Dario Michelone

“Everything is design and design is everything.” - Emily Campbell Today, Kim Lenox, Emily and I had a conversation with a thousand people to discuss Figma’s new study exploring how work is changing for 7 roles involved in product development. The quote above sums it up. Roles are blurring. And, more people than ever see design as an integral part of their work. The full story is longer and even more interesting: - 64% of respondents identified with two or more roles, and over a third said their responsibilities span three or more roles. - 56% of non-designers say design tasks like prototyping are a major part of their work, up 12 percentage points in a year - 19% of time is now spent with AI tools, expecting to increase to 27% in the next 12 months. This time is taken from solo work time rather than work with colleagues. And, 57% say they’re spending more time on work that’s higher value and strategic. - 53% say deep knowledge is still needed to do a task well, less than a quarter believe AI reduces the need for expertise. Matt Walker and team built the study of 1200 respondents and 50 interviews, covering 67 tasks. Alia Fite, Emma Webster, and Alex Praeger created an amazing report from the findings. Chad Bergman and Greg Huntoon answered so many questions in today's discussion. The key here is it’s not just design. It’s not just product development. And, I would guess this trend is actually is bigger than just this field. I think at the heart of these changes are a strong desire to communicate intent from one expertise to another. From marketing to design. From design to development. From PM to development. And, I think we’ll see even more of this blurring moving forward.

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Designing for AI often feels like navigating a maze in the dark. How do you design for trust, transparency, and user control when the "magic" of AI can so easily become a user's frustration? The answer isn't just better tech—it's a better design process. That’s why I’m so excited to share my AI UX Design Development Framework. I've poured my experience into creating a practical, human-centered toolkit to help designers, PMs, and developers collaborate and build AI products that people actually love to use. It’s designed to help you: 🔹 Demystify complex AI concepts for your team. 🔹 Design for user trust from the very first idea 🔹 Create intuitive experiences, not just intelligent features. I’ve made the entire framework public and would love for you to check it out. ➡️ Explore the framework here: https://lnkd.in/dgJK_ErW What's the biggest challenge you face when designing for AI? Let's discuss in the comments! 👇 #AIUX #UXDesign #ArtificialIntelligence #HumanCenteredAI #ProductDesign #DesignThinking #ResponsibleAI

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Whether you’re trying to get hired or promoted, we’ve developed an obsession with “showing impact.” I’m guilty of it too. Many talented designers struggle with this. They work in organisations where tracking is incomplete, and they’re forced to choose between showing nothing or making up numbers. But here’s something to keep in mind: Awareness beats access. I’d rather work with someone who doesn’t have data but understands what their work affects. Than someone who has all the data and no idea what to do with it. If you don’t have perfect data, you can still show impact by thinking through these layers: 1. Behaviour --- What are the smallest user actions your design is meant to influence? For example: • Form submissions • Button clicks • Page visits These are leading indicators. You can directly influence them with design. 2. Product --- If hundreds or thousands of users perform that behaviour more often, what product metric would it influence? For example: • Activation rate • Engagement • Discoverability These are team-level outcomes. Your work should support one or more of them. 3. Business --- If that product metric improves, what business impact would it have? For example: • New MRR • Retention • Expansion These are your lagging indicators. They show up later, but they matter most to leadership. Even if you can’t measure these directly, talk about what you believe your work affected. Be honest about the gaps. You can also share what you would have tracked if the data had been available. If you can tell a plausible story using these three layers—behaviour, product, and business—you’re already showing strong strategic awareness. And you’re pointing to the organisational gaps that made measurement difficult. That mindset matters more than a dashboard.

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“User interfaces are going to go away.” - this isn’t about the death of design - it’s about the redefinition of it. We're entering an era where AI agents understand intent, generate interfaces on the fly, and make buttons, menus, and screens optional. At Go-MMT Design, we see this not as a threat to UX but as its next frontier. The shift: From static screens → to ephemeral, intent-driven experiences From layouts → to orchestration From clicks → to conversational clarity As designers, this expands our role: We don’t just design interfaces—we design outcomes. We create UI grammars, fallback logic, trust signals, and agent behaviors. We architect presence across voice, gesture, and ambient cues. The screen may disappear, but the need for thoughtful, human-centered design has never been greater. This is Zero UI. And we’re just getting started. #UXDesign #AI #ZeroUI #EphemeralUI #MakeMyTrip #Myra UxNow #FutureOfDesign #AgenticUX

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Atomic Design by Brad Frost (https://lnkd.in/d3HQ7EK6 )is a brilliant methodology that helps UX/UI specialists construct robust, modular design systems—not just isolated pages. The hierarchical stages are: Atoms: Fundamental UI elements like buttons, labels, and inputs. Molecules: Simple assemblies of atoms—e.g. a search field with label, input, and button. Organisms: Distinct interface sections built from molecules and atoms, such as headers or cards. Templates: Layout structures that organize organisms and molecules, shaping content hierarchy. Pages: Fully realized templates filled with real content—this is where the user experience is validated. This methodology allows us to navigate between the abstract and the concrete, ensuring consistency, scalability, and a shared vocabulary across design and development teams. It’s a mental model—not a rigid, linear process—and remains highly relevant for building modern, collaborative design systems. #UXDesign #UIDesign #AtomicDesign #DesignSystems #ScalableUI #ComponentDesign #AtomicDesignMethodology

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