Landing Page Design Tips

🪴 Designer’s Guide To Redesign, Step-By-Step. Useful guidelines on when and how to redesign, how to avoid pitfalls and how to make users fall in love with the new design ↓ 🚫 Avoid big-bang redesigns unless absolutely necessary. ✅ Big improvements come from cleaning up, not building up. ✅ Always prefer incremental changes over a major overhaul. ✅ Build on top of already existing usage/behavior patterns. ✅ Keep the old way of working first, and transition slowly. 🚫 Don't start from scratch: deconstruct what you have. ✅ Build a shared understanding of what your goals are. ✅ Look for patterns/flows that users rely on frequently. ✅ Map them in the new design to avoid breaking changes. ✅ Give an option to try a new design, restore the old one. 🚫 Don’t pack a lot of sudden changes in all at once. ✅ Users accept changes if they see value in them. ✅ Highlight and explain changes to returning users. ✅ Explain to users how the change actually helps them. ✅ Prepare your customer service way ahead of time. Personally, I always try to avoid redesign projects whenever possible. They are extremely costly, complex and time-consuming ventures — and too often without valuable outcome for end users. Instead, we need to seek where we can increase the value and apply our design efforts to that area. As Jared Spool argues, we often think that users don’t like change. Yet users go through small and big changes all day long. What users don’t like are breaking changes. Sudden interruptions. Blockers. Bad surprises. Changes that they don’t understand and can’t see any value in. That’s what we need to avoid. You might not need a redesign. You might need to revamp email newsletters. Or improve your product pages. Or optimize for repeat business. Or address a new market. Or better cater to older audiences. Or just invest in a better search. These are typically much more urgent issues that everybody will benefit from. But if you do, break up changes in small increments and roll out gradually. But: don't ask for opinions. Ask if people in the room agree with the direction the new design is taking, and if not, why not. Good redesigns are evolutions, not revolutions. Refine slowly as you go, and you’ll be surprised that users might not even notice that you’ve redesigned at all. Useful resources: How To Redesign, A Step-By-Step Guide, by Taras Bakusevych https://lnkd.in/dgKeQGn7 Users Don’t Hate Change, But Our Design Choices, by Jared Spool https://lnkd.in/eXmQBGR2 How to Redesign, The Right Way, by Paul Boag https://lnkd.in/eGbYYiCS How To Run A UX Redesign Workshop, by Sarah Jee Watson https://lnkd.in/eGi2uXrV Designer’s Guide To Redesign, Step-By-Step, by yours truly https://lnkd.in/e8fXxCdV #ux #design

💡Responsive grid system (+ tutorial & tools) Practical recommendations for UI designers & front-end developers for creating effective responsive grid systems: ✔ Define breakpoints Breakpoint is a specific screen size at which a UI layout adapts to provide an optimal viewing experience. Set breakpoints for common screen sizes (e.g., mobile, tablet, desktop). You can use breakpoints from Bootstrap as a reference (576px for mobile, 768px for tablet, 992px for desktop, and 1200px for large display) and adapt this system based on your specific audience & device usage analytics. Try to set breakpoints based on your content rather than specific device sizes. ✔ Set up a column grid Column grid organizes content vertically into columns. It’s primarily used to manage the layout of blocks of content and align elements horizontally. Decide on the type of grid based on the device and content. For example, a 12-column grid is standard for web design, 4-column grid works well for tablet, and 2 or single-column grid for mobile. ✔ Define margins and gutters. Margins are the space around the grid, and gutters are the space between columns. They help maintain whitespace and prevent clutter. Use consistent gutters for all mediums. ✔ Design for the smallest screen first, then scale up Designing for the smallest screen first, also known as the mobile-first approach, will maximize the chances that your UI will be both functional and aesthetically pleasing on all devices. By following a mobile-first approach, you will prioritize the content and functional elements of your solution. ✔ Scale consistently Use a consistent scale for spacing, such as 8pt grid system, to maintain uniformity across different viewports. ✔ Use fluid layouts with percentages When developing your UI, try to avoid using fixed widths. Instead, use relative units like %, vw (viewport width), or vh (viewport height). Using percentages for widths will ensure elements resize with the viewport. ✔ Use responsive units for fonts Use REM for font sizes to ensure scalability and EM for padding and margins to maintain proportionality. ✔ Use flexible images and media Consider using the srcset attribute for images to serve different sizes based on the device. Set images and videos to be responsive using max-width: 100%; and height auto. ✔ Content hierarchy Ensure the most important content is prominently displayed and easy to access on all screen sizes. Use size and scale—larger elements tend to draw more attention (i.e., use larger fonts for headings and smaller fonts for body text). Also, use the grid to strategically position important content. Elements placed higher on the page or in the center tend to be noticed first. 📺 How to design grid system in Figma: https://lnkd.in/dTPEpvRK ⚒️ Tools ✔ Interactive CSS Grid Generator https://grid.layoutit.com/ ✔ Mobile Screen Sizes: Repository of screen sizes and technical details for Apple devices https://screensizes.app/ #UI #design

