Tag Archives: UX Strategy

The world doesn’t need another post on Ai and creativity, but here’s one anyway

Apropos of nothing, I keep circling back to Bjarke Ingels’ throwaway observation he shared recently on Instagram about Ai prompting feeling a bit like briefing a team. You describe an intention, something comes back, you adjust. Anyone who’s spent time in a design or strategy studio recognises that scenario instantly, the loose sketch of an idea, the return volley, the shrug, the “maybe try it with less… erm whatever that is.” It felt like it was a nice clean analogy and I was nodding along.

But a studio isn’t a stochastic mirror. It’s a small society of taste and memory. People remember your last terrible idea. Someone raises an eyebrow when a line of copy looks off or a Figma file has gone fully feral. Someone else brings up the project you swore you’d never repeat. The feedback loop is human, textured, occasionally bruising. There’s judgement, shared reference points, work blue-tac’d up on the walls and a quiet sense of “let’s not embarrass ourselves again.”

This is where Ingels’ analogy starts to wobble. When you brief a human, you’re drawing on their judgement, experience, and the unspoken etiquette of a team. When you brief Ai, it behaves nothing like a junior designer and everything like a very confident autocomplete. It gives you the shape of participation without the substance. A colleague can resist you, encourage you to slow you down, challenge the premise. A (poorly prompted) model can’t. It just accelerates whatever direction you gesture toward, even when said direction is wafer thin.

And that, dear reader, is the seduction.

You type a mood, an intention, a half-formed thought, and it hands you an almost-finished artefact that looks uncannily like something you might have made if you’d only had more time or fewer meetings. The danger isn’t metaphysical (“is it creative?” please f- off, of course it is, have you actually looked up the definition of creative?1). The danger is how easy it becomes to confuse fluency with thought.

In my view, craft survives when you know what good feels like before you’ve picked up the pen or clicked New Document. And that’s the bit people don’t want to hear. The reasoning, the taste, the internal guardrails — they’re all invisible, they take years. Instead we’ve bred a culture (particularly evident on LinkedIn) where commentary stands in for competence, and Ai’s instant coherence makes that substitution feel almost legitimate.

I’m genuinely unmoved by the theological wrangling over whether Ai creates. If it’s parrot or Picasso. It’s a probabilistic parlour trick. What matters is simpler: whether the person using it can spot when the output stops making sense and is in fact bullshitting. Shallow but shiny. A calculator is harmless until someone who never learned to add starts doing the accounts. As the kids say “Same energy”.

Used properly, Ai is a fast way to think aloud, and as a sole practitioner, it’s become one of my favourite ways to work. It’s my pressure valve. A drafting companion. It pushes out variations I’d never have the patience to make by hand. But it only works because I already have a decades long sense of structure and gut instinct, the bit that quietly mutters “nope, that’s wrong”, or more accurately “what the actual fuck?” before I can articulate why. Without that, the tool becomes the teacher, and its blind spots become your worldview. I keep thinking about graduates walking straight into roles heavily emboldened by Ai before their judgement has even started to calcify and in that sense it’s a bit like giving a BMW M3 to someone who’s just passed their test. The horsepower arrives long before the skill that stops you putting in a hedge.

This is why the creative and consultancy industries feel brittle. So many people want the polished thought without the unglamorous labour that gives it heft. They want the sketch without the sketching. The judgement without the years that make judgement possible. And Ai, obliging thing that it is, makes that performance look convincing enough to fool the untrained eye, and sometimes even the trained one.

None of this makes the technology good or bad. It just makes it pretty shouty. And once a tool starts talking back, the responsibility shifts to the person holding it. Which is really just to say: the work doesn’t get better because the software is clever. It gets better because someone in the room still knows what good feels like.

AI: This piece was assisted with Ai. I used it for the tags, excerpt, the image generation and a little sub-editing. The ideas, references, and anecdotes were, however all mine.

  1. If you want the long version of why the question “Is Ai creative?” is a trap, Lisa Talia Moretti does a tidy job of dismantling it. She walks through the mess of competing definitions, points out the extent of human labour and data sit behind every so-called “creative” output, and ends up arguing that generative Ai is better understood as a medium than a tool. ↩︎
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Time Returned, Time Resold

Rain-blurred motorway at dusk viewed through a windscreen; dashboard lights glow amber in an empty driver’s seat — a quiet image of autonomy and time unclaimed.
Autonomy promised freedom. Instead, it gave us metrics.

