Want to lose players? Ignore how their brains work. Frustrated players don’t stick around. Why? The design doesn’t match how we think. Fix it with these UX principles. 𝟭. 𝗣𝗿𝗼𝘅𝗶𝗺𝗶𝘁𝘆 The Brain: ↳ We group nearby objects together. [UX in Action] • Group related info in the HUD (health, ammo, abilities). • Organize menus logically - e.g., defense skills in one column, offense in another. Example: Assassin’s Creed Syndicate groups contextual actions for clarity. Tip: Space = clarity. Clutter = confusion. 𝟮. 𝗦𝗶𝗺𝗶𝗹𝗮𝗿𝗶𝘁𝘆 The Brain: ↳ We link objects that look alike. [UX in Action] • Color-code items with similar functions (e.g., health packs, weapons). • Use consistent shapes and visuals for recurring gameplay elements. Example: Overwatch health packs are green (heal) or blue (shields) - instant recognition. Tip: Consistency builds trust. Random changes destroy it. 𝟯. 𝗖𝗼𝗻𝘁𝗶𝗻𝘂𝗶𝘁𝘆 The Brain: ↳ We follow lines and curves naturally. [UX in Action] • Use roads, trails, or subtle environmental cues to guide players to objectives. • Skill trees should flow visually - connected lines = unlock progression. Example: Journey uses curved dunes to nudge players without obvious prompts. Tip: Guide, don’t force. Let the world “pull” players forward. 𝟰. 𝗖𝗹𝗼𝘀𝘂𝗿𝗲 The Brain: ↳ We fill in gaps to see the whole picture. [UX in Action] • Use outlines to suggest symbols without cluttering the interface. • Design puzzles that let players solve the gaps (e.g., bridges, maps). Example: Breath of the Wild uses glowing shrines to tease exploration. Tip: Less is more. Let players’ curiosity fill in the blanks. 𝟱. 𝗙𝗶𝗴𝘂𝗿𝗲-𝗚𝗿𝗼𝘂𝗻𝗱 The Brain: ↳ We separate objects from their background [UX in Action] • Use contrast to make interactive elements pop (e.g., glowing loot, enemy outlines) • Keep non-interactive elements subtle to avoid visual clutter. Example: Fortnite highlights loot with bright effects, making them stand out. Tip: Contrast = focus. Subtlety = immersion. 𝟲. 𝗦𝘆𝗺𝗺𝗲𝘁𝗿𝘆 𝗮𝗻𝗱 𝗢𝗿𝗱𝗲𝗿 The Brain: ↳ Symmetry feels balanced. Chaos doesn’t. [UX in Action] • Use symmetrical grids in inventories to make items easy to find. • Apply symmetry in level design for logical layouts; break symmetry to add tension. Example: Portal uses symmetrical puzzles to imply logic and balance. Tip: Symmetry = calm. Asymmetry = challenge. Use both wisely. 𝟳. 𝗖𝗼𝗺𝗺𝗼𝗻 𝗙𝗮𝘁𝗲 The Brain: ↳ Moving objects seem connected. [UX in Action] • Groups of enemies moving together signal coordinated threats. • Use synchronized motion (swaying ropes or flashing lights) to guide attention. Example: Uncharted uses environmental motion to point out climbable paths. Tip: Movement = meaning. Use it to guide, not distract. **** Looking for more insights? 🔴 Start with my book https://lnkd.in/euQYayqc 10 more tips & actions in the comments 👇
Designing For User Attention
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Have you ever looked at a well-designed dashboard or data viz, and tried to explain EXACTLY what makes it so effective? It's trickier than you might think. There are the obvious things like colors, layouts, imagery and chart types, but those only tell part of the story. Ultimately what matters most is PERCEPTION. Building a dashboard is equal parts psychology and design, and requires an understanding of how humans process and interpret information. The difference between an average dashboard and a great one can be tough to pinpoint, but it often comes down to things like: 👉 Enclosure 👉 Similarity 👉 Continuity 👉 Closure 👉 Connection 👉 Proximity 👉 Symmetry These are known as Gestalt Principles, which describe how we group visual elements, recognize patterns, and simplify complex information. While they are traditionally used by graphic artists and UX designers, these principles are INCREDIBLY powerful tools for data visualization as well. Do you use Gestalt Principles for data viz? Let me know in the comments! #datavisualization #gestalt #dashboarddesign #businessintelligence #data #careers
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Emotionally engaged visitors are an unlock to better tourism businesses - why wouldn't you want visitors who are: - Less price sensitive* - More likely to recommend your experience* - More likely to repeat their visit* So, what does it mean to design emotionally engaging experiences and how do you do it? The four main brain chemicals; endorphins, dopamine, serotonin and oxytocin, all play a role in how you experience something. Endorphins - What to think about? Excitement, the thrill of the hunt. - How? Build anticipation. - Example: Design an engaging queuing/waiting time - the tingly feeling you get while waiting to do your bungy jump can be just as much a part of your experience as the jump itself. Dopamine: - What to think about? Accomplishment, pride through results. - How? Complete something difficult/challenging/new - Example: It feels really good to overcome a challenge and we need to allow time to celebrate the completion of your activity - design the time into your activity to recognise this (not just move onto the next group/visitor too quickly). Serotonin - What to think about? Special recognition, approval. - How? Inclusion, photos, being part of the ‘show’. - Example: At the Canyon Swing in Queenstown they sometimes ask YOU if the harness is done up correctly (they know it is) - they're involving you in a exciting and unexpected way. Oxycotin - What to think about? Love & belonging. - How? Community, communication, proof, sharing. Example: It feels good to show that you've done something - the stamp on your hand after you've done the Luge recognises that you've completed the activity (additionally it doubles as a walking promotional sign for the business until you've washed it off). The success of a tourism business often comes down to the qualiity of an experience - if you can design emotions in an authentic way it becomes a powerful combination. *Harvard Business Review - The New Science of Customer Emotions: https://buff.ly/3r390rl
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Micro-interactions in UX can make or break user trust. I recently explored a side-by-side comparison of two mobile verification screens both asking users to enter a six-digit code. The functionality was identical, but the visual treatment was subtly different: - One used individual boxes for each digit. - The other used a single input field with circular placeholders. Both designs were clean, but the question was clear: Which is better? This sparked a deeper reflection on user psychology and interface clarity: - Do segmented boxes offer better cognitive feedback for progress? - Does a unified field feel smoother and more modern? - How do visual cues influence perceived security and ease of use? These nuances are what separate good design from great design. In high-stakes moments like verification confidence, speed, and clarity are everything. I'd love to hear from fellow designers, developers, and product thinkers: What subtle design choices have you made that improved user trust or engagement? #UXDesign #MobileDesign #ProductThinking #UserExperience #DesignDetails #MicroInteractions #DesignLeadership #LinkedInInsights
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We do not experience the world in neat, discrete categories, yet much of UX research still measures behavior as if we do. Real experiences exist in the gray zone where satisfaction, trust, confusion, effort, and motivation overlap rather than fall into clean categories. When we compress this psychological complexity into Likert scales or binary outcomes, we lose the intensity and uncertainty that often signal early friction and churn. Most classic UX metrics summarize what users select, not what they actually feel. A single satisfaction score can hide hesitation, mixed emotions, and declining confidence, even though these blended states drive real behavioral change. By forcing fluid cognition into rigid buckets, we frame experience as static when in reality it is continuously evolving. Fuzzy logic approaches UX measurement differently by modeling experience as degrees of membership instead of fixed categories. Using membership functions, telemetry and survey inputs become graded psychological states in which multiple conditions coexist at once. Cognitive load, trust, frustration, and engagement are not treated as on–off switches but as overlapping mental states, allowing UX researchers to detect subtle tensions long before they appear as abandonment or negative feedback. Traditional regression assumes linear relationships and independence between variables, while ANOVA struggles to integrate many experiential dimensions into a single coherent signal. Fuzzy inference systems naturally combine correlated inputs into holistic experience indices, and through defuzzification these blended psychological states become continuous, actionable metrics such as friction levels or churn risk scores that support proportionate design responses instead of blunt thresholds. You might think Likert scales already work like fuzzy logic because they use graded numbers, but they are fundamentally different. Likert forces users to choose a single category, compressing mixed emotions into one number. When we later average scores or run regressions, we treat those values as if they represent continuous psychological intensity, even though the underlying uncertainty has already been removed at the moment of response. Fuzzy logic does the opposite. It preserves uncertainty instead of eliminating it, allowing users to belong partially to multiple psychological states at the same time. A person can be modeled as 70% satisfied, 20% neutral, and 10% confused simultaneously, rather than being forced into selecting whichever single box feels closest. Fuzzy logic does not replace traditional statistics, but it fills the gap where human psychology is layered, nonlinear, and ambiguous. Likert tells us which box users pick, classical statistics compare group averages, but fuzzy logic models how experience actually unfolds inside the mind, enabling UX research to move from static description toward psychologically grounded prediction and adaptive design.
