User Experience Innovation

Invisible UX is coming 🔥 And it’s going to change how we design products, forever. For decades, UX design has been about guiding users through an experience. We’ve done that with visible interfaces: Menus. Buttons. Cards. Sliders. We’ve obsessed over layouts, states, and transitions. But with AI, a new kind of interface is emerging: One that’s invisible. One that’s driven by intent, not interaction. Think about it: You used to: → Open Spotify → Scroll through genres → Click into “Focus” → Pick a playlist Now you just say: “Play deep focus music.” No menus. No tapping. No UI. Just intent → output. You used to: → Search on Airbnb → Pick dates, guests, filters → Scroll through 50+ listings Now we’re entering a world where you guide with words: “Find me a cabin near Oslo with a sauna, available next weekend.” So the best UX becomes barely visible. Why does this matter? Because traditional UX gives users options. AI-native UX gives users outcomes. Old UX: “Here are 12 ways to get what you want.” New UX: “Just tell me what you want & we’ll handle the rest.” And this goes way beyond voice or chat. It’s about reducing friction. Designing systems that understand intent. Respond instantly. And get out of the way. The UI isn’t disappearing. It’s mainly dissolving into the background. So what should designers do? Rethink your role. Going forward you’ll not just lay out screens. You’ll design interactions without interfaces. That means: → Understanding how people express goals → Guiding model behavior through prompt architecture → Creating invisible guardrails for trust, speed, and clarity You are basically designing for understanding. The future of UX won’t be seen. It will be felt. Welcome to the age of invisible UX. Ready for it?

I predict that the vast majority of brand-maintained static websites and apps will become entirely obsolete as primary user touchpoints, within 10 years at the very most. It is totally feasible, possible much sooner, to imagine being able to simply conjure up, with Gen AI, a completely bespoke experience for a particular objective. "I want to to organise a football themed birthday party for a 10yr old boy in York" would dynamically render the exact 'website' I want on the fly, including planning tools, shoppable products, bookable venues etc., drawing from various brand services. There would be no need whatsoever to go to any individual brand's own static website. What does this mean for brands? Far too much to include in a short post like this, but ultimately it means your brand exists as a suite of APIs, data feeds, and services, ready for AI to consume and reassemble – not a destination or an experience you fully control. It's a complete departure from what brand means in the digital space. Closer to the audience likely reading this, it means that traditional UX/UI focused on static pages, and definitely any notion of 'digital optimisation' in that context, becomes largely obsolete. The UX/design role shifts dramatically to working with generative systems and their components, not just static interfaces. BUT experimentation and innovation, in the broadest and truest sense of the word, will become even more important. How does AI effectively work with and feed from your backend data stores? How is your product and offering structured to be effectively discovered and utilised by AI on behalf of users? How does your brand perform when its presentation is orchestrated by an AI, not your marketing team? This will be the new playground. The future of digital growth isn't optimising a static experience; it's experimenting with how your brand thrives in this dynamically generated reality. #GenerativeAI #DigitalTransformation #Experimentation #CRO #ProductManagement #UserExperience #FutureOfDigital #Strategy #AI #Innovation

Every few years, it feels like the CX industry latches onto a new acronym (CX+BX=TX anyone?), yet most “next big things” are just incremental builds on what's already there. Innovation is lacking, but the notion of UX 3.0 feels different. A recent arXiv paper, “UX 3.0: Experience as Interface,” posits the customer journey is a living system rather than a set of screens, proposing products should read what people are doing, sense how they feel, and reshape themselves in real time. A companion study, “Multi-Layered Human-Centered AI,” explains how to wire three layers together: the model that does the work, an explanation layer that chooses how to talk about it, and a feedback loop that learns from every interaction. Why is this a big deal? Because most of today’s “personalization” is really a flowchart diguised as a