Baymard Institute’s Post

AI isn’t just a tool, it’s part of the product. I'm starting my next & new series: UX meets AI✨. We’ll decode how top products integrate AI without clutter, where to surface it, how to brand it, and the principles behind it. Follow now to get timely updates and become part of discussions. Discussing next: Should AI live inside an existing product or be standalone? Swipe through 👇 #ProductDesign #UXDesign #AIUX #GenerativeAI #UXStrategy #UXPatterns #AIProduct #DesignThinking

🚀 AI is reshaping user experience design – and it’s a game-changer! Ever noticed how your favorite apps seem to know you better than you know yourself? 🔍 That’s no coincidence. AI is diving deep into user behavior to tailor experiences uniquely for EACH user. 💡 Here’s why UX designers should embrace AI: 1. Personalization: From product recommendations to tailored content, AI enhances relevance. 2. Predictive Analysis: Understanding what users want before they even ask—magic? No, just AI insights! 3. Efficiency: Minimize repetitive tasks, allowing designers to focus on creativity and innovation. But… We must tread carefully. How do we maintain the human touch while leveraging AI? Incorporating user feedback and ethical considerations is VITAL. As we move forward, the fusion of AI and UX design needs to prioritize real human experiences over algorithms. What are your thoughts? Is AI enhancing user experience or overshadowing it? #UXDesign #AI #UserExperience #Innovation bio.link/videocreationtips

I’m seeing thousands of AI tools launching to help developers & PMs and very few to help UX. Why? It’s not because UX does benefit from AI. In fact, every part of the UX process can benefit. So then, where are all the AI products for UX pros? My guess: This is another example of UX being the last priority when compared to engineering and business. Funny thing is: Businesses, tech, and products cannot succeed without good UX. Is UX being left behind in the age of AI? What are your thoughts? #ConsciousUX #AIDesign #AI

AI is quietly redefining User-Centered Design (UCD)… Let’s be honest — the “User” in User-Centered Design has evolved. It’s no longer just about personas, empathy maps, or interviews. It’s now about real-time intelligence, predictive behavior, and adaptive experiences. 👇 Think about this: 🔹 Your prototype can now adapt itself based on live user feedback. 🔹 Usability testing? Simulated by AI with thousands of virtual users in minutes. 🔹 Research? AI summarizes 100 interviews into clear insights before your coffee gets cold. 🔹 Accessibility? AI checks your colors, contrasts, and flows — instantly. 🔹 Design systems? They now learn how you design and suggest improvements. The core of UCD remains empathy. But now, empathy is augmented — not replaced. We’re no longer designing for users. We’re designing with AI that understands users at scale. ✨ Try this exercise: Ask your favorite AI tool — “Generate a design concept for a financial app that helps first-time investors feel confident, safe, and in control.” Now watch how it interprets feelings into functionality. That’s UCD evolving — powered by intelligence. 💭 Your turn — Do you believe AI will make us better human-centered designers, or will it slowly blur the human element in design? Drop your thoughts 👇 #UXDesign #UserCenteredDesign #AIDesign #DesignThinking #ProductDesign #AIinUX #DesignStrategy #HumanCenteredAI

🧩 Design Thinking Note — AI Financial Copilot Feature UX Audit I audited an AI-powered financial tool that generates spending insights and recommendations for users. The key challenge was evaluating how clearly users could access, interpret, and trust the AI-generated advice. My main takeaway: transparency and framing matter just as much as accuracy. Users need to understand why a system gives certain recommendations to truly act on them. Full note 👉 https://lnkd.in/gjfgvBhB

