Reducing Cognitive Overload in Digital Products

We design for the average. The average doesn’t exist. April is Autism Acceptance Month. Designing for autism is about building products that work for everyone. Cognitive overload affects everyone. Your brain has limits, and more noise can affect how you perceive things. For some autistic users, this is constant and amplified. Many rely on digital products to navigate daily life. Yet most interfaces ignore them. So what happens? We design experiences that overwhelm the people who need them most. And if your product overwhelms autistic users, it’s exhausting everyone else. Here are 5 principles to get you started: 1. Consistent Structure Keep navigation, layout, and UI patterns identical across your entire product. Why: Sudden changes cause anxiety and disorientation. Example: Shopping cart stays in the top-right corner across every page. 2. Literal Communication Use plain, direct language. Skip idioms and metaphors. Why: Vague language requires guessing and creates confusion Example: "Your payment was declined. Check your card number and try again." 3. Sensory Calm Use muted, natural colours. Avoid pure black/white and bright contrasts. Why: Extreme contrast and bright colours cause sensory overload Example: Dashboard with soft beige background, dark grey text, and 3-4 clearly separated sections 4. User Control Default to sound off. Allow people to pause, stop, or disable animations. Why: Sensory needs vary greatly, and customization prevents overload. Example: Toggles for reduced motion, dark mode, font size, and autoplay off by default. 5. Predictable Interactions Provide clear feedback and progress indicators so users always know where they are. Why: Unexpected interruptions trigger anxiety and break focus. Example: Multi-step form shows "Step 2 of 4" with a progress bar, confirms "Your information was saved" after each step. Better design starts with understanding. 👇🏽What would you add to this list? 🔖 Save this for reference ♻️ Share it with your team ---- ✉️ Subscribe for more accessibility and design insights: https://lnkd.in/gZpAzWSu ---- Accessibility note: This infographic, titled Designing for Autism has the same content as the post. It also includes alt text.

Web accessibility & mental health: why we need to talk about it In my years working as a web accessibility expert, I’ve often noticed: we tend to focus on physical and sensory disabilities, but mental-health issues and cognitive differences often sit in the shadows of our accessibility discussions. Here’s what I’ve come to understand: · A recent study found that when accessibility features designed for cognitive support were absent, even users without disabilities showed declining cognitive engagement over time (eye-tracking & heart-rate monitoring used) (link to the study: https://lnkd.in/e5ZQe2i7) · The World Wide Web Consortium has a dedicated page on Cognitive Accessibility, acknowledging that many user needs are still not addressed in current standards (link to the webpage: https://lnkd.in/enTWiJdJ) · The European Commission published a 2022 study on inclusive web-accessibility for persons with cognitive disabilities, noting that improved cognitive accessibility benefits everyone (link to the study: https://lnkd.in/e7Z-XAxW) 🚨 Why mental health & cognitive accessibility matters, but gets overlooked · Many mental-health conditions affect attention, memory, processing speed, anxiety, distraction. Yet accessibility standards like WCAG only indirectly address these via criteria like “Readable” or “Predictable”. · This means a website can be technically WCAG compliant, but still highly stressful or inaccessible for a person experiencing anxiety, depression, PTSD, or cognitive fatigue. · Because mental-health issues are less visible and more variable, teams often don’t plan for them, yet by doing so we exclude a very large group of users. ✏️ Practical tips for designing with mental-health & cognitive needs in mind 1. Simplify tasks & reduce cognitive load Use clear, concise language; break down complex processes into simple steps. Provide “skip this step” or “help” options when tasks require concentration. 2. Manage pace, timing & interruptions Don’t assume users can process content the same as usual - allow more time, allow pauses. Provide options to reduce motion, remove auto-refreshing content. 3. Offer predictable, consistent navigation and UI Avoid surprises, unexpected changes, hidden actions. People with anxiety or executive-function challenges benefit greatly from consistency. 4. Enable personalization & adaptation Allow users to choose simpler mode, reduce visual clutter, choose focus mode, change colours or fonts. 5. Test with real users Too often we test only “visual/motor” disabilities, but persons with cognitive or mental-health-related challenges have unique real-world pain points and involve them early. If you’re working on a project, I invite you to pause and ask: “How would this feel if I were anxious, processing slowly, distracted, or tired?” Because accessibility is empathy translated into design. #Accessibility #MentalHealth #CognitiveAccessibility #InclusiveDesign #WebAccessibility #A11y #UX