personalized experience. Like a chatbot greeting you with the same menu at 11 p.m. that it shows at noon; it's a polite automation that shouldn't be considered personalization. With UX 3.0, the system recognizes intent and emotion, picks the next best step, and adjusts response tone and depth for whoever is on the other side. Picture a service app that senses rising frustration and surfaces a human back channel without being asked. Or a mortgage portal that notices a customer is on a slow mobile connection and removes heavyweight content until the signal improves. That is the sort of moment-to-moment orchestration the new research is pushing toward. The implications for CX teams are practical and, frankly, within reach. First, design reviews can no longer focus only on the screen. They must map the invisible flows: what data feeds the model, how explanations adapt to a new versus a power user, and what signals trigger a course correction. Second, explainability is a product feature. A customer should be able to ask, “Why did you recommend this?” and receive an answer specific to them. So plain language for most of us, but deeper logic for an auditor or a regulator. Third, iteration cycles need to tighten. A product that learns live can't wait for UX research; it needs in-context telemetry and a governance plan that keeps those changes and the teams that deliver them on a tight leash. For large platforms like Qualtrics, PG Forsta, Medallia, UserTesting, or even Genesys, Verint, and NiCE, I think this shift threatens the comfort of dashboards. A true experience-led layer belongs closer to the data plane, with fast feedback and version control. Interestingly, the research community is already open-sourcing prototypes (check out the paper). So UX 3.0 is less about a new coat of paint and more about teaching our products to listen, explain themselves, and grow alongside the people they serve. My friend and colleague, Mike Debnar, and I have been talking about products talking to each other for years. Perhaps we will finally see it come together. Mike, what do you think? #customerexperience #design #ux #ai #future #technology

AI is killing the UX Design role as we know it. Designers who adapt will evolve into Strategic Experience Architects who will be in high demand. While traditional designers are "pixel-pushing," a new set of designers is emerging.  They're using AI to fast-track design ideas and turning prototypes into working code. A lot of what UX designers are doing manually today is exactly what AI tools are getting good at: • Rapid wireframing concepts • UI component creation • Basic user research • Persona development • Usability testing automation The ability to automate some UX tasks is already here. We have to assume that the technology will only advance quickly. I recently spoke with several Product Managers who are already replacing basic UX tasks with AI tools. When PMs can generate, iterate, and validate designs using AI, what happens to the traditional UX role? Simple products and startups will streamline. PMs with AI will be able to handle the basics. We're already seeing this shift. However, there's a big opportunity here as well. AI has a critical blind spot: it can't grasp the nuanced psychology of human behavior. It can't navigate complex stakeholder dynamics. It can't translate business objectives into meaningful user experiences. This is where the evolution happens. The future belongs to Strategic Experience Architects who: ✦ Define the right problems to solve ✦ Extract insights from human complexity ✦ Align teams around user value ✦ Guide AI with human context The market is splitting: → Basic products: UX roles blend into other roles on the team → Complex enterprises: Strategic UX roles become critical Fortunately, most valuable products are complex and human-centered. Want to stay relevant? Here's what to consider. 1. Master AI design tools   But don't just use them, learn to orchestrate them 2. Evolve from maker to strategist   Your value is in thinking, not in pushing pixels (AI will eventually handle this) 3. Develop business intelligence   Connect user needs to revenue 4. Study human psychology    This is your moat against AI 5. Learn systems thinking Focus on developing repeatable systems in your daily work The UX industry isn't dead, but it is transforming. -- ♻️ Share if you think this will help others ➕ Follow Jason Moccia for more insights on AI and Product Design

