Effective Use of Graphics

Your infographics are unreadable. Over half of Amazon traffic comes from phones. Your tiny text and eight bullet points disappear on mobile screens. Sellers cram too much information into secondary images thinking more details drive conversions. The opposite happens. Cluttered images get skipped entirely. Your infographic should communicate one clear message per image. Not three benefits. Not five features. One thing that matters to the buyer. Sellers treat product images like instruction manuals. Wrong. Customers scan for three seconds maximum. Dense paragraphs and small fonts fail that test. Before and after images work better than feature lists for specific categories. Cleaning products. Skincare. Organization items. These need visual proof, not bullet points explaining benefits. Dimension infographics only help when customers can actually see the scale. Show your product next to common objects people recognize. A chart with measurements in millimeters means nothing without context. Package contents images reduce return rates and support tickets. Buyers want to see exactly what arrives in the box. Surprises drive negative reviews. Brand consistency matters across all infographics. Random fonts and colors make listings look amateur. Pick one style and use it everywhere. Test different infographic versions before deciding which performs best. Your assumptions about what customers care about are usually wrong. Benefit-focused images often beat feature lists. But you won't know until you test. Whitespace isn't wasted space. It makes information digestible and draws attention to what matters. Dense layouts overwhelm buyers and kill conversion rates. Load your listing on your phone right now. If you can't read the text without zooming, your customers can't either. Simple infographics with large text and one clear benefit per image outperform complex designs with multiple data points every time.

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.

When you’re working with graphs, be judicious about how you use colors. Color is one of those visual elements that can easily become a distraction if overused, or if not handled carefully. There are ideally 4 ways you should be using colors: 🖍️ Color Gradients: Use gradients / color intensity to direct the viewer’s eyes toward specific elements or specific areas of a chart. 🖍️ Color Isolation: Emphasize certain elements by setting them apart with a "unique" color. This contrast will immediately direct attention to the highlighted part. 🖍️ Color Saturation: Use highly saturated colors for elements you wish to highlight, while reserving less saturated colors for lesser important elements. 🖍️ Color Callouts: Use colored callout boxes or annotations to accentuate particular data points or elements. This will guide attention and provide additional context to the chart. Colors are not just arbitrary choices in design; they are powerful tools for communication. So you need to use them thoughtfully in ways that it can enhance the visual impact of a design without hurting the message and causing any confusion for the audience. As Lisa Charlotte Rost, a writer for Datawrapper very accurately mentioned - "In data visualization, color is not just a tool; it's a language.”

I often stress this in workshops: if you want people to actually read the explanation of your visual, place the information next to the visual, NOT separate from it. And this morning (I woke up way too early) I stumbled onto a great eye-tracking study that shows some evidence for this. The researchers compared two layouts of the same figure: Separated – text far away from the visuals. Readers read the title, skipped the text, and jumped straight to the figure without context. Integrated – text and visuals placed together. Readers were far more likely to read the explanation and connect it with the visual. The results show that integrating text with visuals helps the reader also read the accompanying text. Yet, in peer-reviewed papers, subsidy proposals and reports, we often do the opposite [e.g. "See figure 3, three pages down"]. So when you're designing a figure, infographic, or diagram, make sure that the explanation of the visual is integrated into the visual, and not presented separately. Otherwise, your explanation might be ignored, or worse misunderstood. Reference: Holsanova, J., Holmberg, N., & Holmqvist, K. (2009). Reading information graphics: The role of spatial contiguity and dual attentional guidance. Applied Cognitive Psychology, 23(9), 1215–1226. doi.org/10.1002/acp.1525 #infographics #makingsciencesexy

There is an undercurrent here that has no idea of what #datavis is about, and keeps repeating the mantra “bars for values, lines for evolution, pies for proportions”. And everything should be familiar at all costs. This is the ignorance that gave us the visual layer in #PowerBI. So, let's talk about it. First off: you are free to do whatever you want when translating numbers into a visual language (basic caveats apply). In a business context, where (in theory) people prefer more effective charts, you need: - The data and a good understanding of it, obviously; - Clarify *the* business question the chart must answer; - The set of objects and their properties you can use to answer them effectively (the chart engine); - The context (audience profile, distribution, etc). Shockingly, in a context of low graphic literacy, you don't really need to bother with familiarity (slight exaggeration). What you need to factor in are things like: - How effective the chart is? - How do users evaluate it? - Do they recognize it's a significant improvement (insights, time saving)? - Do they think it deserves the effort of *becoming* familiar with it? - Can it easily be made in Excel? 😀 (in other words, can it be added considering the current processes and skills without significant disruption?) Here are three examples of effective charts that many people are not familiar with, and don't fit the narrative of basic and familiar charts: - Small multiples (easily compare/monitor multiple entities) - Cycle plots (go beyond seasonality) - All the family of dot plots (much more effective than bar charts for two or more series, see below) So, what should you do in your organization? - Clarify what are the most common business questions - Decide how to best answer them - Standardize as much as possible and, if you can, encode those standards into the chart library. - Turn this into a stylebook and share it - Make it a living document - Enforce the basic ideas, but leave some room for people to experiment with new ones. (Shameless plug: this is what I help organizations do in my in-person, 2-day #datavis course. So, if you're in Portugal…) Bottom line: improve data and graphic literacy in your organization. Don't leave anyone behind, but don't assume a couple of old chart types people are familiar with can answer today's complex and nuanced questions. (Oh, and Excel can make better charts than you think. Here is an example I shared previously. Also, see how much more effective the dot plot is compared to the bar chart.)

