Visual Design Principles for User Experience

Most people don’t need more charts. They need the right chart. This graphic shows 50 ways to visualize data — and that’s exactly why many dashboards are confusing. Too many choices, not enough thinking. Here’s how I’d use this: Start with the question, not the chart. Comparison? Use column/bar. Trend? Line, area, or sparkline. Distribution? Histogram or box/violin (not 12 pie charts…). Choose by relationship, not aesthetics. Correlation → scatter, correlogram. Composition → stacked bar/area, not donut overload. Flow or structure → Sankey, org chart, network. One insight per visual. If your audience can’t say, “This chart shows X,” in 5 seconds, it’s decoration, not communication. Reduce cognitive load. Fewer colors. Clear labels. No 3D anything. Ever. Build your “go-to 10.” From these 50, pick 10 charts you’ll master. Use them 90% of the time. The pros look “simple” because they obsess over clarity, not complexity. Save this as a checklist for your next report or dashboard. And if you want to go deeper into data storytelling and visualization, Corporate Finance Institute® (CFI)'s resources are a great place to start.

One map. 506,000 impressions. A masterclass in visual storytelling. Last year, I shared a visualization of train travel times across Europe by Benjamin Tran Dinh and it was one of the most wide reaching posts of the year. But the data itself wasn't new. So, why did this specific map go viral and what can we learn from it. Most data visualizations fail because they require "cognitive load." You have to read the legend. You have to interpret the scale. This map removed that friction. Here is the 3-part framework that made it successful: 1. It makes the invisible, visible. We think of distance in miles or kilometers. But we live in hours and minutes. By distorting the map based on time (isochrones), it validates our reality. 2. It tells a story of inequality. Look closely at the map. The arms of high-speed rail shoot out from Paris. But the gaps in the network are just as loud. It turns a boring infrastructure dataset into a debate about connectivity (and German train delays). 3. It invites the "me" factor. You can’t look at this map without checking your own city. "Can I get to Berlin?" "Why is the connection to Spain so bad?" Good data viz isn't about the data. It's about the user's place within the data. Stop building dashboards that require a manual to read. - Reduce the cognitive load. - Center the user's experience. - Make the aha moment instant. Complex data doesn't have to be complicated. 🌎 I'm Matt Forrest and I talk about modern GIS, earth observation, AI, and how geospatial is changing. 📬 Want more like this? Join 11k+ others learning from my daily newsletter → moderngis.com

Bad data visualization is everywhere — here’s how to fix it. Understanding the essentials of effective data visualization is one thing, but witnessing poor data visualization in practice offers the real lessons. Take a look at this chart, “How Baby Boomers Describe Themselves,” which had some fundamental errors. The major problem? It disregards the rule of relativity. The design implies the data forms a complete whole, yet the percentages total 243%. This clearly indicates the wrong visual format was selected. If respondents could choose multiple answers, the data should be shown as a grouped bar chart rather than being forced into a single human figure. Additionally, contrast is mishandled: • Size contrast is deceptive – Larger sections don’t correlate with larger values. • Color contrast is excessive – Every section demands attention, causing nothing to stand out. • Shape contrast is absent – The chart depends solely on color to distinguish categories, reducing clarity. • Annotations cause confusion – Instead of providing clarity, extra design elements divert attention from the main insights. So, how to fix it? Opt for the correct visual structure, use proportional sizes, apply color contrast wisely, introduce meaningful shape variations, and ensure annotations are purposeful. Bad data visualization doesn’t just appear cluttered. It misleads. Correcting it involves directing the audience to the right insights without making it a struggle. Art+Science Analytics Institute | University of Notre Dame | University of Notre Dame - Mendoza College of Business | University of Illinois Urbana-Champaign | University of Chicago | D'Amore-McKim School of Business at Northeastern University | ELVTR | Grow with Google - Data Analytics #Analytics #DataStorytelling

Most plots fail before they even leave the notebook. Too much clutter. Too many colors. Too little context. I have a stack of visualization books that teach theory, but none of them walk through the tools. In Effective Visualizations, I aim to fix that. I introduce the CLEAR framework—a simple checklist to rescue your charts from confusion and make them resonate: Color: Use color sparingly and intentionally. Highlight what matters. Avoid rainbow palettes that dilute your message. Limit plot type: Just because you can make a 3D exploding donut chart doesn’t mean you should. The simplest plot that answers your question is usually the best. Explain plot: Add clear labels, titles. Remove legends! If you need a decoder ring to read it, you’re not done. Audience: Know who you’re talking to. Executives care about different details than data scientists. Tailor your visuals accordingly. References: Show your sources. Data without provenance erodes trust. All done in the most popular language data folks use today, Python! When you build visuals with CLEAR in mind, your plots stop being decorations and start being arguments—concise, credible, and persuasive.

