Knowledge Management Practices

Why Most IT Service Desks Fail at Knowledge Management (And How to Make It Work) Your IT team has a knowledge base. But does anyone actually use it? The Problem Most IT service desks treat knowledge management like a one-time project. They build a wiki, dump a few outdated articles into it, and hope for the best. The result? A ghost town of forgotten documentation while techs keep solving the same issues from scratch. How to Make It Work 1. Make Knowledge Management a Habit Why it matters: If updating documentation isn’t part of daily workflows, it won’t happen. Here’s how: ↳ Require techs to update or verify articles when resolving tickets. ↳ Set clear ownership for maintaining knowledge content. ↳ Make it a KPI—if it’s not measured, it won’t improve. 2. Stop Overcomplicating Articles Why it matters: Nobody wants to read a novel to reset a password. Here’s how: ↳ Keep articles short and to the point. ↳ Use step-by-step formats with clear headings. ↳ Add images, GIFs, or short videos for clarity. 3. Kill the Junk Articles Why it matters: Old, inaccurate, or duplicate articles create more problems than they solve. Here’s how: ↳ Regularly audit and remove outdated content. ↳ Set expiration dates on articles that need reviews. ↳ Encourage feedback—if an article doesn’t help, fix or delete it. 4. Make Search Actually Work Why it matters: If techs can’t find the right article in seconds, they won’t bother looking. Here’s how: ↳ Use keywords that match what people actually type in. ↳ Structure titles like a Google search (e.g., “How to fix VPN issues”). ↳ Keep the search bar prominent—not buried under 12 clicks. 5. Reward People for Using It Why it matters: People ignore what they don’t see value in. Here’s how: ↳ Recognize techs who contribute high-quality knowledge. ↳ Gamify it—leaderboards, badges, and small incentives work wonders. ↳ Show success metrics (time saved, tickets reduced) to prove impact. A good knowledge base saves time, reduces escalations, and keeps IT from answering the same question 500 times. But only if it’s built right. What’s the worst knowledge base fail you’ve seen? ♻️ Repost to save an IT team from knowledge management nightmares. 🔔 Follow Bob Roark for more ITSM insights.

A few years ago, I stumbled upon the concept of "Building a Second Brain" by Tiago Forte, and it transformed how I manage my personal knowledge. As someone deeply immersed in FP&A and financial modeling, organizing information and insights has always been crucial. However, it wasn't until I adopted this methodology that I truly realized its potential. Tiago Forte’s approach to personal knowledge management (PKM) is about capturing, organizing, and retrieving information efficiently. It’s like having a second brain that holds everything you learn and experience, ready to be accessed whenever needed. For me, this was a game-changer. I chose Notion as my tool for building my second brain. Its flexibility and integration capabilities made it the perfect choice. I can create databases, notes, and projects all in one place, seamlessly linking everything together. This system allows me to manage my professional and personal knowledge in a structured yet intuitive manner. Implementing this methodology has had a profound impact on my life. Here are a few ways it has helped me: ➡️Increased Productivity: With all my information organized, I spend less time searching for what I need and more time actually doing the work. ➡️Better Decision Making: Having a well-structured repository of knowledge means I can make informed decisions quickly. ➡️Continuous Learning: My second brain is a living system that grows with me. Every new piece of information gets captured and connected to existing knowledge, enhancing my learning process. If there’s one piece of advice I can give, it’s to start managing your knowledge as early as possible in your career. Whether you’re a finance professional, a student, or in any other field, having a personal knowledge management system will be invaluable. It’s not just about storing information; it’s about creating a system that supports your growth and productivity. Getting Started 1️⃣ Choose Your Tool: Find a tool that works for you. Notion is my personal favorite, but there are many others like Evernote, Roam Research, or even simple digital notebooks. 2️⃣ Capture Everything: Start by capturing all your thoughts, ideas, notes, and insights. Don’t worry about organizing them perfectly at first. 3️⃣ Organize Regularly: Make it a habit to review and organize your captured information. Create categories, tags, and links to connect related pieces of knowledge. 4️⃣ Review and Reflect: Regularly review your knowledge base. Reflect on what you’ve learned and how it applies to your current projects and goals. Building a second brain has been one of the most rewarding practices I've adopted. It’s not just a system for managing information; it’s a way to enhance your personal and professional life. I'm always open to talk about this, so if you want to know more about how I do it, let me know.