Why showing text and graphics simultaneously is like trying to watch two movies at once - and the better alternative backed by research. Your brain has limits. Let's use them wisely. Most eLearning overloads learners with: ↳ Dense text blocks ↳ Complex graphics ↳ Information overload Here's the science-backed solution: 1️⃣ Split Processing Power • Your brain has two channels • Visual for graphics/images • Auditory for spoken words • Don't max out either one 2️⃣ The Power of Voice • Narration > on-screen text • Frees up visual processing • Reduces cognitive strain • Better retention rates 3️⃣ Strategic Implementation • Use audio for explanations • Keep visuals clean and focused • Sync narration with graphics • Let each channel do its job Real-world application: ☑️ Replace text walls with narration ☑️ Sync audio/visual timing perfectly ☑️ Save text for key terms only ☑️ Design for dual-channel processing The results? ↳ Reduced cognitive load ↳ Improved engagement ↳ Faster learning curves The secret isn't more content. It's smarter delivery. Your learners' brains will thank you. What small change could you make in your next course to ease your learners’ cognitive load?

7 visuals any intelligence analyst can use to communicate assessments more effectively. Effective communication is as essential a skill for intelligence practitioners as collection or analysis. Without sound written, verbal, or visual communication to the decision-maker, all the time and effort invested into intelligence work is wasted. Where pictures express a thousand words, visual communication is an extremely powerful method to convey facts, logic, and judgements. The first rule is that any image is more appealing to the prospective audience than a wall of text. However, graphic design is not known as a strong point for most analysts. Here are 7 simple visuals any analyst can use: 1. Maps 2. Timelines 3. Process diagrams 4. Impact/risk/threat prioritisation (traffic lights) 5. Graphs 6. Network diagrams 7. Dashboards Some have bespoke software to aid production, but they can also be done – often quicker – with a basic understanding of powerpoint, word, and the screen snipping tool. Regardless of type, general rules for visual communication are: 1. The visual supports the message. Have a clear understanding of the key message before starting. Write out the message first, then produce the visual. 2. Basics still apply. Ensure the visual identifies the bottom line up front and clearly distinguishes between facts and assessment. 3. Keep it simple, less is more. Visuals are not an opportunity to cut and paste a written report into a powerpoint slide. Let the visuals stand in for words. 4. Measure once, cut twice. If you used a sketch or visual to help integrate or interpret the problem during analysis, that is a good indicator it will also help the decision maker to understand it. With a few tweaks and polish, you can reuse your rough drawings and save time in production. 5. Templates save time. For dashboards, maps, or storyboards, using the same format saves time. Once you find a format that works, reuse it. 6. Use visual shortcuts. There are many social and cultural visual cues you can use to aid communication. Traffic lights indicate relative threat or priority (green, orange, red). Icons like the red cross or crescent for medical, anchors for ships, lightning bolts for power. Ensure they fit the culture you're presenting to. 7. Learn some basic design hierarchy – scale, spacing, colour, positioning, and typography help prioritise information and guide the customer. This knowledge will elevate your skills well above the average analyst. Finally, iterate and innovate. The first attempt will be far from perfect, but practice will develop your technical ability and direct and indirect customer feedback will refine and home in on the best way to deliver the key message. Incorporating visual communication elevates good intelligence work into something that gets seen by decision-makers. #intelligenceanalysis #intelligencetraining #intelligenceleadership