Our brains are lazy on purpose. And that’s a feature, not a bug. Most apps forget how quickly mental overload can push people away. This is the second post in a short series based on the Emotional ROI framework we use at Live Neuron Labs, using a mock app for beginner runners. Today’s focus: the MENTAL dimension—reducing cognitive load. Behavioral science and neuroscience agree: our brains have evolved to avoid unnecessary effort. When a task feels mentally demanding—too many fields to fill out, too many decisions to make, too much to interpret—we’re more likely to delay, disengage, or abandon it entirely. And most of the time, we don’t even realize we’re doing it. In our Emotional ROI framework, mental costs include things like: 🔻 Figuring things out without help 🔻 Decision-making overload 🔻 Uncertainty about what to do next 🔻 Heavy reading or data processing Mental gains, on the other hand, come from: 🟢 Clear, instant understanding 🟢 A surprising insight or “Aha!” moment 🟢 Humor or whimsy that makes thinking fun 🟢 A sense of learning or mastery In this behavioral makeover, we made three small but powerful changes: 🧠 Start onboarding with a single, confidence-boosting question 🧠 Added a motivational insight to increase follow-through 🧠 Offered a default running goal to reduce decision fatigue (with the option to personalize later) These aren’t cosmetic tweaks—they’re designed to reduce mental effort so users can focus on doing, not deciding. 💬 What apps or tools have you encountered that either eased your cognitive load—or left your brain feeling fried?

We removed half the content from a client's product page and their conversion rate jumped 31%. The counterintuitive psychology behind this result will transform how you think about your website... This principle is called the "less-is-better effect": when evaluating options, people often prefer simpler choices with fewer features. More information doesn't always lead to better decisions. In fact, it frequently leads to decision paralysis. In my book Behind The Click, I shared how this psychological principle consistently drives higher conversions. For one meal kit client, we discovered that grouping ingredients together made customers perceive less value. By highlighting each ingredient individually, the same product suddenly felt more substantial. The result was a 31% increase in conversions without changing the actual product! We see this pattern repeatedly across industries: ↳ SaaS dashboards with fewer features often outperform feature-rich competitors ↳ Ecommerce product pages with concise descriptions convert better than encyclopedic ones The psychology is clear: cognitive load kills conversions. Every extra detail forces your customer to expend mental energy. By midday, your customers have already made thousands of decisions. They don't have the capacity to process everything you want to tell them. So ask yourself: ↳ What's the one thing customers absolutely need to know about your product? Start there, and let everything else be optional. Your conversions will thank you 🙏

My best data product was a report I killed. It took 12 hours a week to produce. Leadership glanced at it for maybe 30 seconds. Nobody made a single decision from it. But it had existed for years, so everyone assumed it mattered. We killed it. Nothing broke. Nobody complained. Twelve hours a week came back. Most data teams measure success by what they build. Dashboards shipped. Reports delivered. Pipelines created. The best data teams measure success by what they eliminate. There's an ancient Greek concept called Ataraxia, a state of serene calmness achieved by removing mental disturbance. The Stoics and Epicureans didn't pursue happiness by adding more. They pursued it by subtracting noise. I call this the Ataraxia Stack. It measures the cognitive load you remove, not the features you add. Here's how it works: Level 1: Noise eliminated What reports stopped? What dashboards did people stop checking? What recurring meetings died because the data is now self-evident? If you're only adding and never subtracting, you're contributing to the problem. Level 2: Decisions automated What decisions no longer require a human? Not the big strategic ones. The small repetitive ones that drain mental energy. Reorder thresholds. Alert conditions. Approval workflows. Every decision you automate gives someone back a small piece of their attention. Level 3: Context reduced What information do people no longer need to hold in their heads? What tribal knowledge got codified? What complexity got hidden behind a simpler interface? The goal isn't to give people more data. It's to give them less data to worry about. Level 4: Attention reclaimed How many hours did you give back to the organization? Not productivity. Attention. Time that used to go to noise now goes to thinking. This is the real product. Everything else is a means to this end. The pattern I see over and over is data teams trying to prove their value by shipping more. More dashboards. More metrics. More complexity. And leadership drowning in information while starving for clarity. I've started asking a different question in every data review: What did we eliminate this quarter? If the answer is nothing, we're not making things better. We're just making more. At one company, I reduced ops costs from $100K to $2.5K a month. At another, I cut reporting time from 12 hours to 6 minutes. The real win wasn't the cost savings. It was the attention that came back. Your data team's job isn't to produce. It's to clarify. And sometimes clarity means less, not more. What's the most valuable thing your team ever killed? I'm advising companies on AI strategy and exploring my next executive role (CDO, CPO, VP of Product/AI). If you're building something interesting, or hiring, DMs are open. #DataStrategy #Analytics #Leadership #DataLeadership #Productivity