Your Team’s Brain is Leaking. Here’s How to Stop It Your company’s intelligence is leaking every single day. You’re hiring great people, they’re learning on the job, making decisions, solving problems… and then? That knowledge evaporates into thin air the moment they move on, switch roles, or simply forget. Meanwhile, you’re constantly asking, Why are we solving the same problems over and over? The truth is, most organisations treat knowledge like a one-time transaction instead of a strategic asset. → Training programs? Already outdated by the time they’re implemented. → Standard knowledge management? Too rigid. → SOPs? Too static. What we need is 'corporate collective intelligence'. An evolving, self-scaling system that captures, refines, and distributes knowledge seamlessly, so our team gets smarter as it grows. Here’s how you start: - Turn conversations into intelligence. Your best insights happen in Slack threads, meetings, and problem-solving sessions. Capture and refine them as they happen. - Make tacit knowledge explicit. The way your best performers make decisions? That’s gold. Codify it before it disappears. - Use AI and automation wisely. Stop treating AI as a gimmick. It should be actively structuring, indexing, and surfacing knowledge, not just summarising documents. - Create a feedback loop. Your organisation should be learning from itself in real-time. No more one-and-done knowledge drops, continuous refinement is key. → Teams that scale without bottlenecks. → Faster decision-making with fewer mistakes. → Institutional knowledge that doesn’t walk out the door. The companies that master this won’t just scale - they compound. Those that don’t? They will keep reinventing the wheel. Which one do you want to be? Found this useful? Repost ♻️ to help your network.

🔍 Complexity, Humans, and How KM Still Matters: Dave Snowden at KMWorld 2025 Dave Snowden did what only Dave Snowden can do. He opened his session by challenging almost everything said so far, insisting that knowledge cannot be found by searching the written organizational corpus. Once past the opening spark, he guided us through the logic behind the Cynefin Managing Complexity framework. Key messages: 🧩 How humans navigate complexity >> We act through modality, not cause-and-effect. We interpret possibilities, not linear chains. >> We focus on what is near. Distance makes us ignore what may actually matter. >> We notice anomalies first. If nothing stands out, we stop paying attention. >> We reason abductively. We jump to the most plausible explanation, not the statistically perfect one. 🏛️ How organizations could better manage complexity: 1️⃣  Optimize group size. Small groups navigate complexity more effectively than large ones. 2️⃣ Avoid direct attacks on complex problems. Use indirect paths, probes, and subtle interventions to increase the chances of success. 3️⃣ Continuously break silos. Flatten structures and remove unnecessary layers to enable flow and connection. 4️⃣ Bring in newcomers. Fresh eyes reveal what veterans don’t see. Pair them with SMEs to unlock tacit knowledge and unexpected innovation. 5️⃣ Look to the margins, not the center. The edges contain the tensions and insights needed for real learning. 6️⃣ And a crucial reminder: Think, create, and decide in teams. Complex environments are not meant to be navigated alone. 📘 For those who want to explore further, here is a book review on the Cynefin model: https://lnkd.in/dKaMjSsC #KMWorld2025 #Cynefin #Complexity #KnowledgeManagement #Leadership #DecisionMaking #OrganizationalDesign #KMInnovation ROM Global Knowledge Management Global Network Knowledge Summit Dublin

💡 What if the most underused asset in your projects wasn’t budget, but knowledge? I’m sharing a new practical Guide designed to help teams turn learning into a strategic asset across the entire project cycle. While it focuses on IDB-financed projects, I believe professionals working in knowledge management, monitoring and evaluation or project implementation will find valuable concepts and tools they can adapt to their own contexts. Too many project results reports are overly optimistic and treat lessons learned as a box-ticking exercise. This Guide was designed to flip that script and put learning at the center of project effectiveness. Inside, you’ll find a framework to: • Capture tacit and explicit knowledge from design to closure. • Systematically organize and reuse insights across projects. • Link lessons to core processes: programming, monitoring, and evaluation. 👉 Which part of the project cycle do you feel has the most “hidden” knowledge? 📘Read it here: https://lnkd.in/eucpSE9X Inter-American Development Bank Maria Eugenia Roca Luz Angela Garcia David Zepeda, PMP Florencia Baudino Anna Nill