Every few years a new invention turns up promising to give us time back. The dishwasher did it, then the calendar app, now the self-driving car. Efficiency, they say, is liberation. But the minutes never come home. They’re quietly re-employed: answering messages that weren’t urgent until we saw them, scrolling through news we already half-read. We don’t get more time. It just comes back wearing a different outfit.

Design now speaks the intoxicating language of generosity. We’ll save you clicks. We’ll make it seamless. Lovely words, but they come with a tempo you didn’t choose. The system nudges, reminds, congratulates you on your streak. Even the oven chirps when it’s done pre-heating. Helpful, yes – in the way a personal trainer is helpful when all you wanted was a walk.

Efficiency was meant to hush the world, not make it chatter. Parcels update you mid-journey, cars suggest faster routes, TV apps interrupt the credits to make sure you don’t go off to bed just yet. You start to feel managed by your own apps and appliances. Is it me, or do they all sound slightly pleased with themselves?

Still, there is a deeper promise in all this autonomy. Because the best thing about a self-driving car isn’t speed, it’s permission. The choice to drive when you want to: for rhythm, for presence, for drivers like me who relish the satisfaction of line and camber, and to switch off when you don’t. The long crawl north to the Lakes. The dawn blast to the airport. The late-night, rain-spray-soaked slog home when you’d gladly hand over the wheel and let the motorway unspool while you exhale, watch the window-light flicker, maybe half-doze through an episode of something forgettable. Control should be optional, not constant.

That’s what the technology could be about: selective surrender or a quieter freedom. But for some unfathomable reason, the marketing and product design departments have decided autonomy is best packaged as constant optimisation. That means another dashboard app full of metrics and prompts and juanty reminders. We built cars clever enough to drive themselves, then gave them personalities that never stop talking.

Real luxury now isn’t speed but discretion: the right to decide how long something should take. To drive when you feel like driving. To look out of the window when you don’t. Technology can make both possible.

Convenience promised to return our hours, but mostly it’s taught us to account for them. Every minute feels spoken for. Perhaps the odd thing is how willingly we’ve agreed to it and the peculiar pleasure we take in shaving seconds off tasks we didn’t enjoy anyway.

Maybe the best thing a self-driving car could do is forget the ETA and let us forget, too.

AI: This piece was refined with AI, for the image prompt, tags, excerpt, and a little sub-editing. The ideas, references, and rhythm are mine.

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Predictive Luxury: When the Algorithm Decides You’re Worth It

The paradox of modern luxury is that the more precisely it knows us, the less we seem to want it.
AI-driven personalisation flatters our taste so efficiently that desire itself begins to flatten. You open an app and there it is – the jacket you’d half-imagined, or the playlist that mirrors your mood before you’ve named it. The system anticipates, arranges, and completes. It feels frictionless, even generous.

But when everything fits this neatly, what’s left to reach for? Desire once depended on a perceptible gap, the space between wanting and getting. Now that gap has been optimised away. We no longer aspire; we’re simply anticipated.

Behind that easy charm sits a machinery, an industry, of prediction. Every scroll, hover, and hesitation becomes a confession. From these micro-gestures, the algorithm builds a probabilistic portrait: accurate enough to sell to, not to know.

This is predictive luxury – the luxury of convenience. It packages aspiration for the mass-affluent, translating status into data. The product is still expensive, but the experience is engineered for scale: “exclusive” taste delivered by statistical consensus. What once required discernment now arrives pre-approved.

To be clear, this isn’t curation. It’s correlation. Your discernment becomes the weighted average of everyone who clicked before you. Luxury houses once guarded their ateliers; now they guard their datasets. What was once stitched by hand is now inferred by pattern.

The shift sounds harmless until you notice what it removes.
Aspiration (the slow, self-defining kind) relies on uncertainty. We learned our taste through trial, boredom, and even embarrassment. Those edges are gone. There’s no risk in going to the restaurant where the algorithm has all but booked you the table. The algorithm keeps our preferences in a holding pattern, replaying what we’ve already confirmed, always within one standard deviation of safety.