Alright… let’s talk about 𝗱𝗲𝗰𝗶𝘀𝗶𝗼𝗻 𝗳𝗮𝘁𝗶𝗴𝘂𝗲 in ecommerce. If you’re running a brand, especially DTC, this is a silent killer that’s probably costing you conversions without you even realizing it… 𝗧𝗵𝗶𝗻𝗸 𝗮𝗯𝗼𝘂𝘁 𝘁𝗵𝗶𝘀: Your customer wakes up, scrolls through Instagram, checks Slack, fires off a few emails, grabs a coffee, dodges 10 popups, deals with work, family, maybe kids, maybe traffic all before they ever land on your website. So by the time they’re finally browsing your product page? Their brain is already cooked. And then you hit them with:  • 12 color options  • 3 bundles  • 9 sizes  • A pop-up asking for their email  • A quiz  • A limited-time offer countdown  • And a sticky chat bubble saying Need help? Congrats. You just pushed them over the edge. They’re not going to convert... they’re going to bounce. Because 𝘁𝗼𝗼 𝗺𝗮𝗻𝘆 𝗰𝗵𝗼𝗶𝗰𝗲𝘀 𝗳𝗲𝗲𝗹 𝗹𝗶𝗸𝗲 𝘄𝗼𝗿𝗸. It feels like chores. Like the one I listed out in the first sentence. 𝗗𝗲𝗰𝗶𝘀𝗶𝗼𝗻 𝗙𝗮𝘁𝗶𝗴𝘂𝗲 = 𝗖𝗼𝗴𝗻𝗶𝘁𝗶𝘃𝗲 𝗟𝗼𝗮𝗱 And cognitive load is real. It’s what happens when someone’s brain has to work overtime just to figure out what to do next. Amazon gets this... Apple nails this... They strip out friction so all that’s left is: 𝗗𝗼 𝘆𝗼𝘂 𝘄𝗮𝗻𝘁 𝗶𝘁? 𝗬𝗲𝘀 𝗼𝗿 𝗻𝗼. You need to design your UX the same way. 𝗦𝗼 𝗵𝗲𝗿𝗲’𝘀 𝘄𝗵𝗮𝘁 𝗯𝗿𝗮𝗻𝗱𝘀 𝘀𝗵𝗼𝘂𝗹𝗱 𝗯𝗲 𝗱𝗼𝗶𝗻𝗴: - 𝗟𝗶𝗺𝗶𝘁 𝗰𝗵𝗼𝗶𝗰𝗲𝘀 You don’t need 12 sizes or 19 different shirts on one page. Curate. - 𝗗𝗲𝗳𝗮𝘂𝗹𝘁 𝘁𝗼 𝗯𝗲𝘀𝘁-𝘀𝗲𝗹𝗹𝗲𝗿𝘀  Pre-select your most purchased option so it’s easier to decide. Think recommended or most popular. - 𝗢𝗳𝗳𝗲𝗿 𝗰𝗹𝗲𝗮𝗿 𝗯𝘂𝗻𝗱𝗹𝗲𝘀  But not too many. 2-3 tops. Keep the value prop obvious and simple. - 𝗚𝘂𝗶𝗱𝗲 𝘁𝗵𝗲 𝗷𝗼𝘂𝗿𝗻𝗲𝘆 Instead of giving customers a buffet... give them a tasting menu. Lead them step by step. - 𝗥𝗲𝗱𝘂𝗰𝗲 𝗻𝗼𝗶𝘀𝗲 Every extra popup, CTA, or color variant adds mental drag. You want fast, smooth, brainless buying. - 𝗦𝗶𝗺𝗽𝗹𝗶𝗳𝘆 𝗰𝗵𝗲𝗰𝗸𝗼𝘂𝘁 This one’s non-negotiable. Too many steps = cart abandonment. Use autofill. Offer Shop Pay. Kill unnecessary form fields. 𝗧𝗟𝗗𝗥: Your job isn’t to 𝘴𝘩𝘰𝘸 𝘦𝘷𝘦𝘳𝘺𝘵𝘩𝘪𝘯𝘨.  It’s to 𝘴𝘩𝘰𝘸 𝘵𝘩𝘦 𝘳𝘪𝘨𝘩𝘵 𝘵𝘩𝘪𝘯𝘨 𝘢𝘵 𝘵𝘩𝘦 𝘳𝘪𝘨𝘩𝘵 𝘵𝘪𝘮𝘦. You’re not building a digital warehouse...  You’re building a decision-making machine that feels effortless. Every click, every scroll, every visual… should whisper this is easy. Because if your customer has to 𝘵𝘩𝘪𝘯𝘬 too hard? They won’t. They’ll leave. Fix that, and your conversion rate will thank you.

