What if an interface could adapt to your world in real time? Imagine your car’s dashboard subtly shifting to shades of green as you drive through a forest, or an app adjusting to your personal accessibility needs without breaking. For the past few months, I've spoken with many of you and I’ve realized we’re all working toward the same ambitious goal: creating interfaces that offer a seamless blend of brand personalization, true adaptability, and accessibility. This is about building an experience that is not only true to a brand's perception but is also tailored to our individual needs as consumers. My exploration so far has revealed three foundational concepts that I feel are important to make this a reality. In the upcoming months, I’ll be sharing our journey as we explore these concepts. Some ideas will work, some will fail. I don’t know where this path will lead, but I want to bring you along in the process. 1. Contextual Awareness This is the idea that an element understands its environment. A button, for example, knows what surface it’s sitting on and adapts accordingly. While tools like Figma use variable collections to simulate this, the approach is often fragile because it lacks a scalable underlying logic. This very challenge was a driving force behind developing the graph engine. I’m excited to share that a solution for this is now possible directly in modern browsers with pure CSS, laying a powerful and scalable foundation for the future. 2. Content Awareness Imagine an interface that reflects the content it displays. We see a version of this in Spotify’s UI, which adapts to album art to create a more immersive experience. This principle allows the UI to react dynamically, personalizing the experience in real-time based on its content. 3. User Awareness This pillar brings it all together by focusing on the user’s specific needs. It means designing systems that can respond to a user with Parkinson’s who may need more forgiving interaction areas, or accommodating the universal reality that as we get older, we need larger fonts. The key is to make these adjustments without breaking the interface or compromising the brand experience. These three pillars form the blueprint for the next generation of user interfaces. By understanding where an element is, what it contains, and who is using it, we can create experiences that feel truly alive. I think there’s more to discover beyond our current methods. Let's explore what it means to build something truly adaptive, together.
Customizing User Experiences
Explore top LinkedIn content from expert professionals.
Summary
Customizing user experiences means creating digital interactions that adapt to each person's unique needs, preferences, and behaviors rather than offering the same interface to everyone. This approach makes users feel more valued and understood, leading to greater satisfaction and loyalty.
- Embrace real-time adaptation: Use available data and modern technology to adjust content and interfaces to fit individual user contexts and preferences as they interact with your site or app.
- Invite co-creation: Let users personalize products or services themselves, which builds a sense of ownership and increases their emotional connection.
- Prioritize meaningful personalization: Go beyond generic greetings by recommending relevant products or features based on users’ behaviors and goals, making every interaction feel truly tailored.
-
-
People value what they create 63% more. Yet most digital experiences treat customers as passive recipients instead of co-creators. This psychological principle, known as the "Ikea Effect", is shockingly underutilized in digital journeys. When someone builds a piece of Ikea furniture, they develop an emotional attachment that transcends its objective value. The same phenomenon happens in digital experiences. After optimizing digital journeys for companies like Adobe and Nike for over a decade, I've discovered this pattern consistently: 👉 Those who customize or personalize a product before purchase are dramatically more likely to convert and remain loyal. One enterprise client implemented a product configurator that increased conversions by 31% and reduced returns by 24%. Users weren't getting a different product... they were getting the same product they helped create. The psychology is simple but powerful: ↳ Customization creates psychological ownership before financial ownership ↳ The effort invested creates value attribution ↳ Co-creation builds emotional connection Three ways to implement this today: 1️⃣ Replace dropdown options with visual configurators 2️⃣ Create personalization quizzes that guide product selection 3️⃣ Allow users to save and revisit their customized selections Most importantly: shift your mindset from selling products to facilitating creation. When customers feel like co-creators rather than consumers, they don't just buy more... they become advocates. How are you letting your customers build rather than just buy?