This is Colour One of the things I love about Richard Rogers’s buildings (and his shirts) was his ability to embrace colour. Colour is a powerful tool in architecture and design, but there is nowhere to hide — and as a result it can be one of the scariest too. Grey and beige are often ‘safe bets’, but when used with skill, colour can be a beautiful antidote to a dull built environment. At its simplest, colour can be described in terms of hue (the colour itself), saturation (a colour’s intensity), and lightness (how light or dark it appears). Isaac Newton demonstrated that white light contains the full visible spectrum — long observed in the rainbow — and arranged these colours in a wheel to reveal their relationships. This work became the foundation of modern colour theory and, ultimately, the development of the standardised colour systems we use today. There are some core principles that all designers need to understand when working with and specifying colour: – Additive colour Applies to light and screens (not printed or painted colour). Colour is created by combining red, green and blue light (RGB). – Subtractive colour Applies to pigments and print. Unlike light, adding more pigment absorbs more light, so colours become darker and less vivid. The primary pigments are cyan, magenta and yellow, with black added for control (CMYK). – Perceptual systems Colour wheels and colour harmonies are used to organise and balance schemes. As there are countless possible combinations, colour systems have been developed to allow consistent and repeatable specification — such as RAL and Pantone. It is also important to recognise that colour is experienced differently across cultures, and from person to person. This graphic brings together some of the key fundamentals of colour theory used in design practice. This post is intended only as an introduction. Always refer to authoritative sources, colour standards and manufacturer data when developing or specifying colour schemes. Further reading 📚 Newton — Opticks 📚 Josef Albers — Interaction of Color 📚 RAL & Pantone colour systems — standardised colour specification 📚 BS / ISO colour and appearance standards If you’re studying architecture, working in construction, or enjoy understanding how buildings are put together, consider following for regular “this is a…” posts. #architecture #design #colourtheory #architecturaleducation #buildingmaterials #interiordesign #thisisa #visualcommunication

How Itten’s color theory can teach us to design more accessible interfaces Lately I read about Johannes Itten’s color theory from the Bauhaus, and I was surprised by how relevant it feels for modern accessibility. We usually design according to WCAG contrast ratios, which are essential for readability, especially for people with low vision, age-related sight loss, or color-vision deficiencies. But contrast is not only a number, it is an important human experience. ✨ Research shows that perception is more complex than a simple ratio. A recent study on simultaneous color contrast found that surrounding colors can change how bright or saturated an element appears, even if its values stay the same. This means a “WCAG-passing” color combination can still feel unclear or uncomfortable for users sensitive to contrast or with visual processing differences (the link to the study: https://lnkd.in/eBynmhrr) Accessibility guidelines also note that poor contrast impacts many more people than we usually think: older adults, people using screens in bright light, or users with cognitive load who rely on clear visual hierarchy. Itten identified seven types of color contrast (light–dark, hue, saturation, warm–cool, complementary, simultaneous, and extension/proportion). While not all are part of WCAG, they offer a richer way to design for diverse perception: • Light–dark supports users with low vision - it's a foundation of WCAG. • Hue & saturation help people with color-vision deficiencies who rely on differences beyond classic red/green cues. • Simultaneous contrast reminds us that background colors can distort readability - important for users with migraines or sensory sensitivity. • Extension (proportion) helps create hierarchy for users who struggle with attention or cognitive overload. • Complementary contrast boosts differentiation when combined with sufficient luminance contrast. Here's a recent review of Itten’s work shows how his ideas still shape color education today: https://lnkd.in/eE7hVzmc So instead of treating contrast ratio as a pass/fail checkpoint, we can think in layers: ✔ Start with WCAG luminance contrast (the baseline for accessibility) ✔ Add Itten-inspired contrasts to strengthen perceptual clarity ✔ Test in different environments (low light, bright sun, low saturation modes) ✔ Consider users with diverse visual abilities (low vision, CVD, cognitive load, sensory sensitivity) It’s a reminder that accessible colour design is not only a mathematical problem, in reality it is a perceptual, human, systemic one. #Accessibility #WebAccessibility #A11y #InclusiveDesign #UXDesign #UIUX #UserExperience #ColorTheory #JohannesItten