The Predictive Plateau: a system that sells us the most probable choice, not the most interesting one. Left unchecked, it narrows the collective palate. As I argued in Luxury UX: Beyond Veneer, lasting equity comes from structure and restraint, not surface gloss. The real risk for luxury brands isn’t technological obsolescence but aesthetic homogeneity, a market trained to prefer the median.

Prediction is never neutral. Behind every act of personalisation sits a hierarchy of visibility, whom the machine believes is worth showing first. The more data you surrender, the clearer your silhouette in its model; those who resist become statistical ghosts.

There’s a quiet economics to this. By automating inequality, the algorithm devalues any form of wealth it cannot quantify or identify. The ultimate luxury, then, is to disappear from the data entirely, to operate through introductions, word of mouth, and private networks. The truly exclusive product is the one the algorithm cannot find, let alone recommend.

And yet there’s still one lever left: intentionality. The deliberate pause before purchase. The refusal to click “similar items”. The act of finding something the algorithm couldn’t possibly have foreseen. In a world of predictive luxury, this is not passive rebellion but an active aesthetic stance, a luxury of choice by will.

The smartest brands will design for this intentionality, not against it. They’ll reintroduce or retain friction as a feature: the waitlist, the mandatory consultation, the garment that demands to be felt. These are not inefficiencies but signals of depth, proof that the experience values attention over automation.

For all its precision, predictive luxury leaves a vacuum at the top. Once algorithms have colonised the middle (the mass-affluent market chasing “smart” recommendations), genuine exclusivity must move elsewhere. Increasingly, it drifts back to what machines can’t do: interpretation, eccentricity, the unrepeatable judgement of people who know.

That’s where true luxury now lives, in human-centred unpredictability. The ultra-wealthy and the culturally literate aren’t rejecting technology; they’re augmenting it. Data may light the runway, but the finale still belongs to the artisan, the editor, the quietly idiosyncratic expert who can surprise you in ways no model can.

Close-up of a tailor’s worktable lit by soft natural light, showing thread spools, scissors, and a half-finished jacket with a visible imperfect seam — an image symbolising human craftsmanship and intentional imperfection in contrast to algorithmic precision.

British luxury has long understood this. Our best exports – Savile Row, Bentley Mulliner, McQueen, Hockney, Grayson Perry – thrive on that narrow line between discipline and disobedience. Their genius isn’t efficiency but editing: knowing when to break symmetry, when to leave the imperfect seam that proves a hand was there. The imperfect seam is a brand’s deliberate investment in unscalable production – the final, physical proof of value when all scalable processes have been commoditised. Curation, as I’ve argued before, isn’t collection. It’s the art of choosing what not to automate.

The challenge for brands now is to build value not through correlation but through judgement. To shift from efficiency to experience, from prediction to anti-prediction. Their next digital frontier isn’t better personalisation; it’s deliberate unpredictability, the algorithm that refuses to close the loop. Designing such friction isn’t romantic contrarianism; it’s the only sustainable strategy for generating new forms of scarcity, and with them, price elasticity.

Because in an economy obsessed with knowing what comes next, the rarest thing a brand can offer is the pleasure of not knowing, of being surprised, seen, and momentarily off-script. That’s the new exclusivity. That’s predictive luxury, undone.

Acknowledgements: This piece was partly inspired by Antonia Hock’s recent post on invisibility and the next era of ultra-luxury.

AI: This piece was refined with AI, for the image prompt, tags, excerpt, and a little sub-editing. The ideas, references, and rhythm are mine. You can still see my hand.

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Luxury UX beyond veneer: structure as brand equity

Split illustration in muted tones: on the left, a sleek SUV fades into static on a computer configurator screen; on the right, a calm hotel lobby with warm wood panelling, guests moving easily, and luggage arriving without fuss. The contrast shows polish versus structure, with luxury defined by order and rhythm rather than surface gloss.
Luxury isn’t in the chrome or the marble, it’s in whether the flow holds together without a fuss.

Luxury brands spend fortunes on surface. The right serif typeface. The right depth of cream on a website background. The right stock gsm on the brochure. Product renders with depth of field and lighting artefacts. But luxury UX cannot stop at veneer. If the underlying structure is clumsy, if journeys collapse into confusion or friction, then no amount of polish will hold that illusion.