Something feels off in UX right now 🥺 My 2026 UX Design predictions Over the last months, I’ve had the same conversations again and again. With designers. With teams. With leaders. “Should I learn AI?” “Is my role still relevant?” “Am I falling behind… or overreacting?” Here’s what I’m seeing for UX in 2026 👇 1️⃣ Interfaces are dissolving With Generative UI, interfaces are created on demand. No more fixed screens. UX shifts from designing flows to defining systems, constraints, and intent. 2️⃣ UX research is scaling radically AI can analyze thousands of open-ended responses, run deep research, and surface patterns in minutes. The role of designers and researchers is changing: less execution, more sense-making, validation, and decision-making. 3️⃣ Designing for AI is no longer optional AI products learn from users. That makes them powerful and incredibly confusing if UX is missing. Trust, explainability, recovery UX, and mental models are now core design work. “Just type something” is not a UX strategy. 4️⃣ AI agents change how systems behave AI doesn’t just respond anymore. It plans and acts on behalf of users. This breaks traditional UX patterns. The key question becomes: When can a system act on its own and when must it stop? 5️⃣ Vibe coding removes technical barriers Ideas turn into prototypes and products at near-zero cost. The real bottleneck is no longer code, but judgment. UX shifts even further toward problem framing, direction, and quality control. 6️⃣ Roles matter less. Ownership matters more. Job titles lose their edge. Execution becomes cheap. What matters is who takes responsibility, who makes decisions, and who asks the uncomfortable questions. 7️⃣ Personalization is entering uncomfortable territory AI systems are building long-term memory about users. Helpful at first. Creepy the moment people realize what the system knows. UX must make data use visible, adjustable, and understandable. Not more data. More choice. My biggest takeaway: 2026 is not about designing faster. It’s about deciding better. UX is moving away from interface design toward intent, systems thinking, and responsibility. If you work in UX and ignore AI, you won’t be replaced. You’ll slowly become irrelevant. If you stay curious, critical, and intentional about how you use AI, this is one of the biggest opportunities UX has ever had. P.S.: I also recorded a podcast episode (link in the comments) where I go much deeper into these shifts, with concrete examples and reflections from my own work. If you want the longer version beyond a LinkedIn post, feel free to give it a listen.

UX is evolving. And it's not just about the user anymore. 🤖 Enter AX (Agent Experience). AX expands the design focus beyond just humans to include AI agents, humans, and digital coworkers. In the agentic AI world, all of them are interacting with systems to help get things done. 𝗧𝗿𝗮𝗱𝗶𝘁𝗶𝗼𝗻𝗮𝗹 𝗨𝗫 𝗶𝘀 𝘀𝗶𝗺𝗽𝗹𝗲 𝗮𝗻𝗱 𝗱𝗲𝘁𝗲𝗿𝗺𝗶𝗻𝗶𝘀𝘁𝗶𝗰.  You tap a button. Something happens in the product. Job done. 𝗕𝘂𝘁 𝗶𝗻 𝘁𝗵𝗲 𝗔𝗫 𝘄𝗼𝗿𝗹𝗱 𝘁𝗵𝗶𝗻𝗴𝘀 𝗮𝗿𝗲 𝘄𝗮𝘆 𝗺𝗼𝗿𝗲 𝗱𝘆𝗻𝗮𝗺𝗶𝗰: - The agent tracks ongoing goals, nudges next steps, improves over time. - The system plans its own path - it senses, infers, chooses actions the designer didn't script. - Context is learned, not asked. Patterns, preferences, even team dynamics are remembered and reused. - And success is no longer just task completion. It's also things like earned trust, retention, and long-term value. 𝗪𝗲'𝗿𝗲 𝗻𝗼𝘁 𝗷𝘂𝘀𝘁 𝗯𝘂𝗶𝗹𝗱𝗶𝗻𝗴 𝗶𝗻𝘁𝗲𝗿𝗳𝗮𝗰𝗲𝘀 𝗮𝗻𝘆𝗺𝗼𝗿𝗲. We're designing incentives and interactions across humans and AI agents. 𝗗𝗲𝘀𝗶𝗴𝗻 𝗽𝗿𝗶𝗼𝗿𝗶𝘁𝗶𝗲𝘀 𝘄𝗶𝗹𝗹 𝗻𝗼𝘄 𝗶𝗻𝗰𝗹𝘂𝗱𝗲: → How do these AI agents learn and collaborate? → How do we ensure they align with human goals? → How do we build systems that evolve, not just react? The future of experience design is agentic. And this is a huge change in how we design, collaborate, and operate in increasingly AI-integrated systems. And the AX conversation is just beginning. 🔔 Share this with someone who needs to be prepared for the AX future. 👉 Know any new innovative tools or companies powering the AX revolution? Let me know! #AgenticAI #AgentExperience #futureofwork #design

For decades, creating a great user experience has meant making software easier to use through better interfaces, smoother flows and cleaner design. With the rise of agents, that’s no longer enough. Because software is shifting from helping people do the work to doing the work itself. In this environment, the interface becomes less about showing you how to act and more about helping you understand what’s being done and why. That means designing for transparency, explainability, emotion, and for dynamic interfaces that can evolve in real time. Ultimately, as software learns to think and act, the best interfaces won’t just be easy to use. They’ll also be easy to trust, understand and work alongside.