The Power of Color Theory in Luxury Branding 🎨✨ Luxury brands don’t just choose colors—they strategically craft emotions, perceptions, and desire through color theory. Every hue tells a story, influencing how we experience prestige, exclusivity, and timeless elegance. Here’s how some of the most iconic luxury brands use color psychology to their advantage: 🔹 Black – The Ultimate Symbol of Power & Sophistication 🖤 Used by: Chanel, Prada, Rolls-Royce Why? Black represents mystery, exclusivity, and timeless elegance. It signals understated luxury, making products feel elite and desirable. 🔹 Gold – Opulence & Prestige ✨ Used by: Versace, Cartier, Tom Ford Why? Gold evokes wealth, grandeur, and aspiration. It’s used to highlight craftsmanship, making even packaging feel like a treasure. 🔹 White – Purity & Minimalist Luxury 🤍 Used by: Balenciaga, Givenchy, Apple Why? White conveys simplicity, modernity, and quiet luxury. It appeals to a clientele that values understated sophistication over flashy branding. 🔹 Red – Passion & Power ❤️ Used by: Valentino, Christian Louboutin, Ferrari Why? Red is a statement color—bold, energetic, and seductive. It draws attention and symbolizes confidence, desire, and status. 🔹 Blue – Trust & Timelessness 💙 Used by: Tiffany & Co., Rolex, BMW Why? Blue represents heritage, reliability, and exclusivity. Tiffany Blue, for example, is instantly recognizable, evoking feelings of romance and prestige. 🔹 Orange – Boldness & Creativity 🧡 Used by: Hermès, Veuve Clicquot Why? Orange is rare in luxury, making it distinctive and memorable. It conveys creativity, warmth, and exclusivity, reinforcing a brand’s heritage and craftsmanship. Why Color Matters in Luxury Luxury isn’t just about the product—it’s about the experience and emotion it creates. Color psychology shapes perception, strengthens brand identity, and makes an instant impact on consumers. #LuxuryBranding #ColorPsychology #LuxuryMarketing #BrandIdentity #EmotionalBranding

Your brand’s colors aren’t just seen ↴ They’re felt. Ever notice how some websites instantly feel trustworthy, exciting, or calming the moment you land on them? That’s not luck. It’s color theory doing its thing. Colors have a huge impact on how people perceive your brand and interact with your website. They’re not just a finishing touch—they’re a strategic tool. Here’s a breakdown of what they can do: 🔵 Blue Builds Trust It’s why banks, healthcare, and tech giants like Facebook, LinkedIn, and PayPal love it. Blue whispers, “You’re in safe hands.” 🔴 Red Sparks Action Bold, energetic, and attention-grabbing. Red’s the go-to for urgency, passion, and those “act now” vibes. 🟢 Green = Growth From eco-friendly brands to wellness and finance, green screams nature, balance, and prosperity. 🟡 Yellow Grabs Attention Cheerful, energetic, and hard to miss. Just remember—a little yellow packs a big punch. ⚫ Black Means Luxury Timeless, sophisticated, and premium. Black doesn’t shout; it speaks with confidence and elegance. When it comes to website design, color isn’t just about looking good—it’s about creating the right emotional connection. The right palette can: → Strengthen your brand identity → Guide user behavior (think CTA buttons that stand out) → Evoke emotions that align with your message For instance, a wellness brand might opt for calming greens and blues, while an e-commerce site uses red to create urgency during sales. So, be intentional with your colors. They’re not just design elements—they’re powerful psychological cues that influence how your audience feels, thinks, and acts. --- Follow Jeff Gapinski for more content like this. ♻️ Share this to help someone else out with web design today #colortheory #webdesign #psychology