Have you ever spent endless hours on a project just to end up realising that a more straightforward method would have been more effective? This common mistake, referred to as over-engineering, can cause needless complexity and inefficiency when developing new products. Understanding Over-engineering > Over-engineering happens when a solution gets more difficult than it needs to be, usually by adding features or functionalities that do not directly meet the needs of customers. > This can lead to higher costs, longer development cycles, and less user-friendly products. Real-World Example: The Juicero The Juicero, a high-tech juicing machine, was released in 2016. It cost $700 and was designed to squeeze proprietary juice packets with considerable force. Later on, though, it was found that the costly machine was not essential because the same juice bags could be squeezed by hand. The company was eventually shut down as a result of the public outcry following this disclosure. My Own Story: The Overly Complex Website I was in a team early in my career that was assigned with creating a company website. We included the newest interactive elements and design trends in an effort to wow. Feedback received after the launch, however, indicated that visitors found the website overwhelming and challenging to use. In our pursuit of innovation, we had failed to realise the website's main purpose, which is to provide easily comprehensible information. I learnt the importance of simplicity and user-centred design from this experience. Useful Tips to Prevent Over-Engineering 1. Pay attention to the essential needs: Focus on key features that meet user needs and clearly explain the issue you're trying to solve. Don't include features that aren't directly useful. 2. Adopt Incremental Development: Begin with an MVP that satisfies the fundamental specifications. By using this method, you may get user input and decide on new features with knowledge. 3. Put Simplicity First: Use the KISS philosophy, which stands for "Keep It Simple, Stupid." Simpler designs are frequently easier to use and more efficient. 4. Verify Assumptions: Talk to users to learn about their wants and needs. This guarantees that the things you create will actually be useful to them. 5. Promote Open Communication: Create an environment where team members are at ease sharing thoughts and possible difficulties. Over-engineering tendencies can be recognised and avoided with the support of this collaborative environment. Have any of your initiatives involved over-engineering? How did you respond to it? Post your thoughts and experiences in the comments section below!