The truth is that structure itself carries brand equity. The way a digital product is architected, how steps are ordered, how rules are introduced, how decisions are simplified, does more to signal competence and care than a thousand pixels of perfected pack shots. At Jaguar Land Rover we learned that millions of pounds of glossy configurator rendering and photoshoots is wasted if the journey collapses under its own contradictions.

When veneer is not enough

Consider that car configurator (I know I’ve been there before). The surface details may be flawless: chrome toggles, cinematic photography and transitions, elegant typography. Yet if the underlying structure forces a prospective customer through contradictory options, backtracking, or endless reloads, the brand is weakened. The luxury dissolves. Instead of modernity, the prospect experiences muddle. Instead of trust, they feel doubt.

Luxury is clarity disguised as ease. It is the sense that someone has already edited the path, made the trade-offs, and left you with decisions that feel not just coherent but inevitable. That coherence is structural. It is information architecture, not simple brand varnish.

Structure as invisible luxury

In regulated sectors, be it finance, healthcare, mobility, the stakes are higher still. Here, the user must feel that the product knows where it is going. A well-structured flow reassures not only through compliance but through a designed rhythm: disclosure followed by choice, choice followed by confirmation. In finance, disclosure sequencing is as much brand equity as trust marks in the footer. At Aviva, I saw how form ordering and timing mattered more than any banner, ad or brand flourish: get it wrong and trust collapses, get it right and the entire flow feels humane.

    This isn’t just true for luxury. At parkrun, where we were engaged to think about participant and volunteer profiles, the brand moment wasn’t surface polish but whether participants could find a barcode or book a roster slot without friction. There are quieter sectors away from money and luxe, but the principle holds: structure carries the brand.

    Hospitality and the British lens

    Top-end hospitality has always understood that structure outlasts surface. A hotel lobby isn’t luxury because of materials and furnishings alone; it’s luxury because check-in is peaceful, calming, effortless, because luggage appears without fuss, because the guest never feels unwillingly abandoned. The choreography, the sequencing of service, is the brand. Digital is no different. Done well, it is hospitality by other means.

    And here, for me, Britishness adds something. Where continental, EMEA or American luxury can lean toward performance, grand gestures, overt pampering, British luxury often communicates through understatement. Polished restraint. A dry nod over a champagne cascade and a platter of Dubai chocolate. That sensibility, translated into UX, means editing with discipline: fewer options, quieter confirmations, a flow that carries the user forward without ever drawing attention to itself. Not austere, not joyless. Just less show, more order.

    Brand equity in restraint

    A luxury brand earns equity not just through what it offers, but through what it withholds. The best experiences show judgement in what not to display, what not to demand, where to pause. Luxury isn’t ensured by the liberal application of gloss. Sheen can be appropriated, copied, imitated overnight. What endures is structure: the edits, the sequencing, the courage to strip things back until only what matters remains.

    When the experience lands with this quiet integrity, the user may never notice the scaffolding beneath. But they will feel the brand in the unbroken rhythm of moving forward without friction. That is luxury UX beyond veneer, luxury as restraint, stewardship, clarity. A quiet moral order and the calm assurance that polish and structure belong together if the experience is to endure.

    AI: This piece was written by me. I used ChatGPT as a sub-editor to keep tone aligned with my voice. The experiences, perspectives and final edits are mine. AI also produced the tag list, excerpt and image that accompanies it.

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    The quiet panic of parenting in a digital world

    A moody, hyperrealistic photograph shows a teenage boy and an older man, presumably his father, sitting across from each other at a wooden kitchen table in muted, late afternoon light. Both are absorbed in their smartphones, their heads bowed. A single slice of toast on a white plate sits in front of the father, while two closed books are stacked near the boy. The light filters softly through sheer curtains behind them, illuminating a quiet, timeless kitchen. The scene evokes a sense of mutual disconnection and the quiet ache of modern life.

    When I was around 15, I’d get into trouble for calling a girl I was ‘seeing’ after 9pm on the house phone. I remember the jeopardy when her dad answered. It wasn’t just awkward, it felt catastrophic in that very teenage sense. There was no texting, no soft-launching your feelings via Reels. If you wanted to reach someone, you reached their entire household. Privacy was negotiated in real time, and a cordless phone allowing you to slink off to a private corner was borderline futuristic.

    I mention this not to romanticise a pre-digital age but to mark a boundary: I don’t truly understand what it’s like to grow up now. Not really.