“𝗨𝘀𝗲𝗿𝘀 𝗱𝗼𝗻’𝘁 𝗰𝗮𝗿𝗲 𝗮𝗯𝗼𝘂𝘁 𝗿𝗲𝗽𝗼𝗿𝘁 𝗱𝗲𝘀𝗶𝗴𝗻.” You sure? Because every major study on usability, adoption, and information design says otherwise. Poor design slows decision-making, hides critical insights, and erodes trust. Good design reduces time to value - and makes the difference between used and ignored reports. Let’s talk specifics. These aren’t opinions - they’re proven UX principles, backed by decades of research: 𝗝𝗮𝗸𝗼𝗯’𝘀 𝗟𝗮𝘄 – 𝗨𝘀𝗲𝗿𝘀 𝘀𝗽𝗲𝗻𝗱 𝗺𝗼𝘀𝘁 𝗼𝗳 𝘁𝗵𝗲𝗶𝗿 𝘁𝗶𝗺𝗲 𝘂𝘀𝗶𝗻𝗴 𝗼𝘁𝗵𝗲𝗿 𝘁𝗼𝗼𝗹𝘀. 𝘚𝘰 𝘸𝘩𝘦𝘯 𝘗𝘰𝘸𝘦𝘳 𝘉𝘐 𝘥𝘰𝘦𝘴𝘯’𝘵 𝘣𝘦𝘩𝘢𝘷𝘦 𝘭𝘪𝘬𝘦 𝘵𝘩𝘦 𝘸𝘦𝘣 𝘢𝘱𝘱𝘴 𝘵𝘩𝘦𝘺 𝘬𝘯𝘰𝘸, 𝘪𝘵 𝘧𝘦𝘦𝘭𝘴 𝘣𝘳𝘰𝘬𝘦𝘯. 𝗗𝗲𝘀𝗶𝗴𝗻 𝗶𝗺𝗽𝗹𝗶𝗰𝗮𝘁𝗶𝗼𝗻: Use clear navigation, clickable affordances, and common interaction patterns. 𝗘𝘅𝗮𝗺𝗽𝗹𝗲: Place slicers where users expect filters - top-left or directly above visuals. 𝗟𝗮𝘄 𝗼𝗳 𝗖𝗼𝗺𝗺𝗼𝗻 𝗥𝗲𝗴𝗶𝗼𝗻 – 𝗘𝗹𝗲𝗺𝗲𝗻𝘁𝘀 𝘄𝗶𝘁𝗵𝗶𝗻 𝘁𝗵𝗲 𝘀𝗮𝗺𝗲 𝗯𝗼𝘂𝗻𝗱𝗮𝗿𝘆 𝗮𝗿𝗲 𝘀𝗲𝗲𝗻 𝗮𝘀 𝗮 𝗴𝗿𝗼𝘂𝗽. 𝘛𝘩𝘪𝘴 𝘩𝘦𝘭𝘱𝘴 𝘶𝘴𝘦𝘳𝘴 𝘴𝘤𝘢𝘯 𝘢𝘯𝘥 𝘱𝘳𝘰𝘤𝘦𝘴𝘴 𝘪𝘯𝘧𝘰𝘳𝘮𝘢𝘵𝘪𝘰𝘯 𝘧𝘢𝘴𝘵𝘦𝘳. 𝗗𝗲𝘀𝗶𝗴𝗻 𝗶𝗺𝗽𝗹𝗶𝗰𝗮𝘁𝗶𝗼𝗻: Use whitespace or cards to visually group KPIs, charts, and filters. 𝗘𝘅𝗮𝗺𝗽𝗹𝗲: Group related metrics like Revenue, Margin, and YoY% into a single visual region. 𝗔𝗲𝘀𝘁𝗵𝗲𝘁𝗶𝗰-𝗨𝘀𝗮𝗯𝗶𝗹𝗶𝘁𝘆 𝗘𝗳𝗳𝗲𝗰𝘁 – 𝗔𝘁𝘁𝗿𝗮𝗰𝘁𝗶𝘃𝗲 𝘁𝗵𝗶𝗻𝗴𝘀 𝗮𝗿𝗲 𝗽𝗲𝗿𝗰𝗲𝗶𝘃𝗲𝗱 𝗮𝘀 𝗲𝗮𝘀𝗶𝗲𝗿 𝘁𝗼 𝘂𝘀𝗲. 𝘌𝘷𝘦𝘯 𝘪𝘧 𝘵𝘩𝘦 𝘣𝘢𝘤𝘬𝘦𝘯𝘥 𝘭𝘰𝘨𝘪𝘤 𝘪𝘴 𝘤𝘰𝘮𝘱𝘭𝘦𝘹, 𝘢 𝘤𝘭𝘦𝘢𝘯 𝘜𝘐 𝘣𝘶𝘪𝘭𝘥𝘴 𝘵𝘳𝘶𝘴𝘵 𝘢𝘯𝘥 𝘳𝘦𝘥𝘶𝘤𝘦𝘴 𝘶𝘴𝘦𝘳 𝘧𝘳𝘶𝘴𝘵𝘳𝘢𝘵𝘪𝘰𝘯. 𝗗𝗲𝘀𝗶𝗴𝗻 𝗶𝗺𝗽𝗹𝗶𝗰𝗮𝘁𝗶𝗼𝗻: Typography, spacing, and alignment aren’t fluff - they’re functional. 𝗘𝘅𝗮𝗺𝗽𝗹𝗲: A well-spaced, readable KPI section increases scan speed and comprehension. 𝗠𝗶𝗹𝗹𝗲𝗿’𝘀 𝗟𝗮𝘄 – 𝗧𝗵𝗲 𝗮𝘃𝗲𝗿𝗮𝗴𝗲 𝗽𝗲𝗿𝘀𝗼𝗻 𝗰𝗮𝗻 𝗵𝗼𝗹𝗱 7 ± 2 𝗶𝘁𝗲𝗺𝘀 𝗶𝗻 𝘄𝗼𝗿𝗸𝗶𝗻𝗴 𝗺𝗲𝗺𝗼𝗿𝘆. 𝘠𝘦𝘵 𝘮𝘢𝘯𝘺 𝘳𝘦𝘱𝘰𝘳𝘵𝘴 𝘰𝘷𝘦𝘳𝘸𝘩𝘦𝘭𝘮 𝘶𝘴𝘦𝘳𝘴 𝘸𝘪𝘵𝘩 20+ 𝘤𝘩𝘢𝘳𝘵𝘴 𝘰𝘯 𝘢 𝘴𝘪𝘯𝘨𝘭𝘦 𝘱𝘢𝘨𝘦. 𝗗𝗲𝘀𝗶𝗴𝗻 𝗶𝗺𝗽𝗹𝗶𝗰𝗮𝘁𝗶𝗼𝗻: Prioritize. Show what matters first. Use drill-through or navigation to reveal detail. 𝗘𝘅𝗮𝗺𝗽𝗹𝗲: Use a landing page with 3–5 high-value metrics and actions. Design is not just decoration. It’s how users understand your data. It’s what makes insights actionable. And it’s the difference between adoption and abandonment. If users don’t care about report design, it’s probably because they’ve never seen what good design can do. #PowerBI #DataViz #UIUX