-
One of the constant challenges in UI/UX design is creating websites that serve diverse user needs effectively. While development and research teams often aim for universal accessibility, end users arrive with vastly different objectives. Consider Apple's website - visitors might need MacOS update information, iPhone purchasing, technical support, laptop upgrades, or countless other Apple-related services. Yet their homepage prominently features only their latest phone model at the top. This one-size-fits-all approach, while efficient for high-traffic priorities, can now be fundamentally reimagined through AI-driven personalization. Large Language Models enable us to aggregate visitor context and dynamically generate user interfaces that adapt to individual needs in real-time. This shift from static layouts to Generative UI (GenUI) demonstrates a significant change in how we approach web experiences. To explore this concept, I built a demonstration using GenUI techniques - specifically implementing an LLM model to generate complete user interfaces based on user needs and context in a laptop purchasing e-commerce setting. By combining existing user information with guided conversation, the LLM is able to dynamically generate and modify webpage content to precisely match a user’s individual preferences. Rather than navigating through generic product pages, users experience interfaces explicitly tailored to their requirements at that exact moment. The technical implementation leverages several key components: 1. Real-time UI generation based on conversational context 2. Dynamic content adaptation using visitor data 3. Integration patterns that maintain responsive performance This approach fundamentally disrupts traditional UI/UX methodologies, where interfaces are often designed once for many users. Instead, GenUI enables interfaces that are generated uniquely for each user, each time. To watch how GenUI is reshaping web experiences, learn the specific techniques I used, and see this demo in action check out my latest video: https://lnkd.in/evXBq9wc
Real-Time UI Generation: Building Dynamic Web Experiences with GenUI
https://www.youtube.com/
-
In the realm of #mobile banking, many traditional banks have implemented basic personalization features, such as time-of-day greetings (“Good morning” or “Good afternoon”). However, these superficial touches often fall short of customer expectations for meaningful #personalization. Users increasingly desire tailored experiences where #products and services are recommended based on their individual behaviors and financial needs. #Banks need to think beyond generic greetings and start leveraging the #data they already have. Imagine a #banking app that uses contextual personalization (predicting when a customer needs travel insurance right after booking a flight) or #behavioral personalization (where the app dynamically adapts based on the customer's based on previous behavior). Picture a homepage that changes on a Monday morning versus a Friday night, always reflecting what the user is most likely to need. Real personalization should feel like the bank understands the user's unique context and behaviors, not just their name and time zone. #Digitalbanks are already setting the standard, creating customized journeys that feel relevant and #value-driven. To remain competitive, traditional banks must rethink personalization—it's not about knowing what time of the day is, but knowing what I actually need to achieve my financial goals. To bridge this gap, banks need to start leveraging #AI, #BigData, and #cloud computing #technology to provide predictive, relevant, useful, and timely interactions. Focusing on hyper-personalization isn’t just a nice to have, it’s essential to unlocking new market opportunities and retaining today’s #digital-first customers. #CX #Design #Innovation #Strategy #Culture #Trust #Privacy #Regulation
-
Key learnings from 8+ Years of Customer-First Design 💡 1. Understand the customer’s pain points deeply: The most successful products don’t just solve problems, they solve the right problems. To truly understand what your customers need, immerse yourself in their world. Conduct deep, qualitative research, listen to their stories, and build empathy. Every feature, decision, and design should stem from this fundamental understanding. [Lesson]: Invest time in user research and listen to real customer feedback early and often. ___________________________________ 2. Agility is key, but don't compromise on quality: Startups require you to iterate fast, but a “move fast and break things” mindset shouldn’t come at the expense of delivering a seamless experience. Customers today expect a polished product, even in beta. Striking a balance between agility and quality requires thoughtful prioritisation of features and a focus on minimum viable experiences rather than just minimum viable products. [Lesson]: Create customer delight by balancing speed and quality, focusing on small but meaningful wins. ___________________________________ 3. Personalisation enhances customer loyalty: Personalised experiences make customers feel valued. By leveraging user data to tailor content, product recommendations, or communication, you create a more engaging experience. The more relevant your product feels, the more likely users are to stick around and become loyal advocates. [Lesson] Personalise wherever possible, be it through onboarding flows, UX, or content that speaks directly to individual user journeys. ___________________________________ 4. Simplicity is the ultimate sophistication: A customer-first experience should