UX Magazine
VerifiedOnline/Digital
UX Magazine is a free community resource exploring all facets of experience design. We work closely with practitioners and industry leaders versed in all areas of UX to provide a steady stream of engaging and useful content.
As our field continues to grow in size, implementation, and scope, we’re putting a premium on resources that explain at how UX fits into technological endeavors, customer experience strategies, project planning, and organizations of every stripe. In partnership with our Design for Experience initiative, we’re also working to broaden and deepen the conversations and thinking surrounding user-centered research and design.
All article content in UX Magazine is subject to editorial approval and primary editorial responsibility rests with our staff. UX Magazine is a serial, online publication, and our ISSN is 2168-5681 Source
Actions
Media Outlet details
| Scope | National, Trade/B2B |
|---|---|
| Language | English |
| Country | United States of America |
Similarweb UVM
|
Request pricing |
Comscore UVM
|
Request pricing |
Recent Articles
Search ArticlesUsurper, My Collaborator
For as long as I can remember, I’ve wanted to be a writer. As a chosen occupation, it’s been rocky and mercurial. High highs. Low lows. I’ve written magazine features, screenplays, and newspaper cover stories. I’ve also penned advertorial restaurant reviews and step-by-step instructions on how to get personalized plates from the DMV. What’s kept me at it, is the opportunity to learn new things.
They Still Don’t Work for You
In 2023, sitting down with Robb Wilson and guest host Michael Salamon, Don Scheibenreif said something about the assistants already living in most of our homes: "Most people won’t realize that Siri, Alexa, they work for Apple and Amazon. They don’t work for you. They serve you." He also left a question hanging. "But do we need our own bots that work for us to be our true agents? That does not exist right now.
Selling to Machines—Episode Transcript
This transcript is part of the Selling to Machines ideation cluster. Open the Ideation hub for the full set of pieces. Josh Tyson 01:44 Well maybe maybe to kick us off, Don, when when you were on the show back in twenty twenty three, you mentioned that, you know, we'd hit the hit the trough eventually with generative AI. we're we're sort of in it now, right? There's a lot of sort of false promises and confusion in the marketplace.
Record Revenue Is What Peaking Looks Like
Google just posted some of the best quarters in its history. Search revenue up 15 percent year over year.1 Meta up 33.2 If you wanted proof the attention economy is fine, there it is. I think it’s the wrong number, and if your business depends on being found, chosen, or bought, here’s my argument as to why. The money is the last to know Ad revenue doesn’t measure what people are doing. It measures what advertisers believe people are doing, and advertisers budget on habits formed years ago.
BOOK EXCERPT: The Power of Giving Away Power
Introduction Pretending is exhausting. So it’s surprising how many of us get up every day and do exactly that under the banner of leadership. Pretending that we know the precise destination, what steps in what order are required to get there, and how any unexpected obstacles can be cleared away as we drive toward an inevitably successful outcome. All the while projecting supreme confidence.
You Can Build AI Agents in a Day, Governing Them Never Ends
Construction has an end date. Accountability does not. That asymmetry is where enterprise AI risk is accumulating in 2026. Agentic AI governance is the continuous work of registering, constraining, and monitoring every AI agent an enterprise runs. Building an agent has a finish line. Governing one lasts as long as the agent stays in production, and the obligation passes to whoever inherits it. Many large organizations have already crossed the line where this matters.
AI Can Teach. But Can It Be a Teacher?
The best teachers aren't optimized. They're remembered. Cover image by Tamanna Rumee We're comfortable imagining AI replacing jobs. What we resist, almost instinctively, is imagining AI replacing the people who guide us. Politicians, teachers, and mentors. This issue is about why that resistance isn't just emotional. It might be one of the most important design constraints of our time. AI can teach. But can it be a teacher?
The Evolving Design Process
The design process is changing fast. AI tools can now generate wireframes, UI concepts, polished screens, flow variations, copy, and even implementation-ready front-end starting points in minutes. Work that used to move through slower handoffs between product, design, and engineering is starting to happen inside tighter shared loops. More people can create design artifacts earlier. More options appear faster. More of the process becomes visible to more of the team.
Save time and money with AI by running toward the pain
There’s a particular tiredness that shows up in AI programs right about the time the demo stops being cute. You’ve got a stack that was supposed to make you faster—Foundry, Salesforce, a coding agent, a process bot with a confident name. You can feel the almost. The workflow runs until it doesn’t. The dependency graph looks fine until someone asks for a change. The pilot is "successful" because the team quietly removed the hard part and presented the rest under better lighting.
Structure Before Features
For the companion UXM essay, see Save time and money with AI by running toward the pain. Transcript Josh Tyson 00:00 Evan, it's great to see you again. Welcome welcome to the show. Evan J. Schwartz 00:03 Same, missed you guys. Hopefully you've been super busy since we caught up. I know I have been. Josh Tyson 00:07 We have.