🎨 Color Theory — A Practical Guide for Designers Color is more than decoration. It shapes emotion, hierarchy, readability, and user behavior. Understanding color theory helps designers make intentional, confident design decisions. --- 🟢 The Color Wheel The foundation of all color relationships. It shows how colors interact, contrast, and harmonize with each other. • Warm colors — energetic, bold, attention-grabbing • Cool colors — calm, professional, trustworthy --- 🔴 Color Types • Primary – Red, Blue, Yellow • Secondary – Green, Orange, Purple • Tertiary – Mix of primary + secondary colors These combinations help expand your palette while maintaining balance. --- 🎯 Color Combinations Used to create harmony or contrast in design: • Complementary – High contrast, strong focus • Analogous – Smooth, natural flow • Triadic – Balanced and vibrant • Split-Complementary – Contrast with flexibility • Square & Tetradic – Rich, complex palettes --- 🌈 Color Properties • Hue – The color itself • Saturation – Intensity or purity • Luminance – Brightness or lightness Small changes here can completely shift mood and usability. --- 🖌️ Color Variations • Shade – Add black (darker) • Tint – Add white (lighter) • Tone – Add gray (muted) • Monochromatic – One color, multiple variations Great for clean, modern UI systems. --- 🖥️ Color Modes • RGB – Digital screens (additive colors) • CMYK – Print design (subtractive colors) • Grayscale – Focus on contrast and structure Choosing the right mode ensures consistency across platforms. --- 📌 Why Color Theory Matters in UX/UI • Improves readability and accessibility • Guides user attention • Builds brand recognition • Influences emotion and trust • Creates visual hierarchy --- 👤 Md Mosabbir Hossain 🎨 Founder — UI Verse 🌐 uiverse.co my personal website: https://lnkd.in/dbYXJHEJ