The average B2B buyer is drowning in information. Research shows: Only 17% of the buying journey is spent meeting with vendors. The rest? Sorting through conflicting information. Trying to make sense of mixed messages. Drowning in content from multiple sources. I watched a deal implode last week. The prospect said: "We went with someone else because their solution was simpler to understand." Not better. Not cheaper. Simpler to understand. This made me curious. So I reviewed our process: - 17 separate emails with attachments - 9 automated follow-ups - 3 technical documents - implementation guides That's 29 separate communications. All living in different inboxes. All requiring different logins. All telling slightly different stories. No wonder they were confused. We were creating cognitive overload. The human brain can only handle 5-9 pieces of information at once. Yet we bombard prospects with dozens. Yesterday, I tried something different: For a new enterprise opportunity, instead of our usual process, I created a single digital space: - One URL they could always return to - Information organized by stakeholder role - Content that appeared in logical sequence - No unnecessary details until requested The feedback was immediate: "This is the clearest sales process I've experienced. I actually understand what you do now." They signed in half our usual sales cycle. Most sales teams obsess over: • What information to share • When to share it Almost none think about: • How to organize it • How to reduce cognitive load Your prospects aren't rejecting your product. They're rejecting confusion. Create clarity, win more deals. The simplest story usually wins. Agree?

