalized by the promise of even greater efficiency and scale. We wish a machine would write our docs for us.
We are all, every single one of us, huge fucking nerds.
Here’s an aggregator of components from multiple design systems.
Ethan highlights a classic case of the McNamara Fallacy—measuring adoption of design system components.
Oliver asked me some questions about my upcoming talk at Pixel Pioneers in Bristol in June. Here are my answers.
So then the question becomes: how do you most effectively communicate designs, to facilitate the best discussions about those designs? My answer is: lots of little prototypes built with HTML, CSS, and JavaScript.
It doesn’t bother me much that bleeding-edge ML technology sometimes gets things wrong. It bothers me a lot when it gives no warnings, cites no sources, and provides no confidence interval.
Yes! Like I said:
Expose the wires. Show the workings-out.