Visual Content Creation Tools

🍱 How To Organize Your Design System At Scale (https://lnkd.in/e9343uqv), a fantastic case study on how to set up a design system with 900 shared components and 25 designers — with product-specific domain components and shared ownership between the design system guild and product designers. Written by Jérôme Benoit ↓ Key takeaways: ✅ 1 design system, 8 design libraries, 1 library serves 1 goal. ✅ Each library has owners, editors (edit/publish), users (view-only). ✅ All designers have access to all resources from all files. ✅ Product team has domains, each domain has feature teams. ✅ Foundations + Core components are owned by design system team. ✅ Domain components are product-specific, owned by product designers. ✅ Each feature team has its own frame (not a page!) on a Domain page. ✅ Domain components are structured [Instance name] 💠 [Core name]. ✅ The work by product teams can move up to the Core level, too. In many products, different feature teams often have very different needs, and that’s why secondary design systems emerge. With this set-up, all teams are still working within 1 single design system, pulling and pushing components between levels and having search across all design work in all domains at once — without an organizational overhead! 👏🏼👏🏽👏🏾 Useful resources: How To Organize 1250+ Design Screens in Figma (+ File examples), by Lorenzo Palacios Venin https://lnkd.in/e7X4fKcj Booking.com: Multi-Platform Design System (+ Figma), by Nicole Saidy https://lnkd.in/edueYQPG Frog: Building A Global Design System, by Anthony Nguyen https://lnkd.in/etkiTxfB Doctolib Figma Files Organization Tips, by Jérôme Benoit https://lnkd.in/eK7bhQeS Multi-Brand Design System, by Pavel Kiselev https://lnkd.in/eShgnPnW Design System Structure for Teams, Projects and Files, by Luis Ouriach https://lnkd.in/eFZUjUCU How to Organize Your Figma Files For Design System, by Jules Mahé https://lnkd.in/eeHG2VzU Organizing Design System For Scalability, by Allie Paschal https://lnkd.in/eeAtakGs Design That Scales (Book), by Dan Mall https://lnkd.in/eeFrqFfP And kudos to the wonderful design team at Doctolib and all the wonderful designers above for sharing their insights for everyone to learn from!👏🏼👏🏽👏🏾 #ux #design #designsystems

How do you bring GIS, BIM, and CAD data into a single usable system? We know the real power lies beyond visualisation. We talk constantly about integrating diverse datasets to build powerful digital twins. One indispensable tool in the expert's kit is FME - Feature Manipulation Engine. Think of it as the universal transformation powerhouse for spatial data. FME shines at the critical ETL. The Extract, Transform and Load stage. 1️⃣It extracts data from hundreds of formats like Esri Geodatabases, Revit via IFC, AutoCAD, point clouds, databases or APIs. 2️⃣It transforms that data into a unifying Coordinate Reference System (CRS), simplifying complex geometries for real-time performance and mapping attributes. 3️⃣It loads the results into engine-ready formats like FBX or glTF, or platforms like Unreal Engine and Unity. Mastering data integration is fundamental for intelligent digital twins 🌍 Make FME your data conversion "Swiss Army Knife". If you find this helpful... ----------- Follow Me for #digitaltwins Links in My Profile Florian Huemer