feel intuitive and effortless. Users shouldn't have to think too hard about how to interact with your product. Prioritise simplicity over feature-richness, eliminate unnecessary complexity that confuses users. Always test how users experience your product to ensure it’s frictionless and easy to navigate. [Lesson] Streamline user journeys by simplifying interactions and focusing on clarity over cleverness. ___________________________________ 5. Feedback loops are critical Listening to customers doesn’t stop at launch. You need constant feedback loops, whether through surveys, user testing, analytics, or support channels—to keep improving the product. What worked in the early stages of the startup might need refinement as you scale. Continually refining your product based on direct customer feedback is crucial to long-term success. [Lesson] Build strong feedback loops that keep you connected to customer needs, and iterate based on that insight. Customer-first experiences don’t just happen; they are the result of intentional design, deep empathy, and a commitment to continually evolve based on customer needs. #CustomerFirst #UXDesign #StartupLife #UserExperience #ProductDesign
-
Amazon anticipates your next purchase. Netflix knows what you’ll binge next. Patients navigate apps, portals, and systems, but no one seems to know who they are. In a world of personalized everything, why does healthcare still feel generic? Patients want healthcare that knows them – anticipates their needs, remembers their preferences, and meets them where they are. That’s why Personalization is a core pillar of the Patient Experience Scale we created. So, how do you design digital healthcare experiences that feel less clinical and more personal? Here are 𝟱 𝗨𝗫 𝘀𝘁𝗿𝗮𝘁𝗲𝗴𝗶𝗲𝘀 𝘁𝗼 𝗲𝗻𝗵𝗮𝗻𝗰𝗲 𝗽𝗲𝗿𝘀𝗼𝗻𝗮𝗹𝗶𝘇𝗮𝘁𝗶𝗼𝗻 𝗶𝗻 𝗵𝗲𝗮𝗹𝘁𝗵𝗰𝗮𝗿𝗲: 1️⃣ 𝗦𝗺𝗮𝗿𝘁 𝗢𝗻𝗯𝗼𝗮𝗿𝗱𝗶𝗻𝗴 Use dynamic intake forms to personalize the experience from the start—no more “one-size-fits-all.” 2️⃣ 𝗖𝗼𝗻𝘁𝗲𝘅𝘁-𝗔𝘄𝗮𝗿𝗲 𝗖𝗼𝗻𝘁𝗲𝗻𝘁 Deliver relevant information based on a patient’s condition, history, or behavior. 3️⃣ 𝗣𝗲𝗿𝘀𝗼𝗻𝗮𝗹𝗶𝘇𝗲𝗱 𝗨𝘀𝗲𝗿 𝗜𝗻𝘁𝗲𝗿𝗳𝗮𝗰𝗲𝘀 Allow patients to customize their dashboards, notifications, and preferences. 4️⃣ 𝗣𝗿𝗼𝗮𝗰𝘁𝗶𝘃𝗲 𝗔𝘀𝘀𝗶𝘀𝘁𝗮𝗻𝗰𝗲 Leverage AI and automation to suggest the next best action, appointment reminders, or relevant resources. 5️⃣ 𝗦𝗲𝗮𝗺𝗹𝗲𝘀𝘀 𝗢𝗺𝗻𝗶𝗰𝗵𝗮𝗻𝗻𝗲𝗹 𝗘𝘅𝗽𝗲𝗿𝗶𝗲𝗻𝗰𝗲 Ensure consistency across web, mobile, email, and in-person interactions. Patients should feel recognized everywhere. What do you get when you apply these strategies? • Improved patient engagement • Increased adherence • More satisfaction How personalized is your patient experience? Use the open-access Patient Experience Score (PXS) to assess and improve: 🔗 https://lnkd.in/gVd7Vd-z. Let’s build digital healthcare experiences that truly see the patient.
-
Ever notice how a subtle prompt at the right moment can change your entire experience in an app? That’s the magic of real-time personalization. Instead of lumping users into one-size-fits-all campaigns, you can adapt the interface, messages, and offers in the exact moment a user needs it. 👀 Imagine someone lingering on a product detail page: with a platform like Nudge, you can instantly pop up a relevant recommendation, a quick tip PiP video, or a time-limited discount to help them decide. Real-time personalization is a genuine shift from guessing to really knowing what your users want in that specific context. It takes data: things like browsing history, past purchases, or even session behavior, and turns it into on-the-spot actions. That translates into fewer abandoned carts, deeper engagement, and a smooth experience that feels like it was designed just for the user in at very moment. Plus, by continuously collecting feedback, you can refine these interactions and target them even more effectively over time.
-
🧑🏽 Designing Better Personalization UX. With guidelines on how to better tailor content and features to user’s needs and interests. ✅ Customization allows users to choose exactly what they want. ✅ Personalization anticipates what they want behind the scenes. ✅ We personalize to match specific needs without user’s effort. ✅ We allow users to customize preferences, filters, layout, data. 🤔 But often only very few people customize their experience. 🚫 Past behavior doesn’t always predict future actions. 🤔 Users often have different needs at different times. ✅ Design a wide range of presets, templates and defaults. ✅ Track frequent actions and errors, and suggest shortcuts. ✅ Always add content, or reshuffle it, rather than removing it. ✅ Expose users to non-matching topics to avoid filter bubbles. 🤔 Often users don’t know what they need, or what they’d like. ✅ Good personalization is deeply embedded in a user journey. ✅ Search for moments when you want to win user’s attention. ✅ Ask users explicitly about their intent to learn their context. ✅ Let users override personalization if it goes against their needs. ✅ When journey breaks, don’t stitch it, but tie a beautiful bow. We can’t personalize without research. Collect reliable data about users first. Then segment users into groups with shared needs. Decide what messages you have for each group. And define a user model, content model and metadata that go along with it. Then decide on individual or role-based personalization. Choose touchpoints where personalized UX will be served. Apply the logic across your channels, but give users full control of their data. In that process, define how the team will test and measure the impact of personalization over time. Such a project might often feel like a huge leap of faith without immediate benefits. But if done well, it can