5-Minute Website Audit: Check Your Mobile Friendliness Why Mobile-Friendliness Matters in SEO With Google’s mobile-first indexing, your site’s mobile version is the main focus for rankings. Mobile-friendliness impacts page speed, user experience, and accessibility, making it crucial for engagement, better rankings, and a broader reach. Using the Mobile-Friendly Test Tool Google’s Mobile-Friendly Test is free and easy to use. By entering your URL, you get a report on mobile usability issues, including text readability, tap target size, page speed, and design responsiveness—all key for mobile interactions. Key Mobile Optimization Concepts -Responsive Design: Adjusts layout to fit all screen sizes, improving accessibility. -Page Load Speed: Faster loading enhances retention and SEO; optimize images, scripts, and servers. -Tap Targets & Navigation: Easy-to-tap buttons and intuitive navigation prevent misclicks. -Text Readability: Fonts should adjust for clarity without needing zoom. -Challenges in Mobile Optimization -Responsive Design Complexity: Converting to responsive design may require significant changes. -Load Speed Optimization: Mobile networks are slower, so optimizing speed is challenging. -Aesthetic vs. Functionality: Balancing visuals with fast performance. -Cross-Device Testing: Testing on multiple devices and browsers is crucial but time-intensive. Running the Mobile-Friendly Test -Visit the Tool: Enter your URL on Google’s Mobile-Friendly Test page. -Run the Test: Click “Test URL.” -Review Results: View mobile-friendliness and address any issues, like small text or crowded elements. Strategies for Mobile Optimization -Responsive Frameworks: Use Bootstrap or Foundation for adaptable layouts. -Image Compression: TinyPNG and similar tools reduce image sizes for faster loads. -Simplified Navigation: Large, clear buttons and straightforward menus. -Prioritize Key Content: Show critical info above the fold for visibility. -Optimized Font & Spacing: Use at least 16px font with ample spacing. Benefits of Mobile Optimization -Higher SEO Rankings: Google rewards mobile-friendly sites. -Better User Experience: Smooth navigation lowers bounce rates. -Higher Conversions: Improved mobile experience encourages actions. -Broader Reach: Mobile optimization expands accessibility. -Competitive Edge: A seamless mobile experience sets you apart. Conclusion Optimizing for mobile is essential. Regularly run Google’s Mobile-Friendly Test to catch issues early and keep your site competitive. NEXT STEPS -Test mobile-friendliness regularly -Implement responsive design for flexibility -Monitor mobile performance. Consider professional audits if challenges persist. #MobileSEO #MobileFriendly #WebsiteOptimization

Target a pain point, not a persona. When you're starting a business, forget about ICPs. The best products almost always start by focusing on a niche problem and solving that better than anyone or anything else. Targeting personas puts you in a box. "This is for sales teams of 10+." But what if your perfect customer is a team of 9? Or a solo entrepreneur? Pain points don't care about arbitrary boundaries. They're universal. For example at Gamma, we didn't set out to serve agencies or SaaS teams. We looked for people who hate formatting slides but still value the effectiveness of communicating in PowerPoint. That pain point is way more widespread — but still targeted. By focusing on the problem, not the person, we’ve opened up a world of possibilities. Here's the secret I wish I knew early on as a founder: Start with one corner of the problem. Solve it well, then expand. It's like a puzzle — you don't try to fit all the pieces at once. You start with the edges, then work your way in. Your initial solution might resonate with unexpected audiences. Let it. That's how you discover new opportunities. Don't limit your potential customers, limit the scope of your solution. As you grow, you can tackle more corners of the problem. Your "box" naturally expands — and on your terms. Based on real user needs, not predetermined categories.

🔑 Trust at Work: A Framework, Not a Gamble As founders, we often struggle with trust. Even when someone is smart, says all the right things, and delivers well, there’s still that inner fear: “Can I truly rely on them?” Over time, I’ve realised trust doesn’t have to be all-or-nothing. It can be structured. Here’s how I approach it: 🌱 Three Levels of Trust 1️⃣ Task Trust (Baseline) - Small, clear deliverables. 2️⃣ Ownership Trust (Conditional) - Larger areas with milestones and reviews. 3️⃣ Strategic Trust (Earned) - Core responsibilities with minimal oversight. No one starts at Level 3. Trust is graduated, earned step by step. ⚙️ The Trust Contract Crystal-clear expectations Transparent accountability (dashboards, reviews) Shared understanding of what “trust” means in each role 🚦 Trust Signals Green flags: consistency, proactive updates, no surprises Red flags: missed deadlines without explanation, hiding bad news Instead of distrusting by default, respond to the signals. 🏗️ Building on Principles & Foundations Building a business with strong principles and a solid foundation seems difficult in today’s world. But if you design trust this way - structured, earned, and transparent - you protect the downside, reward consistency, and create a culture where truth travels fast. Do this well, and you’ll build a much stronger business that doesn’t just grow in the short term, but flourishes for the long term. 👉 Do you design trust in your organisation, or rely on instinct alone?