The "P" in Personal Knowledge Management (PKM) is both what makes it so powerful, and also challenging to discuss. Implementation will differ by person, but there are identifiable "styles" to guide your choice of strategy... At the core, the goal of any PKM strategy is to transform the daily deluge of #information into easily accessible and usable knowledge. Specifically, this goal can be broken down into the four "C" objectives: 🔸 Capture - easily and consistently record information, ideas, and insights as they occur     🔸 Curate - organize and structure that captured knowledge to make it fully searchable and easily retrievable     🔸 Connect - identify relationships and make associations between disparate pieces of information to generate new insights     🔸 Communicate - share knowledge to collaborate, learn, and build upon each other’s understanding and insights Needless to say, there are many ways to accomplish these objectives. One strategy is not necessarily better than the other, but will depend on the way in which you conceptualize and process information. Neuroscientist Anne-Laure Le Cunff has developed the following useful archetypes: 🔸The Architect - highly focused on planning and design, their ideal strategy will be one that allows them to organize their ideas precisely and hierarchically 🔸The Gardener - the opposite of the Architect. Focus much more on bottom-up identification of relationships between ideas over time 🔸The Librarian - combines elements of both, with a primary focus on curating a knowledge base closely tied to specific projects, with an emphasis on ease of retrieval Productivity expert Thiago Forte has identified a fourth archetype: 🔸 The Student - novices at #knowledgemanagement, often actual students or those at the beginning of their career. Focus is on short-term tasks, e.g., preparing for an exam Identifying which of these archetypes best describe you is important in that different tools for implementing PKM have very different orientations and strengths, and you will want to choose a tool that is strong in the areas that align w/ how you think about and are most comfortable managing information. Another way to gauge this fit is to look at two different strategic frameworks. The PARA framework, developed by Tiago Forte, provides a well-defined, top down structure comprised of the following components: 🔸 Projects: Time-bound initiatives with specific goals 🔸 Areas: Ongoing responsibilities and roles (usually tied to current job responsibilities) 🔸 Resources: Topics of long-term interest for reference 🔸 Archives: Inactive items from other categories At the other end of the spectrum is the Zettelkasten framework, a bottom-up approach focused on creating densely linked atomic notes, where the organizational structure emerges over time. In the next post in this series, we will look at specific tools for implementing #PKM, corresponding to these different archetypes and frameworks.

If you don’t manage knowledge properly, AI can’t deliver real value. Here’s how to go from beginner to pro in knowledge management: Managing knowledge is just like any other skill. Level 1 systems give level 1 results... And learning how to manage knowledge effectively is a process. Most companies are stuck at level 1, maybe level 2 if they're trying. But the real power of knowledge management lies in levels 3 and 4. That’s when you stop wasting time and start: Harnessing valuable insights at scale Ensuring your data is accessible and actionable Making AI actually work for your business Here are the 4 levels of knowledge management broken down: Level 1: The Collector “Store knowledge in documents and chats.” Goal: Keep everything in one place. Mindset: Gathering data, no structure. This is where most companies stay. They store everything but it’s hard to find or use. How to improve: Organize documents based on themes, not random storage. Start creating some basic structure (folders, categories). Level 2: The Organizer “Classify knowledge by topics, departments, and workflows.” Goal: Add clarity and context. Mindset: Structuring data so it’s easier to retrieve. You’ve moved beyond simply storing knowledge. You start to define where and how data is kept. How to improve: Use simple structures: Category → Subcategory → Actionable Insight. Make sure the content can be easily updated and retrieved. Level 3: The Strategist “Link data with context, making it actionable.” Goal: Create a system where context meets knowledge. Mindset: Context-driven knowledge retrieval and application. This is where results compound. You turn stored knowledge into actionable insights. How to improve: Use feedback loops: categorize → review → refine → apply. Start building systems where knowledge is automatically applied to real tasks. Level 4: The Master “Integrate AI into your knowledge system to automate insights.” Goal: Make the system intelligent and adaptive. Mindset: AI seamlessly integrates with your knowledge base. At this level, AI works with your knowledge to deliver insights instantly. Your system evolves and improves continuously. How to improve: Build smart systems that learn and adapt with each data point. Ensure the system becomes part of your everyday workflow. My team and I use Level 3 and 4 knowledge management every single day. It’s how we scale insights and create smarter AI systems faster. How much do you know about managing knowledge for AI? Drop a comment below to discuss. If you want your business to thrive with AI, you need to optimize your knowledge management system. That’s exactly what we do at Thunai.ai. Learn more here: Thunai.ai ♻️ Repost if you believe AI can only be powerful if knowledge is properly structured. ➕ Follow Aditya for more actionable insights on optimizing your AI-driven knowledge systems.