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𝐋𝐚𝐰𝐬 𝐨𝐟 𝐔𝐈 The Laws of UI are essential principles that guide users smoothly through interfaces by improving clarity, reducing cognitive load, and creating intuitive, engaging designs. Mastering these fundamental laws helps designers craft visually appealing and functional layouts that enhance user experience: 1. 𝐋𝐚𝐰 𝐨𝐟 𝐂𝐥𝐨𝐬𝐮𝐫𝐞 Users tend to fill in missing parts to perceive a complete image, making it possible to simplify designs while still being recognizable. 2. 𝐋𝐚𝐰 𝐨𝐟 𝐏𝐫𝐨𝐱𝐢𝐦𝐢𝐭𝐲 Elements close to each other are perceived as related, helping organize content logically and reduce cognitive load. 3. 𝐋𝐚𝐰 𝐨𝐟 𝐒𝐢𝐦𝐩𝐥𝐢𝐜𝐢𝐭𝐲 Users prefer clear, minimal designs that are easy to interpret, creating a visually appealing and distraction-free experience. 4. 𝐋𝐚𝐰 𝐨𝐟 𝐒𝐢𝐦𝐢𝐥𝐚𝐫𝐢𝐭𝐲 Similar visual elements are seen as part of a group, establishing visual hierarchy and consistency in the design. 5. 𝐋𝐚𝐰 𝐨𝐟 𝐂𝐨𝐧𝐭𝐢𝐧𝐮𝐢𝐭𝐲 Eyes naturally follow paths and lines, guiding users smoothly through the interface with ease. 6. 𝐂𝐨𝐦𝐦𝐨𝐧 𝐑𝐞𝐠𝐢𝐨𝐧 Elements within the same boundary appear grouped, making layouts easier to interpret through clear visual sections. 7. 𝐎𝐫𝐝𝐞𝐫 𝐚𝐧𝐝 𝐒𝐲𝐦𝐦𝐞𝐭𝐫𝐲 Balanced, symmetrical layouts provide stability and ease of navigation, enhancing trust and visual appeal. These UI principles are powerful tools for creating seamless and intuitive user experiences.
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Traditional usability tests often treat user experience factors in isolation, as if different factors like usability, trust, and satisfaction are independent of each other. But in reality, they are deeply interconnected. By analyzing each factor separately, we miss the big picture - how these elements interact and shape user behavior. This is where Structural Equation Modeling (SEM) can be incredibly helpful. Instead of looking at single data points, SEM maps out the relationships between key UX variables, showing how they influence each other. It helps UX teams move beyond surface-level insights and truly understand what drives engagement. For example, usability might directly impact trust, which in turn boosts satisfaction and leads to higher engagement. Traditional methods might capture these factors separately, but SEM reveals the full story by quantifying their connections. SEM also enhances predictive modeling. By integrating techniques like Artificial Neural Networks (ANN), it helps forecast how users will react to design changes before they are implemented. Instead of relying on intuition, teams can test different scenarios and choose the most effective approach. Another advantage is mediation and moderation analysis. UX researchers often know that certain factors influence engagement, but SEM explains how and why. Does trust increase retention, or is it satisfaction that plays the bigger role? These insights help prioritize what really matters. Finally, SEM combined with Necessary Condition Analysis (NCA) identifies UX elements that are absolutely essential for engagement. This ensures that teams focus resources on factors that truly move the needle rather than making small, isolated tweaks with minimal impact.