❌ Forget Reach. ✔️ Think Engagement.   I no longer take much notice of impression counts on my LinkedIn™ posts. Instead, I focus on engagement – the number of people who have reacted to, commented on or reposted my posts.   Why?   Because the number of feeds my posts are dropped into gives me little useful information.   But the engagement rate does. It tells me what percentage of those who saw my posts responded in some way, took some kind of action.   And that’s where the gold is!   🔷 Those numbers – and the people behind them – tell me who is interested in the information I’m sharing. 🔷 Those people might make good additions to my network if they’re not already part of it. 🔷 They might make ideal ‘associates’ as I heard Mark Williams describe it in an interview with Tony Restell last week. (An example of an associate is my relationship with Gina Balarin (CPM FAMI FCIM), the CEO’s Voice. We share the similar target customers but provide different services. Supporting each other widens both our circles of influence.) 🔷 They might be potential clients. 🔷 They could even become colleagues and close friends.   In the past 3 months engagement on my content has risen significantly. (The formula for this is the total number of reactions, reposts and comments on a post divided by the number of impressions.)   The increase over the previous 90 days is 32.2%. Meanwhile impressions are up a miserly 1.6% (no surprise there).   The content formats achieving the highest engagement are LinkedIn events and video posts.     But what unequivocally does best are posts involving others. Posts ABOUT others always do well. Posts TAGGING others in the text do well if those others respond.   Here’s an example of the impact that external interaction on content can have: our recent LinkedIn live with the Queen of Livestreaming, Gillian Whitney generated a 49.1% engagement rate. Why? Because after the event Gillian responded personally to every single comment. There are now well over 200 comments.  (Don’t forget events stay in our Activity section so remain visible long after other posts might have disappeared.)   Engagement rate is now our most important metric and one we’ll be keeping a close eye on for its potential to provide an ongoing source of interested and responsive additions to our network. Because this is where the gold is!   🔷🔷🔷🔷🔷   Looking to upgrade your LinkedIn knowledge? Check out linkability[.]biz for dozens of hours of content on how to leverage LinkedIn to achieve your professional goals.   Got something to add? 🔷 COMMENT 🔷 Would others find it useful? 🔷 REPOST 🔷 Want to see more like this? 🔷 🔔 🔷 Plan to refer back to this? 🔷 SAVE 🔷 Think I know my stuff? 🔷 ENDORSE 🔷   📌📌📌 Tip of the day – keeping your own set of post metrics (a simple spreadsheet is all you need) allows you to compare individual posts more closely than you can from your profile analytics.  

Your LinkedIn posts are doing more than getting likes, and now you can prove it. LinkedIn rolled out new post-level analytics to help you understand what your content is really driving. Here's what is new: 👁️ Profile viewers from this post: How many people visited your profile after seeing your post. 🌱 Followers gained from this post: How many new followers came from the post. 🎯 Link engagement (Premium users only): How many times your CTA button was clicked from the post. These new metrics are a win for creators and marketers. Now you can connect your content to real outcomes like profile visits, follower growth, and traffic to your links, whether that be your website, product page, scheduling link or newsletter. By spotting trends in what content is driving certain actions, whether it’s the type of content format, topic, or more, you can optimize future posts around your desired outcomes. This builds on LinkedIn’s Average Watch Time metric for video posts and advances their push to provide more robust analytics, helping creators and brands better understand the true impact of their content. For more social media and creator economy news with actionable insights, join my free newsletter (via the button under my name).

3D Meets AI in store! By far the Most Practical use of GenAI for Smarter sales and marketing in 2025. 🏆 One thing I always say is that 'Give your customers a great experience'. When customers have a great experience, they are more likely to buy your product, become loyal, and recommend it to others. This is exactly what Orient Bell did. One of the biggest challenges that buyers of every Home decor/ tile company faces is ‘How will this product look in my space?’ Here's how they solved it: Instead of offering the same 2D Brochures/ catalogues to showcase their tile designs, they took things to the next level. An AI Visualization Tool that allows you to see the design/patterns with the tiles you pick right into your space. How? Just by speaking the tile name and space specs to a device. Not only this, the AI can even recognize tile names and even recommend design combos to you! Excellent use case for every tile/ Home decor company. It genuinely reflects how Immersive tech + AI is creating the New Experience Economy. ✨ Incredible work by Team Madhur Daga Sir & Mahendra K Daga Sir, and the entire team at OrientBell. 🙏 What can we learn from this ? 📩 AI when applied meaningfully can help us solve our business problems and ensure 100% sales success. The key here is to identify the pain points/goals and align them with the right AI Tool and there we go! Thought Leadership: Karthik Krishnananda Simpolo Tiles & Bathware KAPIL DEV SAINI from Kajaria Ceramics Rohit Nagpal 🌏 - MYK Laticrete Piyush Doshi - ceramic tile marketing Akanksha Sharma Kohler India Anshuman Chakravarty from Somany ceramics Deepankar Mukherjee RAK Ceramics #sales #btlmarketing #exhibitions #retail #events #realestate ¡El 3D se une a la IA en la tienda! Sin duda, el uso más práctico de GenAI para unas ventas y un marketing más inteligentes en 2025. Siempre digo que es fundamental ofrecer a los clientes una gran experiencia. Cuando los clientes tienen una buena experiencia, es más probable que compren tu producto, se fidelicen y lo recomienden. Esto es exactamente lo que hizo OrientBell. Uno de los mayores retos que enfrentan los compradores de cualquier empresa de decoración del hogar y azulejos es preguntarse: "¿Cómo quedará este producto en mi espacio?". En lugar de ofrecer los mismos folletos y catálogos 2D para mostrar sus diseños de azulejos, llevaron las cosas al siguiente nivel. Una herramienta de visualización con IA permite ver el diseño y los patrones de los azulejos que elijas directamente en tu espacio. ¿Cómo? Simplemente diciendo el nombre del azulejo y las especificaciones del espacio. Interesante, ¿verdad? Un excelente caso de uso para cualquier empresa de azulejos y decoración del hogar. Refleja cómo la tecnología inmersiva y la IA están creando la nueva Economía de la Experiencia. ✨ ¿Qué podemos aprender de esto?