LinkedIn 𝐢𝐬 𝐪𝐮𝐢𝐞𝐭𝐥𝐲 𝐫𝐞𝐝𝐞𝐬𝐢𝐠𝐧𝐢𝐧𝐠 𝐡𝐨𝐰 𝐩𝐫𝐨𝐟𝐞𝐬𝐬𝐢𝐨𝐧𝐚𝐥 𝐭𝐫𝐮𝐬𝐭 𝐢𝐬 𝐞𝐚𝐫𝐧𝐞𝐝. This is no longer just a content platform. It is becoming a 𝐭𝐫𝐮𝐬𝐭 𝐢𝐧𝐟𝐫𝐚𝐬𝐭𝐫𝐮𝐜𝐭𝐮𝐫𝐞. Over the past two years, something structural has shifted. Reach still matters. But credibility signals now carry more weight. Verified profiles are seeing materially higher profile discovery and engagement. That is not a cosmetic feature. It is platform direction. Why does this matter? Because opportunity now flows through perception. Recruiters, founders, collaborators and clients are making faster decisions based on visible signals. Your profile is no longer a resume. It is a credibility dashboard. 𝐕𝐞𝐫𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧 𝐬𝐢𝐠𝐧𝐚𝐥𝐬 𝐚𝐮𝐭𝐡𝐞𝐧𝐭𝐢𝐜𝐢𝐭𝐲. 𝐂𝐨𝐧𝐬𝐢𝐬𝐭𝐞𝐧𝐜𝐲 𝐬𝐢𝐠𝐧𝐚𝐥𝐬 𝐬𝐭𝐚𝐛𝐢𝐥𝐢𝐭𝐲. 𝐄𝐧𝐠𝐚𝐠𝐞𝐦𝐞𝐧𝐭 𝐝𝐞𝐩𝐭𝐡 𝐬𝐢𝐠𝐧𝐚𝐥𝐬 𝐢𝐧𝐟𝐥𝐮𝐞𝐧𝐜𝐞. 𝐁𝐞𝐡𝐚𝐯𝐢𝐨𝐫 𝐬𝐢𝐠𝐧𝐚𝐥𝐬 𝐦𝐚𝐭𝐮𝐫𝐢𝐭𝐲. And these signals compound. Early in my journey, I optimized for impressions. Some posts performed extremely well. The numbers were strong. But when I reviewed the conversations they generated, many lacked depth. Visibility was increasing. Trust was not. The shift happened when I started prioritizing engagement depth over reaction volume. I focused on thoughtful posts. I responded deliberately in comments. I aligned my positioning consistently. 𝐆𝐫𝐨𝐰𝐭𝐡 𝐬𝐥𝐨𝐰𝐞𝐝 𝐚𝐭 𝐭𝐢𝐦𝐞𝐬. 𝐎𝐩𝐩𝐨𝐫𝐭𝐮𝐧𝐢𝐭𝐲 𝐢𝐧𝐜𝐫𝐞𝐚𝐬𝐞𝐝. That is when I understood the architecture. LinkedIn is increasingly behavioral. Who you engage with, how you respond, whether you add clarity or noise, these patterns shape long term authority. Trust on LinkedIn is becoming algorithmically reinforced. Most professionals are still optimizing for visibility. The platform is structurally optimizing for credibility. Trust takes longer to build. But once built, it compounds faster than reach. The future of LinkedIn growth will not belong to the loudest profiles. It will belong to the 𝐦𝐨𝐬𝐭 𝐜𝐨𝐡𝐞𝐫𝐞𝐧𝐭, 𝐜𝐨𝐧𝐬𝐢𝐬𝐭𝐞𝐧𝐭 𝐚𝐧𝐝 𝐜𝐫𝐞𝐝𝐢𝐛𝐥𝐞 𝐨𝐧𝐞𝐬. Are you building reach, or are you intentionally building trust architecture? LinkedIn News India LinkedIn News LinkedIn Guide to Creating #PersonalBranding #ThoughtLeadership #FutureOfWork