Most UX designers are obsessing over the wrong thing. They're still polishing the chrome on a car that's about to be replaced by a teleporter. After 25 years in UX, I can tell you the future of design is invisible. And it’s coming faster than you think. For decades, we obsessed over the visible. Buttons. Menus. Layouts. Pixels. (And we got really, really good at it.) We built beautiful, intuitive interfaces to guide users from A to B. But we were perfecting the art of giving people options, not outcomes. That entire paradigm is about to break. AI is dissolving the UI. The best interface is becoming no interface. We’re moving from a world of interaction to a world of intent. Old UX: “Here are 12 ways to get what you want.” New UX: “Just tell me what you want.” This isn't a prediction. It's a pattern I've watched build for years. And it leads to a future that looks less like a screen and more like a conversation with reality itself. Here’s where it gets wild: 🧠 Mind-Reading Interfaces: Forget clicks. Think brainwaves. Your learning app will sense you’re losing focus and simplify the content in real-time. Your game will dial up the difficulty when it senses you're locked in. The interface adapts to your cognitive state, not the other way around. 👃 Scent-Enabled Experiences: Imagine a meditation app that releases a calming lavender scent, or a travel app that lets you smell the salt air of the beach you're booking. We're about to move from audiovisual design to multi-sensory reality. It's the final frontier of immersion. ❤️ Emotion-Aware Empathy: The system knows you’re stressed (from your voice tone or biometrics) and automatically simplifies the UI, hiding non-essential features. It doesn't ask you what's wrong. It senses it, and it helps. This is UX with emotional intelligence. This isn’t about sci-fi. It's about designing with a profound respect for human attention and cognitive load. It’s about getting the technology out of the way so people can live their lives. Your job is no longer to be a screen architect. It's to be an architect of understanding. Your next big project isn't a redesign. It's rethinking how to deliver an outcome with the least friction possible. What's the one app on your phone you wish was completely invisible? #userexperience #uxdesigners #uxdesigner #futureofdesign #design