When I started out, one of the biggest struggles - Finding good resources for my designs. 🚫 Not the random Pinterest kind. ✅ The kind that actually helps you move forward in the design process. I spent days (sometimes weeks) looking for the perfect drawing reference or a reliable map source. Then came the harder part - organising all of it. It felt like each new project demanded a fresh hunt from scratch. And if you’re a student or young designer, you know exactly what I mean. That’s why I created something I wish I had back then - 📚 A free architecture “Resource Library” with everything in one place. It includes- ➡️ Visual reference boards for diagrams, plans, and sections ➡️ Tools and platforms to elevate your design presentations ➡️ Site analysis tools and online map sources more! These are the same links I use in my own projects. They’ll save you time, reduce overwhelm, and bring clarity to your process. You’ll find the link in the comments - go ahead and bookmark it. P.S. What’s one underrated resource you swear by? I’d love to add it in. 👇 ___ 👋 Hey, I’m Vishakha Tiwari, an urban designer, a visual communication designer and the founder of Architecture Candy. If you liked reading this post, make sure to follow me and share your thoughts in the comments below! 💬✨

Analytics aren’t just numbers; they’re your roadmap to publishing growth. Data isn’t power, it’s potential. For publishers, the real value lies in transforming raw metrics into repeatable growth strategies that drive audience retention, revenue, and #SEO performance. Too often, publishers collect vast amounts of data but fail to extract meaningful takeaways. The key is understanding what content resonates, how audiences engage, and where opportunities for growth exist. Collecting data is easy; extracting insights is not. Without clarity, metrics like pageviews and bounce rates become distractions. For example, a 40% drop in returning visitors isn’t just a traffic issue—it’s a retention red flag. By using the right tools and refining strategies based on real data, you can turn numbers into growth. Here are actionable strategies to turn data into action: 1. Know Your Audience Beyond Pageviews Pageviews alone don’t tell the full story. Instead, track return visitors, time on page, and scroll depth to measure true engagement. Tools like Google Analytics 4 (GA4) and Parse.ly provide deeper insights. Cohort analysis can reveal trends, millennials may prefer video, while Gen X engages more with newsletters. For example, if mobile traffic spikes by 20% after 8 PM, push breaking news via mobile notifications to capture that audience in real-time. 2. Optimise Content Performance with Behavioural Data Understanding why some content performs well helps you replicate success. Use @Google Search Console and Semrush to analyse search visibility and Hotjar Digital Marketing Company to track user interactions. For example, if "AI in media" gets 3x more shares than "content trends," double down on AI-related content. Additionally, A/B test headlines (e.g., “5 Growth Hacks” vs. “Proven Tactics”) to see what improves click-through rates. 3. Track Conversions, Not Just Traffic Traffic alone doesn’t guarantee success—conversions do. Set up goals in GA4 to measure newsletter sign-ups, paid subscriptions, or product purchases. Identify which referral sources drive the highest conversion rates, and adjust your strategy accordingly. For example, premium subscribers from "how-to guides" tend to have a 15% higher lifetime value than general news readers, meaning content type matters when driving long-term revenue. To scale what works, automate reporting with Power BI Visualization or Looker Studio to save 10+ hours per month. Analytics only matter when they drive actions. The biggest mistake any publishers can make is to treat data as a report card instead of a playbook. Start by auditing one content category this week, setting up a conversion goal in GA4, and A/B testing a headline. Data doesn’t lie, but it won’t work unless you do something. What analytics tools are you using to grow your publishing efforts? Share your go-to platforms in the comment below. #DigitalPublishing #SEO #ContentStrategy #AudienceGrowth #DataAnalytics

