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UX Insights - User Experience Leadership and Strategy

UX Insights - User Experience Leadership and Strategy

Written by: Paul Boag
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Need quick, actionable insights to sharpen your UX leadership and strategy? Short on time but eager to grow your influence? UX strategist Paul Boag delivers concise, practical episodes designed to enhance your strategic thinking, leadership skills, and impact in user experience. Each bite-sized podcast is just 6-10 minutes—perfect for busy UX leaders and advocates on the go.Boagworks Ltd Economics
Episodes
  • Generative Imagery: Stop Settling for Stock
    Jan 22 2026
    If you've been reading this newsletter for a while, you'll have noticed I tend to focus on the big-picture stuff: organizational change, building design culture, getting stakeholder buy-in. This week I'm doing something different and getting into the weeds on generative imagery, a tool that's become part of my daily workflow. I'm genuinely curious whether you prefer the strategic content, the practical how-to pieces, or a mix of both. Hit reply and let me know.Generative imagery is quickly becoming an essential tool in the modern designer's toolkit. Whether you're a UI designer crafting interfaces, a UX designer building prototypes, or a marketer creating campaign visuals, the ability to generate exactly the image you need (rather than settling for whatever stock libraries happen to have) is genuinely useful.The Ethical DimensionThere's an ethical dimension here that makes me uncomfortable. Using generative imagery does, in theory, take work away from illustrators and photographers. I don't love that. But I also recognize that this is a pattern we've seen throughout history. Technology has consistently made certain professions more niche rather than making them disappear entirely. Blacksmiths still exist. Vinyl records still sell. And I suspect custom photography and illustration will follow the same path, becoming more specialized rather than vanishing completely.Besides, if we're being realistic, most of us weren't commissioning custom photography for every project anyway. We were pulling images from stock libraries, and I can't say I'll miss spending 45 minutes searching for a photo that almost works but has the person looking in the wrong direction.So with that acknowledged, let's get into the practical side of things.When to Avoid Generative ImageryBefore diving into how to use these tools well, it's worth noting when you shouldn't use them at all. Generative imagery has no place when you need to represent real people or real events. If you're showing your actual team, documenting a real conference, or depicting genuine customer stories, you need real photography. Anything else would be misleading, and your audience will likely spot it anyway.Why It Beats Stock LibrariesFor everything else, though, generative imagery offers some serious advantages over traditional stock. You can get exactly the pose you want, in exactly the style you need, matching your specific color palette. No more "this photo would be perfect if only the person was looking left instead of right" compromises.This matters more than you might think. Research suggests that users form initial impressions of a website in roughly 50 milliseconds. That's not enough time to read anything. Those snap judgments are based almost entirely on imagery, layout, color, and typography. The right image doesn't just look nice; it shapes how users feel about your entire site before they've processed a single word.Imagery also gives you a powerful tool for directing attention. A well-chosen image can guide users toward your key content or call to action in ways that feel natural rather than pushy.The right image composition can draw attention to critical calls to action.Copyright and Commercial UseBefore you start generating images for client work, you need to understand the legal landscape. And yes, it's a bit murky.The short version: most major AI image generators allow commercial use of the images you create, but the terms vary. Midjourney allows commercial use for paid subscribers. Adobe Firefly positions itself as "commercially safe" because it was trained on licensed content and Adobe Stock images. Google's Nano Banana Pro (accessible through Gemini) also permits commercial use.The murkier issue is around training data. Several ongoing lawsuits are challenging whether AI companies had the right to train their models on copyrighted images in the first place. These cases haven't been resolved yet, and depending on how they play out, the landscape could shift.For now, my practical advice is this: use reputable tools with clear commercial terms, avoid generating images that deliberately mimic a specific artist's recognizable style, and keep an eye on how the legal situation develops. For most standard commercial work (website imagery, marketing materials, UI mockups), you should be fine.Choosing the Right Tool: Style vs. InstructionsWhen selecting which AI model to use, you're essentially balancing two considerations: stylistic output and instructional accuracy.Stylistic OutputEvery model has its own aesthetic fingerprint. No matter how specific your prompts are, Midjourney images have a certain look, and Nano Banana images have a different one. You need to find a model whose default aesthetic works for your project.Instructional AccuracyThe other consideration is how well the model follows detailed instructions. If you need a specific composition (person on the left, looking right, holding a coffee cup, with a window behind them), some models ...
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    10 mins
  • Be a contributor, not a lurker
    Jan 15 2026

    If you are having a rough time in the industry right now, you are not alone.