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I just analyzed HeyGen (one of the leading AI avatar apps) product experience through a behavioral lens. There are two found powerful UX lessons that apply to nearly any digital product and one big miss. ✅ Unpacking abstract value: Instead of vague promises about being an "AI platform," HeyGen shows specific use cases: create avatars, generate videos, make UGC ads, and translate content. Research shows unpacking complex ideas into concrete examples helps users understand your value proposition and envision specific outcomes. ✅ Templates reduce friction: Their 53+ ready-to-use templates make creation logistically easier while providing psychological scaffolding—showing what's possible and reducing decision paralysis. ❌ The vanity barrier: To create your avatar, you need to record yourself. But what if you're not camera-ready when signing up? I wasn’t :) This mirrors the challenge Airbnb faced when asking hosts to photograph their homes (solved by sending professional photographers). It mirrors what Google found when asking small businesses to share pictures of their store on Google Maps (solved by lots of nagging). Users will procrastinate rather than create something they're not proud of. The behavioral insight: Your users want to look good. This is a barrier. It’s your job to make them shine. Self-image concerns do impact user adoption of features. What other products have you seen that thoughtfully address psychological barriers to engagement? If you're building AI features and struggling with adoption, this teardown reveals principles you can apply immediately—whether your users are having a good hair day or not. Link to the full teardown in comments 👇 #AI #ProductDesign #BehavioralScience
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Engagement goes beyond information and design. It comes from keeping learners in a consistent learning GROOVE. Think of a great song - it doesn't work if it's all climax or all verse. A good producer knows when to build tension, when to drop it, when to keep you moving. Your course needs that same rhythm. Three things drive engagement: clear content, good design, and easy navigation. But there's a fourth thing most people miss. Groove. It's the pulse underneath everything. The pattern that keeps learners' brains alert and interested—without burning them out. Groove is rhythm. It's switching between different types of mental work. A learner's brain can't stay focused at full intensity for an hour straight. It needs to breathe. Too much relaxation and they zone out. Too much pressure and they crash. Three Rules for Building Groove 1. Switch Between Hard and Easy Hard → Easy → Hard → Easy. After a tough explanation, give a practical example. After the example, ask a question. After the question, a small exercise. After the exercise, time to reflect. This switching keeps the brain active. It doesn't get bored, but it also doesn't overload. 2. Use Repeating Patterns Quick check-ins. Questions to think about. "Pause and think" moments. Fast facts. Repetition isn't boring—it's comforting. The learner starts to expect the rhythm, and that predictability helps their brain stay relaxed but alert. The groove becomes familiar. The groove becomes trustworthy. 3. Use Contrast Don't let the format, speed, or amount of information become the same. Change things on purpose. Video, then text. Long form, then short. Dense, then simple. Lots of visuals, then clean space. Contrast isn't chaos. It's the difference between a groove that works and one that just sits there. A 15-Minute Groove (Example) A smooth 15-minute lesson can look like this: Entry Reflection (30 sec) Why It Matters — Expert Video (2 min) Lesson Goals (30 sec) Core Idea — Short Text (1 min) Concept Explainer — Video (2–3 min) Mini Article / Carousel (2–3 min) Application Cases (2 min) Quiz or Mini Simulation (2 min) Wrap Up (1 min) That's 15 minutes. Not boring. Not rushed. Groove. Build 10–12 lessons with this rhythm, and something shifts. Learners stop fighting the course. They move through it. The rhythm carries them. Ask yourself: Does your course have a pulse? Or does it just exist?
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Have you ever stopped to think about why a simple loading animation can make you smile or how a smooth page transition makes you feel more confident in a website? There's a fascinating science behind it all – the psychology of motion. We are hardwired to notice movement. It's a survival instinct, honed over millennia to detect predators, prey, and potential threats. But in the digital realm, designers can harness this primal response to create captivating user experiences. How does it work? ✦ Attention-grabbing: Motion instantly captures our attention, directing our focus to specific elements on a screen. A subtle animation or a well-timed transition can pull users into your content and make them want to explore further. ✦ Visual hierarchy: By strategically using motion, you can guide users through your interface, highlighting important information and calls to action. Think of it as a visual roadmap, leading users on a seamless journey through your product. ✦ Emotional engagement: Motion isn't just about visual appeal; it can evoke emotions and create deeper connections with users. A joyful bounce animation can spark delight, while a smooth transition can instill a sense of calm and trust. ✦ Cognitive fluency: Motion can make complex information more accessible. Animated diagrams, graphs, or interactive elements can break down abstract concepts into digestible pieces, improving user comprehension and engagement. But how can you apply this knowledge to your UX design? - Start with a purpose: Every animation should have a clear goal. Are you trying to grab attention, guide users, evoke emotions, or explain complex information? - Keep it subtle: Too much motion can be overwhelming. Use subtle animations to enhance the experience, not distract from it. - Consider the context: The type of motion you use should align with your brand's personality and the overall tone of your product. - Test and iterate: Gather feedback from users to see how they respond to your animations. Refine your designs based on their input to create a truly delightful experience. By understanding the psychology of motion and using it strategically, you can create user experiences that are not only visually appealing but also intuitive, engaging, and emotionally resonant. What are some of the most memorable uses of motion you've encountered in digital products (websites or mobile apps)? Share your thoughts in the comments! #motiondesign #uxdesign #psychology #userexperience #ui
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