Visuals are perhaps the most underused tool in legal writing (after technology). Most lawyers are still terrified to use things like charts, graphs, tables, timelines, and images. None of the court cases they read in law school had them; none of the briefs they’ve read from their mentors had them. There must be some rule against using visuals, right? Wrong. There is no rule against using visuals, even several of them, in your briefs or memos. Once upon a time, pulling off a visual was tricky. Creating a graph or illustration could require an entire outside team. These days, you can whip up snazzy visuals in seconds. Just using Microsoft PowerPoint’s built-in features is enough to achieve impressive visual feats. Tons of other programs can create a vast array of visuals these days. What’s more, judges are overwhelmingly using digital devices to read legal documents, so the ease of viewing images has increased tenfold. I have yet to hear a judge complain when lawyers use the occasional well-made visual. I’ve heard many judges lament that lawyers never use them. And if you’re writing a document for your team or a client, visuals will impress them even more. That’s a set of skills worth investing in. So, consider creating a visual when: ➡️ You have data to present. Graphs nearly always make data easier to swallow than writing about results. ➡️ You have a complex process to discuss, like an agency decision process, or a factual process, like how a company handled complaints. ➡️ You want to show how a statute, regulation, or any other rule operates in many steps. ➡️ You want to make comparisons, connections, or contrasts among many pieces of evidence or information. Swipe the carousel to explore some of the most useful visuals for legal readers. - I’m Joe Regalia—law professor and legal writing trainer. Follow me and tap the 🔔 to stay updated on every post.

Keep Labels & Graphics Minimal This is the sixteenth in a series of 24 principles we use at Hatch Duo to craft visually compelling, timeless products. Text and icons should support the design, not compete with it. When labels are integrated with care, they quietly guide behavior while preserving aesthetic clarity. Graphic elements influence usability and perception: - Over-labeling creates clutter and undermines trust. - Integrated labels improve clarity while maintaining elegance. - Consistent iconography reinforces brand tone and visual rhythm. When done well, text becomes part of the form, not an afterthought. Integrated Graphics Support Clarity Without Disrupting Form - iPhone side buttons are unlabeled, relying on placement and form to signal use. - Muji CD Player uses the CD itself as the label—front and center, visual and iconic. - Sonos Era 100 uses subtle embossed symbols that align with the product’s geometry. Applying Labels & Graphics with Purpose Use Graphics to Strengthen Formal Composition: → Position text and symbols to support alignment, rhythm, and surface structure. Use scale and contrast instead of excess labeling: → Rely on proportion and tone shifts to prioritize key information cleanly. Rely on affordance before adding icons: → Let form, placement, and interaction suggest function before introducing symbols. Keep symbols consistent across product: → Use a unified graphic style to strengthen recognition and visual clarity. The most effective labels are the ones users barely notice. When integrated with intention, text and graphics become part of the design language—clear, helpful, and invisible. This is just one of 24 principles we use at Hatch Duo to craft elegant aesthetics in physical product design. Stay tuned for the next principle in our Aesthetic Principles Series. #industrialdesign #productdesign #minimalgraphics #aestheticprinciples #hatchduo

A graphic design degree costs £40k and takes 3 years. But you? You're about to get the essentials in under 3 minutes. Because EVERYONE should know how to use design to make their expertise irresistible — whether you're presenting, pitching, or promoting. 👇 But first. The BIG misconception: Most people think visual communication = pictures. Wrong. It’s strategy. It’s how you use: - Layout + structure - Fonts + spacing - Visuals + white space - Content flow 💡 Why it matters: Dual Coding Theory. Allan Paivio (visual communication researcher extraordinaire) says we process info through two systems: both verbal (words) + non-verbal (visuals). We need to use them together for boosting understanding, engagement AND memory. Here’s how to do it like a pro 👇 --- 1️⃣ Visual Hierarchy Everything else serves this one goal: Make sure your audience sees the *right info* in the *right order*. Tips: - Bigger = more important - Closer = related - Structure = use titles, subheads, body - Use white space to reduce cognitive overload - Guide the eye like a story --- 2️⃣ Colour Keep it simple: 🎨 Pick 3: light background, dark text, bright accent ⚖️ Check contrast (aim for 8+): use Adobe Colour Checked to help (https://lnkd.in/eavEBGwD) 🔁 Use consistently Try: Coolors (https://coolors.co) for instant, accessible palettes. --- 3️⃣ Fonts ✔️ Use clean sans serifs (Helvetica, Inter, etc.) OR what is most accessible for your audience. This will be different for neurodivergent people or those with visual impairments. ✔️ Pick one with multiple weights (bold, medium, light). ✔️ Apply consistently for hierarchy Here’s a great resource to help: https://lnkd.in/eJA8NheT --- 4️⃣ Imagery Use visuals *with purpose*. 📸 Every image should enhance understanding, not just decorate 🎨 Stay consistent in style 📋 Attribute if using stock or AI imagery --- That’s your crash course in visual communication. Credibility. Clarity. Clout — without the £40k price tag. What would *you* add to the list? Liked this and want more? Follow me for tips on how to use visual storytelling to collaborate, communicate and change-make 👏