Clara Khoo created an entire slide deck (with AI tools) today on Conflict Led by Historical Factors—even with our kids providing their usual lively soundtrack in the background! Instead of spending the usual 2–3 hours manually building slides, she streamlined the process using AI tools. These are the steps: 1. Set clear learning objectives: ensuring the content would be engaging and age-appropriate. 2. Used ChatGPT for Prompt Crafting: Generated a detailed prompt based on the content, audience, and learning outcomes, structured into eight clear slides (cards). 3. Gamma.app: Used the prompt to instantly create visually appealing slides. The first draft was ready in just 10 minutes, and probably needs just another 30 minutes or so of edits to refine style and accuracy. AI tools like ChatGPT and Gamma.app really help us reclaim time for more meaningful work (or managing the kids)! How are you using AI to streamline your day-to-day tasks?

Design systems are gradually moving away from a single, monolithic, centralized libraries of every thing in one place managed by one team. Since then, library quantity is exploding. Before, the Figma assets panel exposed one or a few libraries managed by a design system team. Now, it overflows with 10s or 100s to choose from. Two types are most common: dependable core libraries from a system team or irrelevant or less predictable assets from other teams you don’t know. However, there’s a third type: libraries by contributors intentionally shared with everyone under the auspices of the design system. I refer to these as shared libraries. This article explores shared libraries: what they are, why and when they emerge, and where to put them. As shared libraries extend a system, the system must set expectations, model how they work, and help with curation. This article aims to inspire thoughts of roles, tasks, and the library life cycle and offer ideas for workshops to get your team started. https://lnkd.in/gHVf3xsJ

 Inside YouTube’s Scalable System Design! YouTube isn’t just a video-sharing platform—it’s a powerhouse of AI, machine learning, content delivery networks, and real-time data processing, all working together to provide a seamless experience for billions of users worldwide. But how does it all come together? Let’s break it down! Key Components of YouTube's System Architecture: 🔹 Security & Compliance – YouTube ensures copyright protection using Content ID & DMCA systems, automatically detecting and flagging potential copyright violations. Additionally, a moderation and flagging system helps maintain a safe environment by filtering harmful content. 🔹 Monetization Engine – Revenue is generated through Google Ads and YouTube Premium subscriptions. The ads system intelligently targets users, while a revenue-sharing model ensures content creators are rewarded for their work. 🔹 User Interaction & Engagement – Every user interaction—searching, watching, liking, commenting, and subscribing—feeds into YouTube’s engagement and notification system, ensuring users stay connected to their favorite creators and content. 🔹 Recommendation System – YouTube’s recommendation engine is powered by machine learning models analyzing user behavior. Data is stored, processed, and fed into AI-driven algorithms that provide hyper-personalized video suggestions, ensuring viewers keep coming back for more. 🔹 Video Processing & Delivery – From upload to playback, YouTube handles massive amounts of video data. The encoding pipeline transcodes videos, enabling adaptive bitrate streaming for smooth playback across all devices. A global content delivery network (CDN) and edge servers cache videos to reduce latency and provide a buffer-free experience. 🔹 Traffic Management & Scalability – YouTube’s infrastructure relies on load balancing, edge servers, and a robust traffic management layer to handle billions of requests daily, ensuring high availability and minimal downtime. The Power of AI, Scalability & Cloud Computing YouTube is a testament to the power of distributed systems, big data, AI-driven personalization, and real-time content delivery. With billions of active users and petabytes of video data processed daily, YouTube’s architecture is one of the most scalable, resilient, and intelligent systems ever built.