𝗪𝗵𝗮𝘁'𝘀 𝘁𝗵𝗲 𝗽𝗿𝗶𝗰𝗲 𝗼𝗳 𝗖𝗼𝗴𝗻𝗶𝘁𝗶𝘃𝗲 𝗢𝘃𝗲𝗿𝗹𝗼𝗮𝗱 𝗶𝗻 𝗣𝗿𝗼𝗰𝘂𝗿𝗲𝗺𝗲𝗻𝘁? Cognitive overload happens when the mental effort required to use a system or process exceeds the user’s capacity. In Procurement, this happens when tools are overly complex or poorly designed. 𝗧𝗵𝗲 𝗰𝗼𝗻𝘀𝗲𝗾𝘂𝗲𝗻𝗰𝗲𝘀 𝗼𝗳 𝗖𝗼𝗴𝗻𝗶𝘁𝗶𝘃𝗲 𝗢𝘃𝗲𝗿𝗹𝗼𝗮𝗱 𝗮𝗿𝗲 𝘀𝗶𝗴𝗻𝗶𝗳𝗶𝗰𝗮𝗻𝘁 and range from a persistent operational inefficiency, more errors, low adoption of complex solutions and ultimately a risk for employee burnout. While some level of complexity is inevitable to support advanced functionality, the way tools and workflows are designed plays a crucial role for their usability, how effectively users can engage with them and the level of mental load they create. The Cognitive Load Theory (CLT), introduced by John Sweller in the 1980s, provides a framework for reducing mental strain by focusing on how users learn, process and retain information. The CLT identifies three types of cognitive load and offers insights into how Procurement Systems can be optimised for usability: 1️⃣ 𝗜𝗻𝘁𝗿𝗶𝗻𝘀𝗶𝗰 𝗟𝗼𝗮𝗱 which arises from the inherent complexity of the task or information. In Procurement, examples include multi-dimensional RFP scoring or the authoring of complex contracts and their SLAs. 𝗛𝗼𝘄 𝘁𝗼 𝗵𝗮𝗻𝗱𝗹𝗲 𝘁𝗵𝗶𝘀? Break down and simplify complex tasks into manageable steps using modular workflows, and provide pre-configured templates for common scenarios. 2️⃣ 𝗘𝘅𝘁𝗿𝗮𝗻𝗲𝗼𝘂𝘀 𝗟𝗼𝗮𝗱 stemming from poor system design, irrelevant information or inefficient processes. For example, clunky interfaces, unnecessary workflow steps or dashboards that hide insights under excessive detail. 𝗛𝗼𝘄 𝘁𝗼 𝘀𝗼𝗹𝘃𝗲 𝘁𝗵𝗶𝘀? Minimise Extraneous Load with a functional user interface design, using smart visualisations and streamlining workflows. 3️⃣ 𝗚𝗲𝗿𝗺𝗮𝗻𝗲 𝗟𝗼𝗮𝗱 resulting from the cognitive effort that directly supports learning and mastery. Examples include tooltips, clear guidance, and onboarding processes that make systems easier to navigate. 𝗛𝗼𝘄 𝘁𝗼 𝘀𝘂𝗽𝗽𝗼𝗿𝘁 𝘁𝗵𝗶𝘀? Enhance Germane Load with role-specific training, embedded tool tips & intuitive help features accelerating user learning. All three types can lead to a reduced capacity of employees to be able to operate effectively and potential negative consequences and mental stress. 𝗖𝗼𝗴𝗻𝗶𝘁𝗶𝘃𝗲 𝗼𝘃𝗲𝗿𝗹𝗼𝗮𝗱 𝗰𝗼𝗺𝗲𝘀 𝗮𝘁 𝗮 𝗵𝗶𝗴𝗵 𝗽𝗿𝗶𝗰𝗲. 𝗦𝗼𝗹𝘂𝘁𝗶𝗼𝗻𝘀 𝘄𝗵𝗶𝗰𝗵 𝗰𝗼𝗻𝘀𝗶𝗱𝗲𝗿 𝗮 𝗵𝘂𝗺𝗮𝗻-𝗰𝗲𝗻𝘁𝗿𝗶𝗰 𝗱𝗲𝘀𝗶𝗴𝗻 and optimise their cognitive load levels by unveiling tasks step by-step, simplifying design and providing helpful learning features, 𝗵𝗮𝘃𝗲 𝗮 𝗵𝗶𝗴𝗵𝗲𝗿 𝗰𝗵𝗮𝗻𝗰𝗲 𝘁𝗼 𝘁𝘂𝗿𝗻 𝗳𝗿𝗼𝗺 𝗮 𝗵𝗲𝗮𝗱𝗮𝗰𝗵𝗲 𝘁𝗼 𝗮 𝗽𝗿𝗼𝗱𝘂𝗰𝘁𝗶𝘃𝗶𝘁𝘆 𝗯𝗼𝗼𝘀𝘁𝗲𝗿. ❓How do you think can solutions be humanised to reduce cognitive load. ❓What else helps to generate a good usability and user experience.

Focus isn’t broken. The way we design work is. We ran a poll on attention blockers. The results were telling: • Constant digital distractions: 33% • Task switching and multitasking: 29% • Mental overload: 22% • Lack of clear priorities: 17% Nearly two-thirds of people are struggling with the same underlying issue: Work environments that overload the brain’s attention systems. From a neuroscience perspective, this is predictable. The brain is not built to juggle competing demands in parallel. Every interruption forces the prefrontal cortex to drop context, rebuild it, and expend metabolic energy in the process. Over time, this shows up as fatigue, slower thinking, and reduced quality, not poor motivation. What actually helps, based on how the brain works: • Cap inputs at the system level. Turn off non-essential notifications. Close email and chat outside defined windows. Limit active tasks to one priority plus one secondary task. Focus fails when inputs are unlimited. • Sequence work deliberately. Block time for one cognitive mode at a time. Do not mix deep thinking, decisions, and reactive tasks. Task switching drains energy and increases error. • Define work with clear edges. Start with a specific outcome. End when that outcome is reached. Completion stabilises dopamine and makes it easier for the brain to re-engage next time. • Design for attention rather than demanding it. Protect uninterrupted time. Reduce urgency theatre. Stop rewarding constant availability. Attention improves when the environment supports it. This is not about trying harder or being more disciplined. It is about aligning work design with how the human brain actually functions. That is where sustainable performance comes from. #NeuroscienceAtWork #Focus #Leadership #CognitivePerformance #BrainBasedLeadership #SynapticPotential