    We’ve been told, often with good reason, that today’s teenagers are in trouble. Jonathan Haidt calls them the “anxious generation”, a cohort rewired by phones and social media. Since around 2012, adolescent mental health (especially among girls) has deteriorated alarmingly. Haidt blames the smartphone: a device that didn’t just enter childhood but, frankly, annexed it. The evidence is worrying, declines in sleep, attention, face-to-face connection. An uptick in self-harm, anxiety, emotional exhaustion. The argument isn’t hysterical. It lands.

    But Dean Burnett suggests we’ve misdiagnosed the patient. The panic, he argues, isn’t just in the teens, it’s in us. The parents, the teachers, the adults nervously refreshing headlines while peeking at their own screen time stats. According to Burnett, much of this alarm stems from a mix of generational disorientation (a kind of collective unease that what we grew up with is no longer relevant), recurring moral panic, and good old-fashioned ignorance. We didn’t grow up with these tools, so we assume they’re harmful. We project. We catastrophise. We fear what we don’t fluently use.

    The result is a pervasive sense of being at a loss. Some parents clamp down, banning apps, enforcing rigid rules on screen-time that feel increasingly arbitrary. Others detach, paralysed by the sheer bloody complexity of it all. But the most common response that I pick up from parents around me is probably the most human: low-level dread wrapped in middle-class guilt. We don’t really understand what our kids are doing, but we feel complicit anyway.

    And then, just as we start to piece together a measured response, “Right! phone-free supper time!”, delayed access, schools running digital literacy workshops, the next threat pops up. Welcome to Whack-a-Mole Parenting. Just as the cultural tide begins to turn on one device, another rises, this time more subtle, more embedded, more seductive.

    A recent Substack essay by Cal Newport took this from another angle. Reflecting on Ezra Klein’s critique of The Anxious Generation debate, he argued that we’ve become so beholden to statistical validation that we’ve lost touch with our own moral instinct. That rings uncomfortably true. We don’t just hesitate to act, we hesitate to know. When it comes to phones and parenting, our sense of what’s right is so often deferred, diluted, or apologised for.

    Take me, for example. I ask ChatGPT more (personal) questions, now than I ever asked Google. Some are practical: how to structure an email, what to cook with these leftovers, when should I plant out these seeds. But others are… not. I’ve caught myself consulting it about health worries, internal dilemmas, parenting doubts, things I wouldn’t bring up at dinner, or even necessarily with my family, my friends. Because it remembers. Because it adapts. Because it flatters you by bending to your will.

    And this is me: a reasonably grounded adult with (I hope) a steady compass and a mild allergy to digital hysteria. Yet even I find it maddeningly addictive. Not the technology itself, but the relation. The illusion of being known, helped, mirrored. I can only imagine how powerful this is for a 14-year-old who isn’t just seeking answers but identity.

    So the question isn’t whether smartphones are making kids anxious. They are, in some ways. But the deeper story is that we’re all overwhelmed by the sheer pace of paradigm shifts. We can’t metabolise one tech wave before the next hits us in the face.

    What Would Good Design Do?

    This is where design comes in. Not as damage limitation, but hopefully as orientation. The best design doesn’t just solve problems. It asks better questions. Like: what rhythms support attention? What thresholds help people feel held, not hijacked? How can digital relationships exist without replacing the real ones?

    The design problem is not abstract. It’s visible everywhere. Think of Snapstreaks – a design mechanism that rewards compulsive interaction with digital trophies. Or TikTok’s For You page – a personalised feed of videos that TikTok’s algorithm thinks you’ll be interested in, which notoriously appears to learn vulnerability faster than it learns taste. These aren’t neutral tools. They’re attention economies wired for compulsion, not care. If you’re a parent watching this unfold, it’s not just confusing, it’s existential.

    Anna Dahlström, a UX designer and storyteller I trust deeply, put it like this: We need to design this—not as a roadmap, but as the future we want our kids and their kids to live in.”

    A brief aside here: Earlier this year, OpenAI’s Sam Altman and LoveFrom’s Jony Ive announced a collaboration to create a physical device for the “AI age.” They talked about daily rhythms, calm interfaces, emotional connection. And while their vision sounds noble, it also confirms the underlying anxiety: that our tools are no longer just functional, they’re emotional infrastructure. If anything, their announcement makes this conversation more urgent. Because the question isn’t whether the tech will be beautifully built. It’s whether it will reflect what matters.