Google Gemini’s deeper AI Overviews integration is more than a tech upgrade. Because it’s changing how B2B buyers discover and evaluate brands. As AI summarizes answers directly in search results, decision-makers spend less time clicking through multiple pages. This means fewer lead opportunities on traditional websites. But more importance in owning authority within AI-generated insights. For marketers, this signals a shift from chasing clicks to building trust signals that AI systems recognize & prioritize. Your brand’s visibility now depends on being an indispensable, credible source cited within AI summaries. The question: How do you build pipeline influence when prospects may never visit your site? The answer: Optimize content for AI understanding, ensure data credibility, and align messaging to answer buyer intent precisely. So AI systems highlight your brand as the go-to expert. The evolving landscape is so fast. Is B2B marketing about driving traffic alone now? No, it’s about owning presence inside the AI-powered customer journey. How is your brand coping with this shift?

Where is the Pain? Ever been to a doctor who just starts poking you everywhere, asking, "Does this hurt? How about this? And this?" It's like they're playing a game of "Where's Waldo" with your pain. Annoying, right? Now, imagine the AI industry doing the same thing. "Hey, we've got AI! It can do this, that, and the other thing! Anything hitting a nerve yet? No? Let's keep going!" It could be called the "AI Vomit Approach." Just throw everything out there and hope something sticks. But here's the thing: a good doctor starts with a simple, crucial question – "Where is the pain?" In the medical world, a prescription without a diagnosis is malpractice. Shouldn't we hold the AI industry (or any industry, really) to the same standard? Throwing features at a problem without understanding the actual pain point is just as bad as a doctor handing out random pills without knowing what's wrong. Let's get real for a moment. Imagine you're an AI company pitching to a retail chain. You go on and on about how your AI can optimize inventory, predict trends, personalize marketing, and even make coffee. But the retailer's biggest pain point is actually managing their supply chain delays. All your fancy features are impressive, but they don't address the retailer's immediate need. It's like offering a band-aid for a broken leg. Or picture a software vendor meeting with a financial institution. You rave about your software's incredible data visualization capabilities, advanced analytics, and real-time reporting. But the bank's main issue is fraud detection. Your pitch, as dazzling as it is, misses the mark completely. This isn't just an AI problem; it's a universal business problem. Solution providers in every industry need to start by asking, "Where is the pain?" Understand the specific challenges your client is facing before you start pitching your solutions. In my years in the AI space, I've seen it all. The most successful projects always start with a deep dive into the client's unique pain points. It's about diagnosing before prescribing. It's about listening before speaking. It's about solving real problems, not just showcasing flashy features. So, let's pledge to stop the malpractice. Let's ask the right questions, understand the real issues, and deliver solutions that actually alleviate the pain. Your clients (and their nerves) will thank you. #AI #Strategy #ClientFirst #StopTheMalpractice #TechHumor #BusinessInsight #ProblemSolving

The best AI companies aren't built on algorithms. They're built on agony. I used to believe otherwise. As a technical founder, I thought superior AI capabilities would naturally find their market. Two ventures and countless customer conversations later, I learned a hard truth: technical brilliance without pain recognition leads nowhere. The pattern is unmistakable. The B2B AI companies that scale are NOT those with the most advanced models. They were the ones that could articulate a specific, burning pain point with crystal clarity. This realization transformed our approach: → Instead of starting with model architecture, we documented specific workflows where people visibly winced. → Rather than pitching capabilities, we reflected customers' frustrations back to them in their own language. → We measured our initial success not by technical benchmarks but by how often prospects said "that's exactly our problem." Your GTM efficiency is determined before you write a single line of code—it's set by how clearly you've defined the problem. When your problem statement resonates: → Sales cycles shorten dramatically → Marketing speaks directly to real pain rather than hypothetical benefits → Product development has clear priorities based on pain severity → Customer conversations shift from "convince me" to "show me how" → Pricing discussions center on value rather than cost In B2B AI, your unfair advantage isn't your technology—it's the clarity with which you describe the pain you eliminate. The irony? The more precisely you define the problem, the more focused and effective your technical solution becomes. Starting with pain creates better technology, not despite technical considerations, but because of them. AI entrepreneurship is fundamentally about translating human pain into computational solutions. The algorithms are just the means. The end is always human relief. #startups #founders #growth #ai