Design is evolving. We’re moving from tools that users control to smart agents that act on their behalf, based on trust, shared values, and intent. Over on our Helio channel, we featured a great visual from Menno Cramer. He makes a strong case that the future of UX isn’t just about screens anymore, it’s about building smart, responsive relationships between people and machines. Check it out: https://lnkd.in/gZZw6AS3 To keep up, design needs to think about personalization in new ways, not just changing what people see, but understanding how systems should behave, respond, and grow alongside each user. Cognitive, emotional, and contextual intelligence all matter more now. Systems thinking is becoming essential. Here’s how I see Menno’s UX map from the user perspective: → Yesterday: Usability for everyone Designers focused on creating one experience that worked for the majority. The main goal was to make things usable and remove friction. Personalization was minimal, and most interactions were standardized. “Can I do what I came here to do?” This era was about universal access: clean layouts, simple flows, and clear buttons designed to work for most people. → Today: Adapting to users Designers now listen, learn, and build systems that adjust to each user’s behavior. The focus is on understanding intent and making the experience feel smarter and more relevant. Personalization is moderate, based on user preferences, habits, and patterns. “Does this system understand what I mean and need?” This era is about responsive experiences: designs that shift and evolve as users interact with them. → Tomorrow: Working with users Designers are starting to create agents that collaborate with users. These agents aren’t just helpful, they reflect the user’s goals, values, and emotional context. Personalization is deep, relationships are dynamic, and built on trust. “Is this agent aligned with my goals and values?” This next era is about trusted digital partners: agents that think, speak, and act with the user’s best interest in mind. We’re excited about where design is headed. At Helio, we’ve built UX metrics to help designers track what matters, with simple, standardized data they can share across their team. That includes insights from both users and intelligent agents. What do you think about how design is evolving? #productdesign #uxmetrics #productdiscovery #uxresearch