    That means not just critiquing the addictiveness of AI companions, but imagining something better. Less extractive. More human. Here’s what that might look like (after an hour of making notes this morning):

    • Design for pause, not push. Platforms should default to stillness, not stimulation. Kill the endless scroll. e.g. “You’ve seen it all, for now” or opening to a prompt rather than a firehose of dopamine content, or making ‘like’ less of a tap and more of a hold, restricted to just a few per day. Default to a quiet mode after 20 mins. Ask a user “why are you sharing this?”
    • Design for self-awareness. Don’t just track engagement. Track how users feel when they leave. Make reflection part of the loop. e.g. “How did that make you feel?”, reporting this along with screen time weekly reports. An in-app emotion metric that algorithmically analyses your interaction cadence, scroll patterns, message tone.
    • Design for companionship, not substitution. If AI is going to listen, let it redirect. Let it nudge us toward real conversations, not just simulated ones. e.g. “This sounds important. Have you considered talk to [name]?” or helping the user plan social activities, remember dates or conversation starters.

    The tools aren’t going away. But the way we design them can still reflect care, pace, and conscience. That’s not a nostalgic idea, it’s a classic UX problem and one worth solving.

    Coda

    When I was a teenager, the phone was something you had to ask permission to use. Now, it’s something we all struggle to put down. Maybe the answer isn’t more rules or fewer apps. Maybe it’s knowing what to do with ourselves in the quiet space that’s left when the screen goes dark.

    That’s where design still has a role to play, instead of locking us out, it guides us home.

    AI disclaimer: This piece was written by me, but I used ChatGPT to sub-edit, surface research, help shape the structure, and keep the tone aligned with my voice. The experiences, perspectives, and final edits are mine. AI also produced the tag list, excerpts and image that accompanies it.

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    Amazon’s UX: Why Customers Ignore the Chaos

    Amazon’s interface is a mess. Everyone knows it, doesn’t matter if you’re in the industry or you just use it to buy lightbulbs, the odd book and some fancy Tupperware. It’s the digital equivalent of a hoarder’s house, clutter everywhere. A friend of mine once memorably described looking for something as like “rummaging through a warehouse with a torch”, but [she does it because] “I know the bloody thing I want is in there somewhere”. On any given part of the site there’s inexplicable stacks of unrelated items, and a sense that at any moment, something might fall on you. My particular hate are sponsored listings, intruding like pushy sales reps with their irrelevant nonsense while you’re on the way to buy the actual thing you searched for (although sometimes the actual thing turns out to be a not-quite-there copy from some random far-east factory). Genuine customer reviews also get buried under an avalanche of SEO-stuffed nonsense, and yet, dear reader… here I am, ordering 90% of what I buy from Amazon. And you do too.

    However frustrating the experience, it isn’t bad enough to drive people away. Fast delivery, sheer product choice, and a checkout process so frictionless it should be flagged with Gamble Aware. All of this outweighs the UX sins.

    So, Does UX Even Matter?

    It is a question worth asking. If a platform’s core proposition is so compelling, with cheap prices, instant gratification and no meaningful alternative, does the user experience really determine success? Or does it just need to be functional enough?

    The Amazon Conundrum

    Armchair critics love to dissect Amazon’s UX. In the dark corners of the UGC web, Reddit threads are full of users raging against the chaotic interface. Tech journos lament the aggressive Prime pushing, the pay-to-win search results. On paper, it’s a usability horror show. But let’s be clear, Amazon isn’t neglecting UX. It employs entire teams of UX designers, researchers, and engineers who are constantly refining the experience. Not to make it more elegant, but to make it better at selling things. If adding another sponsored listing increases revenue, they’ll do it. In 2022 alone, Amazon made over $31 billion from its advertising business, largely driven by these placements, making it a core part of their revenue model (Vox). If customers still find something to buy despite the friction, then as far as Amazon is concerned, the system is working just fine. The difficulty we have as UXers is understanding and reconciling this. Because we see ‘Sponsored’ listings trump the actual best-result search listing we say “This is wrong, users hate this!” but somewhere deep in Amazon HQ is the data to say, “You know what, they actually don’t, and here’s some more $” (EcommerceFuel and others provide further context on how Amazon’s sponsored listings work and why they persist). The same logic applies to other blunt instruments like relentless pop-ups (deeply irritating but demonstrably effective at nudging hesitant users into making a decision) and those blinking, anxiety-inducing countdown timers all over that Instagram brand’s shop aren’t there by accident either.