    I keep hearing the same two stories.

    People applying for job after job and hearing nothing back.

    Freelancers and agency owners finding that work is not arriving the way it used to.

    It is tempting to blame the economy, AI, or whatever headline is currently doing the rounds. Sometimes those things are genuinely part of the story.

    However, one factor we can control is whether people outside our immediate team know who we are, what we are good at, and what we care about.

    Be a contributor, not a lurker

    Most opportunities come through people.

    Clients often hire because somebody they trust says, “Talk to them.” Hiring managers do the same thing, tending to hire via friends of friends.

    Even if you are not looking for a new job or chasing new clients, your reputation still matters. It shapes your credibility in the role you are in right now.

    If colleagues can see that you are respected outside your organization, and they see you sharing your expertise in public (even quietly), it tends to raise your internal credibility too.

    That does not mean you need to become an internet personality. It means you want to be findable and referable.

    The easiest place to start is simply showing up

    When people hear “build your personal brand,” they often picture loud self-promotion, forced networking, and a never-ending content treadmill.

    No wonder it makes so many people feel uncomfortable.

    A lot of the resistance comes from perfectly reasonable places:

    • Self-promotion feels awkward.
    • Networking can feel fake.
    • Impostor syndrome whispers that you have nothing to offer.

    Fortunately, there is a gentler route. You can build a reputation by being useful, consistently.

    That can look like:

    • Posting thoughtful experiences and ideas on social networks, and then sticking around to engage with the responses.
    • Helping organize a local meetup.
    • Chipping in regularly in Slack groups, forums, or Discord communities.
    • Being active on LinkedIn by commenting thoughtfully on other people’s posts, and occasionally having a quiet chat in DMs.

    The point is not volume. The point is being present.

    “But I do not have anything worth saying”

    If you have ever thought that, welcome to the club.

    A simple reframe helps.

    Instead of trying to share “best practice,” share experience.

    You can write things like:

    • “In a client meeting this week, we ran into this problem. Here is how we handled it.”
    • “We tried this approach and it did not work. Here is what we would do differently next time.”
    • “A stakeholder pushed back on research. This argument helped.”

    Nobody can reasonably attack you for reporting what happened and what you learned. You are not claiming to be the all-knowing oracle of UX. You are just being a person doing the work.

    In fact, the stuff you struggle with can be just as useful as the stuff you have mastered. People are often far kinder than your brain predicts, especially when you share what you learned the hard way.

    You can mine your day job for content (without making it weird)

    A lot of what I share online comes straight out of conversations.

    Like most people, I record many meetings. Then I grab the transcript and ask an AI tool to identify a few themes that might make useful posts.

    It is surprising how often a “boring meeting” contains an insight that would help somebody else.

    If you do this, be sensible about confidentiality. Strip out client details. Keep it focused on the pattern, not the organization.

    Contributing helps you think

    There is another benefit that gets overlooked.

    When you share an idea, even one that is half-formed, you are forced to clarify what you mean, find the edges of your thinking, and learn faster because you are teaching.

    Writing is basically thinking with friction. It is annoying, but it works.

    Do not let AI turn you into a spectator

    AI makes it easy to get answers.

    That is useful, but there is a risk. If all we do is consume, we slowly lose the community spirit that made the early web so valuable.

    So if you want a simple goal for 2026, try being a little less of a spectator and a little more of a participant.