increase customer lifetime value significantly — but you will need short-term victories to get a long-term commitment. So start slowly. Run experiments. Personalize where you can make the highest impact. More often than not, the outcome will be worth the effort — even although most users will never even notice it, they might stay for many years to come. ✤ Useful resources Personalization Pyramid, by Colin A. Eagan M.S., Jeffrey MacIntyre https://lnkd.in/eaztWU8e Definitive Guide To Personalization (free eBook, PDF) https://lnkd.in/eggR4hzB Five Levels Of Recommendations, by Guillaume Galante https://lnkd.in/eKqsZtJ5 Personalization Planning, by Jennifer Leigh Brown https://lnkd.in/e9N48x6F Successful Personalization, by Amy Schade https://lnkd.in/eNSUgQ9B Personalization UX Stats (Medium), by Mallory Kim https://lnkd.in/eRy9pvqt ✤ Books – Hello {first name}, by Rasmus Houlind – The Person in Personalisation, by David Mannheim – The Personalization Paradox, by Val Swisher, Regina Lynn Preciado – Personalization Mechanics, by John Berndt #ux #design
-
🛍️🎯 Personalization in B2C Marketing: Enhancing Customer Experiences In the realm of B2C marketing, personalization is a powerful tool that can significantly enhance customer experiences and drive brand loyalty. Let's delve into the importance of personalization and explore strategies for tailoring messages, recommendations, and promotions to individual consumer preferences: **1. Understanding Individual Preferences: Personalization starts with understanding your customers on an individual level. Collect data on their purchase history, preferences, and interactions with your brand across various touchpoints. **2. Segmentation for Targeted Communication: Use segmentation to categorize your audience based on shared characteristics. This allows you to create targeted marketing campaigns that resonate with specific groups, delivering more relevant content. **3. Tailored Messaging and Content: Craft personalized messages that speak directly to the interests and needs of your customers. Whether it's email marketing, social media posts, or product recommendations, tailor the content to match individual preferences. **4. Dynamic Website Content: Implement dynamic content on your website that adapts based on user behavior and preferences. This can include personalized product recommendations, content suggestions, or even a personalized homepage experience. **5. Personalized Email Campaigns: Leverage personalization in email campaigns by addressing recipients by name and recommending products or content based on their past interactions. Use dynamic content blocks to tailor the email content for different segments. **6. Recommendation Engines: Implement recommendation engines on your website and other digital platforms. These engines analyze user behavior to suggest products or content that align with individual preferences, fostering a personalized shopping or browsing experience. **7. Behavioral Retargeting: Utilize behavioral retargeting to reconnect with users who have visited your website but didn't make a purchase. Display personalized ads showcasing the products they viewed, encouraging them to return and complete the transaction. By embracing personalization in B2C marketing, businesses can foster stronger connections with their audience, increase customer satisfaction, and ultimately drive higher conversion rates. 🛒💻 #B2CMarketing #Personalization #CustomerExperience
-
Personalization in customer experiences is on the cusp of a mega-explosion. Apple Intelligence is just the beginning. So if you're not thinking about implementation, you're at risk of falling behind. We've all experienced frustrating chatbots that feel more like decision trees than intelligent assistants. But it doesn't have to be this way. The technology exists now to create truly intelligent, personalized AI experiences. I’ve built several chatbots recently, from generic LLM and RAG-based ones to highly personalized concierge services. The difference? Context and agentic workflow. Getting it right requires giving LLMs tools to understand and use data intelligently – user preferences, location data, history, etc. Providing data as tools to LLMs means the AI can decide when and how to use different data and information sources, dynamically choosing to access user data, query knowledge bases, or use other tools as needed at the right stage of its reasoning. This approach allows agents to be incredibly flexible and context-aware. Tools like Tecton's GenAI package are making it possible to build these next-generation AI experiences without the engineering complexity. It’s a framework that makes building hyper-personalized LLM applications radically easier. If you’re interested in building your Apple Intelligence in a fraction of the time it’s taken them, check out our latest blog post. https://lnkd.in/gDM-nqzE #AI #CustomerExperience #Personalization #LLM #GenAI
Explore categories
- Hospitality & Tourism
- Productivity
- Finance
- Soft Skills & Emotional Intelligence
- Project Management
- Education
- Technology
- Leadership
- User Experience
- Recruitment & HR
- Customer Experience
- Real Estate
- Marketing
- Sales
- Retail & Merchandising
- Science
- Supply Chain Management
- Future Of Work
- Consulting
- Writing
- Economics
- Artificial Intelligence
- Employee Experience
- Healthcare
- Workplace Trends
- Fundraising
- Networking
- Corporate Social Responsibility
- Negotiation
- Communication
- Engineering
- Career
- Business Strategy
- Change Management
- Organizational Culture
- Design
- Innovation
- Event Planning
- Training & Development