    When UX Takes a Back Seat

    Of course, Amazon is hardly alone. Plenty of other sites with objectively terrible UX remain dominant because their value proposition is simply stronger than the frustration they cause:

    • Booking.com drowns you in pop-ups and ‘Only 1 left at this price!’ warnings. Yet its vast selection and competitive pricing make it impossible to ignore.
    • British Airways’ website looks and feels like it’s been trapped in 2009, but people still book flights because, they will always believe the brand stands for something British and the pilots are the best trained and most decent in the skies.
    • Vinted The latest upstart eCommerce brand is having a runaway success in the UK but this is absolutely down to the simplified sell-send logistics and payment process, and definitely not to the bloody awful filtering and product exploration UX (seven different ways to filter on Ralph Lauren sweaters anyone?).
    • GP surgery websites, National Rail, car park booking systems, there’s a vast ecosystem of poorly designed necessities that survive because users effectively have no choice or poorly rationalise their value/essentialism.

    This phenomenon isn’t anecdotal or lost on UX thinkers. As David C. Wyld argues in The Endless Battle Against Bad UX, poor usability is pervasive in major companies, and fixing it isn’t always a top priority. Similarly, The World is Running on Bad UI (Michal Malewicz) notes how many essential services and platforms operate on clunky, outdated interfaces yet remain functionally irreplaceable. Their insights reinforce the central argument here: bad UX doesn’t necessarily mean bad business.

    The Captive Audience Factor

    The obvious point here is that there is a difference between platforms like Amazon, where the UX is frustrating but functional, and services where users are stuck with whatever’s available. The difference with Government portals, legacy corporate systems, anything remotely tied to infrastructure is that these things aren’t just designed badly; they are fundamentally unmotivated to improve.

    It’s not even a matter of UX being ignored (again, plenty of these organisations are populated by skilled and well-meaning design folks), it’s often a mix of limited budgets, outdated tech stacks, bureaucracy (many hands), and the sheer pain and complexity of rebuilding something that’s been patched together over decades.

    The same logic applies to countless internal systems in large organisations, where usability takes a backseat to bureaucratic inertia and legacy technology. Everyone grumbles about it, but change is slow, and innovation rarely prioritises the dull but essential parts of work life. Just as no one is investing to replace the office microwave that’s been there since the turn of the millennium, so we continue to suffer through whatever shitey interface we’re given.

    The Reluctance to Overhaul

    Could Amazon wholesale overhaul its UX if it wanted to? Technically, yes. But would it be worth it? Probably not. The site is a sprawling ecosystem of millions of products, channels and third-party sellers, advertising deals, and logistics chains. Trying to impose a sleek, minimalist interface would mean unpicking the very mechanics that drive sales at an enormous cost.

    The same goes for other massive platforms. The bigger and more layered a system becomes, the harder (read more expensive) it is to rebuild from the ground up. This is exactly the scenario I described in The Local Maximum Problem, where businesses become trapped in cycles of micro-optimisation rather than taking bold steps toward meaningful UX improvements. Businesses, especially ones as enormous and entrenched as Amazon, often optimise for small, short-term gains instead of taking the risk of a complete overhaul. They’ve reached a peak where micro-adjustments keep the machine running, even if they don’t solve fundamental UX flaws. Redesigning from scratch is a leap into the unknown, and when the current setup is still printing money, who would take that risk? Maybe they update a search filter. Maybe they tweak the layout slightly. But the underlying experience remains a Frankenstein’s monster of competing priorities.

    So, Does UX Matter?

    Yes, but not in the way purists would like to believe. Good UX reduces friction, increases trust, and improves efficiency, but it doesn’t always dictate whether people use a platform. When the value proposition is strong enough, users will tolerate a lot.

    The idealistic view is that platforms should improve out of respect for their users. But what do you think? Have you ever abandoned a platform because of its terrible UX, or do you find yourself sticking with frustrating experiences because the value proposition is just too strong? Perhaps if people keep clicking, why fix what isn’t broken?

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