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    5 mins
  • What I'm seeing for UX as we move into 2026
    Jan 8 2026
    Every year around this time, I start seeing the prediction pieces roll in. "The year of X!" they declare. "Y will change everything!" And every year, I find myself wincing a little, because most of these predictions age about as well as milk left on a radiator.So rather than trying to predict the future (I learned my lesson after confidently declaring QR codes were dead in 2019), I want to talk about what I'm seeing among the UX professionals I work with, and what I think it means for 2026.The uncomfortable realityLet me start with the bit nobody wants to hear. UX is on the corporate chopping block again. If you've been in this industry long enough, you'll recognize the pattern. We saw it after the dot-com bust. We saw hints of it during various economic downturns. And we're seeing it now.Some folks think rebranding will save us. We tried that before, remember? We went from "usability" to "UX" and it bought us some time. But slapping a new label on the tin doesn't change what's inside.The interesting thing is that the World Economic Forum still lists UX as a growth area. So what's going on? I think we're seeing a split forming between two very different types of UX work: the shallow, template-driven kind that AI can increasingly handle, and the messy, human-centered kind that requires judgment, taste, and the ability to navigate complex organizational dynamics.The shallow end is drainingTemplates and processes won't cut it anymore. If your approach to UX is downloading frameworks and following checklists without much critical thinking, 2026 is going to feel uncomfortable. Because AI can do that now. And it does it faster.The UX professionals who thrive will be the ones with uniquely human skills. Critical thinking. Taste (yes, that subjective, hard-to-define thing your design school professor tried to explain). The ability to navigate messy organizational dynamics without making enemies. These soft skills are becoming more valuable than knowing your way around Figma.I've watched people who can facilitate a difficult stakeholder workshop bring more value to a project than someone with impeccable wireframing skills. Because the wireframes don't matter if nobody in the organization trusts them.AI is growing up (finally)The frantic "add AI for AI's sake" phase is mercifully winding down. I've lost count of how many product features I saw last year that felt like someone had desperately searched for a place to stick a chatbot, found nowhere sensible, and stuck it there anyway.Now we're moving into what I'd call the implementation phase. Organizations are finally asking "What problem does this actually solve?" rather than "How can we say we have AI?" This is genuinely good news for UX people. Because that question, that focus on real user needs, is exactly where we add value.This is our chance to demonstrate what we bring to the table. Not by fighting AI, but by being the people who understand how to apply it thoughtfully.What you might consider doing about all thisI've been thinking about what separates the UX people who feel energized right now from the ones who feel anxious. A few patterns keep emerging.Get comfortable with messUX work has always been messy, but I think some of us (myself included, at times) got a bit too attached to neat processes. Context matters more than frameworks. A template is a starting point, not a destination. If you find yourself downloading more frameworks than talking to actual users, it might be worth recalibrating.I've come to think of UX methods as a toolkit rather than a linear process. Instead of pushing every project through the same sequence of steps, you assess what the situation actually needs and reach for the right tool. Sometimes that's a full discovery phase. Sometimes it's a quick guerrilla test. The skill is knowing which to use when, not memorizing a fixed sequence.The people who seem to thrive actually enjoy that messiness. They see ambiguity as interesting rather than threatening.Wear more hatsThe boundaries between UX and other disciplines are blurring fast. I've been encouraging people to pick up knowledge in adjacent areas: systems thinking, data modeling, business strategy, even marketing. Not to become experts in everything (impossible), but to speak enough of the language to collaborate effectively.AI actually makes this more achievable than ever. You don't need to be an experienced developer to build a quick demo anymore. If you have a basic understanding of how development works, AI can help you create functional prototypes that would have required a developer's time before. The same applies to data analysis, content strategy, even basic marketing automation. A little knowledge, combined with the right AI tools, goes a surprisingly long way.Take control of your AI storyI wrote about this recently on Smashing Magazine, but it bears repeating. Take control of how AI shapes your job. Don't wait for someone else to do it for you, because they will, and ...
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    8 mins
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