𝐓𝐡𝐞 𝐞𝐯𝐨𝐥𝐮𝐭𝐢𝐨𝐧 𝐨𝐟 𝐩𝐫𝐨𝐭𝐨𝐭𝐲𝐩𝐢𝐧𝐠: 𝐬𝐡𝐚𝐩𝐢𝐧𝐠 𝐦𝐨𝐛𝐢𝐥𝐢𝐭𝐲 𝐞𝐱𝐩𝐞𝐫𝐢𝐞𝐧𝐜𝐞𝐬 𝐭𝐡𝐫𝐨𝐮𝐠𝐡 𝐀𝐈, 𝐦𝐢𝐱𝐞𝐝 𝐫𝐞𝐚𝐥𝐢𝐭𝐢𝐞𝐬, 𝐚𝐧𝐝 𝐡𝐲𝐩𝐞𝐫-𝐩𝐞𝐫𝐬𝐨𝐧𝐚𝐥𝐢𝐳𝐚𝐭𝐢𝐨𝐧 In the next decade, 𝐩𝐫𝐨𝐭𝐨𝐭𝐲𝐩𝐢𝐧𝐠 will not only be a tool for design - it will be the 𝐞𝐧𝐠𝐢𝐧𝐞 𝐨𝐟 𝐬𝐭𝐫𝐚𝐭𝐞𝐠𝐢𝐜 𝐢𝐧𝐧𝐨𝐯𝐚𝐭𝐢𝐨𝐧 𝐢𝐧 𝐦𝐨𝐛𝐢𝐥𝐢𝐭𝐲. As 𝐀𝐈, 𝐀𝐑, 𝐚𝐧𝐝 𝐕𝐑 continue to converge, the ability to create 𝐢𝐦𝐦𝐞𝐫𝐬𝐢𝐯𝐞, 𝐜𝐨𝐧𝐭𝐞𝐱𝐭𝐮𝐚𝐥 𝐩𝐫𝐨𝐭𝐨𝐭𝐲𝐩𝐞𝐬 will become paramount. Imagine a world where prototypes can predict user emotions, adjust in real-time based on external factors, or even co-create with users to deliver a highly personalized in-car experience. This level of adaptability will transform how brands build trust and loyalty in a landscape where every touchpoint matters. 𝐀𝐈 𝐰𝐢𝐥𝐥 𝐝𝐫𝐢𝐯𝐞 𝐩𝐫𝐞𝐝𝐢𝐜𝐭𝐢𝐯𝐞 𝐩𝐫𝐨𝐭𝐨𝐭𝐲𝐩𝐢𝐧𝐠 - an approach that not only tests current features but anticipates future user needs based on behavioral data. Imagine a prototype that not only allows you to test gesture controls or voice interactions but can simulate future interactions as the system learns from you over time. This turns prototyping into 𝐚 𝐥𝐢𝐯𝐢𝐧𝐠 𝐞𝐱𝐩𝐞𝐫𝐢𝐦𝐞𝐧𝐭, constantly evolving and adjusting as new technologies emerge and user behaviors shift. Moreover, with the rise of mixed realities, we can now 𝐩𝐫𝐨𝐭𝐨𝐭𝐲𝐩𝐞 𝐞𝐱𝐩𝐞𝐫𝐢𝐞𝐧𝐜𝐞𝐬 𝐰𝐢𝐭𝐡𝐢𝐧 𝐭𝐡𝐞 𝐟𝐮𝐥𝐥 𝐜𝐨𝐧𝐭𝐞𝐱𝐭 𝐨𝐟 𝐭𝐡𝐞𝐢𝐫 𝐞𝐧𝐯𝐢𝐫𝐨𝐧𝐦𝐞𝐧𝐭. We’re no longer just sketching or wireframing. We’re building fully immersive simulations that allow us to test everything from safety features in autonomous vehicles to how AI-driven environments can adapt to emotional and cognitive states of users. Prototypes will blur the lines between the physical and digital, creating spaces where users can experience the future of mobility before it even arrives. Prototyping will also become 𝐚 𝐛𝐫𝐚𝐧𝐝𝐢𝐧𝐠 𝐭𝐨𝐨𝐥. As 𝐭𝐡𝐞 𝐞𝐦𝐨𝐭𝐢𝐨𝐧𝐚𝐥 𝐫𝐞𝐬𝐨𝐧𝐚𝐧𝐜𝐞 𝐨𝐟 𝐚 𝐛𝐫𝐚𝐧𝐝 becomes increasingly tied to the user experience, prototypes will serve as the 𝐟𝐢𝐫𝐬𝐭 𝐭𝐨𝐮𝐜𝐡𝐩𝐨𝐢𝐧𝐭 𝐟𝐨𝐫 𝐛𝐫𝐚𝐧𝐝 𝐢𝐦𝐦𝐞𝐫𝐬𝐢𝐨𝐧. Whether through immersive soundscapes, adaptive lighting systems, or contextual AI interfaces, brands will embed their identity into every aspect of the mobility experience. The result? 𝐇𝐲𝐩𝐞𝐫-𝐩𝐞𝐫𝐬𝐨𝐧𝐚𝐥𝐢𝐳𝐞𝐝, 𝐞𝐦𝐨𝐭𝐢𝐨𝐧𝐚𝐥𝐥𝐲 𝐫𝐞𝐬𝐨𝐧𝐚𝐧𝐭, 𝐚𝐧𝐝 𝐟𝐮𝐭𝐮𝐫𝐞-𝐟𝐨𝐫𝐰𝐚𝐫𝐝 𝐦𝐨𝐛𝐢𝐥𝐢𝐭𝐲 𝐞𝐱𝐩𝐞𝐫𝐢𝐞𝐧𝐜𝐞𝐬 that not only meet user expectations but anticipate and exceed them. 𝐓𝐡𝐞 𝐟𝐮𝐭𝐮𝐫𝐞 𝐢𝐬 𝐚𝐛𝐨𝐮𝐭 𝐜𝐨𝐧𝐬𝐭𝐚𝐧𝐭 𝐢𝐭𝐞𝐫𝐚𝐭𝐢𝐨𝐧, 𝐚𝐝𝐚𝐩𝐭𝐢𝐯𝐞 𝐝𝐞𝐬𝐢𝐠𝐧, 𝐚𝐧𝐝 𝐭𝐡𝐞 𝐚𝐛𝐢𝐥𝐢𝐭𝐲 𝐭𝐨 𝐜𝐫𝐞𝐚𝐭𝐞 𝐞𝐱𝐩𝐞𝐫𝐢𝐞𝐧𝐜𝐞𝐬 𝐭𝐡𝐚𝐭 𝐞𝐯𝐨𝐥𝐯𝐞 𝐢𝐧 𝐫𝐞𝐚𝐥-𝐭𝐢𝐦𝐞. This is the frontier of mobility. #experience #prototyping #mobility #innovation nxt nxt - the future experience innovation platform