🚀 Analyzing User Experiences: Perplexity AI’s Citations & Follow-Up Design In the evolving landscape of AI tools, user experience plays a critical role in building trust and usability. I recently explored Perplexity.ai — an AI search platform that’s redefining how we interact with knowledge and transparency. Its design choices around citations and follow-up interactions reveal some fascinating insights into how UX principles shape user trust and engagement. 🧭 First Impressions Perplexity feels instantly familiar — almost like Google, but smarter. It aligns beautifully with Jakob’s Law, where users expect your design to work like others they already know. That instant familiarity reduces friction and boosts learnability. 💡 What Perplexity Nails in UX ✅ Trust & Explainability: Citations sit right next to AI responses — boosting transparency and confidence. A brilliant use of visibility of system status. ✅ Consistency & Feedback: Smooth transitions and follow-ups make every query feel conversational and fluid. ✅ Visual Hierarchy: Thoughtful use of typography, spacing, and contrast makes content easy to scan and sources easy to verify. ✅ Mental Model Alignment: Mimics how we search and think — queries evolve into natural, clarifying questions. ⚖️ Where It Can Improve 🔹 Onboarding: Subtle micro-tutorials or hints could help new users explore features better (Hick’s Law — less decision fatigue). 🔹 Mobile Ergonomics: Tapping citation links can challenge Fitts’s Law — not always finger-friendly on smaller screens. 🔹 Cognitive Load: Long responses and multiple links can overwhelm (Miller’s Law — we can only hold ~7 pieces of info at once). 🎨 Design Takeaway Perplexity shows that AI design doesn’t have to feel robotic. It blends human-centered clarity with machine intelligence, proving that simplicity is not minimalism — it’s intentional design that guides thought. 🔥 In Summary: Perplexity AI sets a new standard for transparent and explainable AI experiences. It’s a reminder that when UX meets AI thoughtfully — trust, usability, and delight all follow. 💬 Over to you: Which AI product do you think nails the best UX — Perplexity, Claude, or Gemini? What makes it feel “human” to you? #UXDesign #AIUX #PerplexityAI #DesignThinking #Usability #NielsenHeuristics #LawsofUX #ProductDesign #UXResearch #HumanCenteredDesign #AIDesign

AI and UX: Redefining the Meaning of Design - Data + Empathy. Logic + Emotion. A few years ago, UX was all about pixels, flows, and personas. Today, with AI in the mix, it’s about ethics, emotion, and intelligence. AI can generate 10 design variations in seconds — but only a human designer can sense which one feels right for a user. The real question for today’s UX professionals isn’t “Will AI replace UXD?” It’s “How can UXD use AI to elevate human experience?” AI is powerful at patterns, but UX is powerful at purpose. The smartest future designers will be those who can blend both — Data + Empathy. Logic + Emotion. ✨ The role of a UX designer is evolving We are creators — we are becoming curators of intelligence. #AI #UXDesign #Innovation #DesignLeadership #HumanCenteredDesign

If you’re building an AI feature or product, you’d probably prefer if people actually used it. But they won’t if it doesn’t solve a problem. They won’t if they don’t see it’s there. And they won’t if they don’t understand how to use it. That’s what I spoke about at WaysConf in Kraków and Future Product Days in Copenhagen. I shared findings from Nielsen Norman Group research on how people adopt (or, more often, don’t adopt) AI features inside the products they already use. Often, it had nothing to do with the technology — the features failed because of basic design mistakes that could’ve been easy to avoid if teams had just talked to their actual customers. We already have all the tools we need — if we keep people, not AI, at the center of the design process. (Thank you to Luciano Lykkebo, Tomasz Osowski, and their teams for bringing me over for these events! Always love meeting so many awesome people doing interesting work. Great to meet IRL: Dave Crawford, Jenni Munroe, Patricia Reiners✨, Vitaly Friedman, Rinaldo Ugrina, Christian Holst, Jamie Holst) #UX #ProductDesign #AI #AIUX

We’re entering a strange era — where the interfaces are getting smarter, but the users are getting more uncertain. AI doesn’t just change what products do. It changes how people feel when they use them. As designers, our new challenge isn’t to make AI look “futuristic.” It’s to make it feel trustable, understandable, and human. When an AI feature acts like magic, users are impressed. When it acts like mystery, users get anxious. Good UX used to mean clarity of interaction. Now, it means clarity of intelligence. Because if users can’t predict what the AI will do next — they’ll stop trusting what it says altogether. #UXDesign #ProductDesign #AIUX #DesignThinking #HumanCenteredDesign #AITrust #ResponsibleAI #DesignEthics #FutureOfDesign #UXStrategy

💬 People often ask me how we keep product roadmaps relevant when AI shifts the ground under us every few weeks. Here’s the short answer: you don’t future-proof the roadmap, you build a system that can respond to change. What I’ve found works best is thinking in layers: 🧭 Strategy: If you’re clear on the problem you’re solving and who it’s for, you’re already ahead. That part rarely changes. 🎨 Design: Good UX is modular. A product built around clarity and user intent can evolve from dashboards to conversational flows without starting over. ⚙️ Tech: I lean toward composition over reinvention. Whether it’s OpenAI, Supabase, Pinecone, or Directus, I don’t need to build it all from scratch, but I do need control over how it all fits together. AI is speeding up execution and changing what we expect. The aim isn’t to be perfect from the start but to remain aligned and adaptable as the environment evolves. 🛠 TL;DR: Don’t lock it in. Layer it right, and leave space to shift. #AI #ProductStrategy #TechLeadership #Roadmapping #UX #AIStrategy