UX News
A look at what's going on in the field of user experience.
Watch out: Gemini is coming for your Google Workspace
, UX Collective - Medium
The race for AI-powered work tools heats up
AI is reshaping UI — have you noticed the biggest change yet?
, UX Collective - Medium
AI is reshaping UI — have you noticed the biggest change yet?AI is reshaping interactions as we know them, driving a new UI paradigm. Let’s break down how.Goodbye commands, hello intentThe way we interact with software is anything but static. Sometimes it’s a gentle evolution, other times a jarring leap. Today, a growing wave of design pioneers, including Vitaly Friedman, Emily Campbell and Greg Nudelman are dissecting emerging patterns within AI applications, mapping out the landscape that refuses to stand still. At first glance, this might seem like yet another hype cycle, the kind of breathless enthusiasm that surrounds every new tech trend. But take a step back, and a deeper transformation becomes apparent: our interactions with digital systems are not just changing; they are shifting in their very essence.
Imagine the transition from film cameras to digital photography — suddenly, users no longer had to understand exposure times or carefully ration film. They simply clicked a button, and the device handled the rest.
The effort paradox in AI design
, UX Collective - Medium
Why making things too easy can backfireIn our rush to automate daily tasks with AI, we risk reliving product design mistakes from long ago.
We can learn a lot from Betty Crocker and IKEA.
The end of design certainty
, UX Collective - Medium
Why AI forces us to embrace emergence instead of clinging to control and understandingMade by Patrick Morgan with MidjourneyAnthropic CEO Dario Amodei’s recent podcast with Lex Fridman caught my attention with an observation that keeps replaying in my mind. Even as his team works to understand and interpret AI models, he acknowledged a surprising truth:
There’s no reason why [AI models] should be designed for us to understand them, right? They’re designed to operate, they’re designed to work. Just like the human brain or human biochemistry. They’re not designed for a human to open up the hatch, look inside and understand them.This statement gave me pause. It challenges something deeply ingrained from the last generation of software design: the idea that we must fully understand how something works in order to consider it a valid solution. For years, we’ve doubled down on the belief that ‘data-driven’ design can eliminate uncertainty. The idea is that to make something effective, we first have to deconstruct it, grasp every nuance, and then carefully engineer it into existence.
How Much Should You Over-Recruit?
, MeasuringU
A lot goes into planning a moderated session such as a usability test or an in-depth interview. And recruiting qualified participants is an essential step in making those sessions successful.
However, recruiting is time-consuming and often frustrating. There’s a sort of Murphy’s Law in recruiting (and in product demos)—the Stakeholder Corollary:
Why I Stopped Applying For UX Jobs (And Why You Likely Will, Too)
, UX Planet - Medium
The realities of tech and the grim future that lies ahead
Figma and the enshittification of Product Design
, UX Planet - Medium
How profit-focused software has delegitimized the entire design industry
The design community is no longer grounded anywhere, anymore.
, UX Planet - Medium
Dribbble, Linkedin, Reddit, Discord… where are we, anyway?
How LinkedIn (and Other Products) Play With Our Minds: The Psychology Behind The Nudges
, UX Planet - Medium
The Science of Attention: A Playbook for Engagement
Three Types of Percentages
, MeasuringU
It’s common in UX research to encounter percentages:
90% task completion rates 10% reduction in time 250% increase in mean scores −20% Net Promoter Score −10% new UX jobs Despite their familiarity, their interpretation can be tricky because the same term (“percentage”) is associated with distinctly different concepts. The three key types are:
