Project Management Trend Analysis

This is an outstanding resource with practical advice from cover to cover This Challenge-led system mapping approach aims to improve capacity for transformational change by providing mechanisms for people to work more horizontally. It emphasises the importance of strong knowledge management processes to make actionable insight accessible and useful for people working across a shared challenge. The authors from Climate-KIC focus in on: 1️⃣ Facilitating transformation: Emphasising enabling system innovations across socio-technical systems 2️⃣ Participatory system mapping: Using a structured, interactive, and visual approach to collectively analyse and understand complex systems and allowing multiple stakeholders to co-create knowledge 3️⃣ Knowledge management: Transforming data into actionable insights through documentation, analysis, and visualisation "Knowledge management can help significantly improve the participatory processes by harvesting the information and transforming it into systematised knowledge. That knowledge, often describing system components and network mapping, can help to better understand complex systems and, thereby, contribute to decision-making and planning." 👏

In our previous discussion, we highlighted the importance of requirements traceability. Now, let's talk about sustained knowledge management. Picture this: A team starts a project from scratch every time, ignoring previous lessons learned. It’s like reinventing the wheel over and over. Documenting and maintaining process knowledge prevents this. It promotes continuous improvement and efficiency. Every new team benefits from the wisdom accumulated by its predecessors. They avoid past mistakes and leverage proven solutions. The key? Integrating these concepts into your Process Inventory framework. This not only facilitates accountability but also aligns strategic objectives with operational realities. It bridges gaps between leadership visions and ground-level execution. Think about it—traceability and sustained knowledge management aren’t just best practices. They are essential for any organization striving for excellence. Let’s ensure every step we take is marked and every lesson learned is recorded. It’s time to turn our knowledge into a sustainable asset, driving us towards success with clarity and confidence. What are your thoughts? How does your organization manage requirements and knowledge? Let’s discuss in the comments below! #DigitalTransformation #ProjectManagement #KnowledgeManagement #Traceability #ProcessImprovement

Your organisation is losing critical knowledge every day... and your reports and database won’t save it. This knowledge drain isn’t just about efficiency. It’s eroding institutional memory which slows down decision-making, and weakens programme impact. This guide uncovers the hidden knowledge gaps that keep development organisations reinventing the wheel and shows how to turn scattered insights into a lasting, shared asset. Key Takeaways from the guide include: ➤ Beyond Reports The most valuable lessons from projects and programs aren’t always written down. How do you capture insights from field staff, communities, and partners before they’re lost? ➤ From Information Overload to Strategic Knowledge Development organisations generate countless reports, evaluations, and studies. But are they used for decision-making or just archived? This guide shows how to turn data into actionable knowledge. ➤ Preventing Knowledge Loss During Transitions What happens when key staff leave? Without structured knowledge management, lessons, partnerships, and institutional memory disappear. Learn strategies to retain and transfer knowledge across teams and leadership changes. ➤ Breaking Down Silos Between Teams and Programmes Lessons from one project could be game-changing for another—but only if they are shared. This guide outlines how to bridge gaps between departments, sectors, and country offices. ➤ Leveraging Technology Without Losing Human Insights Digital platforms are essential, but technology alone isn’t enough. Learn how to balance tech-driven knowledge systems with people-centered learning. Impact relies on more than funding. It depends on how well we manage, share, and apply knowledge. Ready to stop the drain? Start here. #KnowledgementManagement 🔔 Follow Me ♻️ Sharing is Caring

When you’ve been at a startup for almost 8 years, you 𝘢𝘤𝘤𝘪𝘥𝘦𝘯𝘵𝘢𝘭𝘭𝘺 become a knowledge center. (Need to know how we used to run PD in 2017? I probably have the doc. Or at least the context. 🗃️) But here’s the thing: I won’t always be around to share my institutional knowledge. And a recent lightbulb moment from the Project Management Institute's 𝘗𝘳𝘰𝘫𝘦𝘤𝘵 𝘔𝘢𝘯𝘢𝘨𝘦𝘮𝘦𝘯𝘵 𝘉𝘰𝘥𝘺 𝘰𝘧 𝘒𝘯𝘰𝘸𝘭𝘦𝘥𝘨𝘦 reminded me how important it is to manage project knowledge on purpose. 📘 PMBOK defines Managing Project Knowledge as the process of using existing knowledge and creating new knowledge to achieve project goals 𝘢𝘯𝘥 contribute to organizational learning. What struck me most? It's not just about collecting documents—it's about capturing both explicit knowledge (the what) and tacit knowledge (the why + how). 💡 Think about it: 👉 Product teams often do this well—retros, documentation, shadowing, etc. 👉 But what about training and enablement? How are we capturing the insights behind what worked (or didn’t)? 👉 What habits or rituals help surface 𝘵𝘢𝘤𝘪𝘵 𝘬𝘯𝘰𝘸𝘭𝘦𝘥𝘨𝘦 before it walks out the door? One tool I’m experimenting with is a lightweight lessons learned register—capturing not just outcomes, but decisions, pivots, and insights along the way. I’m also investing time in building shared practices around documentation, feedback loops, and team retros. Because in startups, speed is great—but shared knowledge is what keeps the speed sustainable. 💬 Curious: How does your team manage knowledge transfer across projects, teams, or turnover? What’s worked (or flopped)? #ProjectManagement #LearningAndDevelopment #Startups #KnowledgeManagement #PMBOK #OrganizationalLearning #Leadership #Enablement

Most companies treat “knowledge management” like a filing cabinet. Centralize everything → hope people find it. But doing it well is very different. It’s not just about managing knowledge—it’s about: 1/ Managing diverse content types across departments – Support writes post-sales content, Marketing creates pre-sales content, Product ships product documentation and release notes, HR builds onboarding and employee enablement, Sales shares playbooks and sales resources, Channels shares partner enablement content. Each team produces content in a different format. 2/ Distributing knowledge and content across touchpoints – Knowledge and content are needed in customer portals, support pages, AI assistants, in-app help, CRMs, ticketing systems, intranets, partner portals, and even sales and service partner's websites, portals, and ticketing systems. 4/ Designing experiences for specific audiences – What customers expect in self-service is different from what employees need on an intranet, or what distributors need in a portal. Each application must feel purpose-built to the user, but be created and evolved using nocode by the creator. 5/ Capturing feedback & measuring performance – Customers downvote unhelpful articles, partners flag missing details, employees leave comments. Without feedback loops, content gets stale and trust erodes. 6/ Blending traditional and AI-based experiences – Some users prefer to search, filter, and browse while others want to have a conversation with an AI Assistant, and often the best solution is both working together. The result isn’t a “central library.” It’s a living system that: - Bridges departments and silos - Serves every audience where they are - Improves with each interaction That’s how knowledge can be leveraged to help customers, partners, and employees be more successful with your products and services. #knowledgemanagement, #customerenablement, #partnerenablement, #employeeenablement, #AI, #selfservice

What happens when your firm’s most critical knowledge lives in just one person’s head? What if they retire? Or leave? Or instead, what if you want to do more of the type of work they are an expert in and you want to scale what they know to more people in your firm? That’s the scenario we see all the time in AEC firms. On a recent episode of the Bold Brand Show, I talked with Josh Miles about how we help AEC firms tackle this problem—and it starts with people, not tech. Yes, Synthesis is a great technology for knowledge management. It’s our intranet solution for AEC firms, and we’re actively building learning management capabilities into it. But knowledge management isn’t just about tech. It’s about people, process, technology, and culture. So when firms come to us with this “single point of knowledge” challenge, we don’t start with the tool. We start with the process. The scenario is always similar: you’ve got one expert. Maybe they’re mid-career. Maybe they’re the only one who can run a certain kind of project—and your firm wants to do 10 or 20 of those a year, not just five. But that person is the bottleneck. So you sit down with those experts and have them talk through project stories. Times they faced a challenge. Projects that were special in some way. And you keep pressing for detail. How did you make that decision? That’s when the real knowledge starts to surface. They’ll say something like, “I kind of knew to do that because of X, Y, Z.” So we ask, what was the signal? And they’ll say, “Well actually, I have this checklist I keep on my desk…” Bingo. Most of these experts have tools—heuristics, mental models, little systems—that they use all the time but never articulate. No one’s ever asked. But once you dig in, it turns out they have a whole philosophy on how this works. It’s like journalism more than technology. You’re interviewing them, surfacing decisions, capturing insights. And once that knowledge is visible, then you can start to do something with it. You can turn it into a searchable video using Synthesis, sure. But more importantly, you can distill it. You can turn it into “Josh’s interview guide,” or “Kim’s pre-construction checklist,” or even a course on "Jennifer's approach to difficult client conversations.” Stuff they know but didn’t know they knew—until someone helped them uncover it. That’s where knowledge transfer really starts. P.S. We love the work of Dorothy Leonard—she wrote Critical Knowledge Transfer, and if you haven’t read it, I highly recommend it. Dorothy used to teach at Harvard Business School and MIT, and we partnered with her in 2017 over six months to work with four of our clients on exactly this problem. We shared their learnings at our KA Connect conference that year. #AEC #KnowledgeManagement #LearningOrganizations

Are You Structuring a PKM That Actually Serves Your People? Here’s the 3-Step Framework I Use to Make Knowledge Work for Everyone. Let’s get real: Most leaders (and teams) think they have a solid Personal Knowledge Management (PKM) system—until it’s too late. You see, I used to believe that capturing ideas, to-dos, and lessons in a random tool like Notion, Evernote, or even a dusty old spreadsheet was enough. But I kept seeing the same problem: the knowledge I stored wasn’t useful to the people I cared about—my team, my family, or even my future self. It was cluttered, outdated, or just plain irrelevant. So I had to ask the hard question: Am I structuring a PKM that actually serves my people—or am I just hoarding information? Spoiler alert: I was hoarding. And that realization changed everything. ⸻ Why This Matters (Especially for You): If you’re an operations leader, a project manager, or an entrepreneur juggling a thousand priorities, your PKM must do more than store info. It has to: ✅ Help others find answers FAST (think 5 minutes, not 5 hours) ✅ Drive decisions with actionable insights ✅ Reduce noise and build clarity—even when chaos hits This is about value over volume—and your real value is in what you share, not just what you know. ⸻ My 3-Step Framework (What I Wish I Knew Sooner): Here’s the exact structure I use to make my PKM useful to my team and my future self: 1️⃣ Curate with Purpose 👉 Don’t save everything. Only capture what directly serves your goals, your people’s needs, or your decision-making process. Example: When I’m leading a project, I ask: Will this note help someone solve a problem, learn a skill, or make a decision? If not, I let it go. 2️⃣ Connect the Dots 👉 Tagging is great, but linking ideas is better. Think knowledge graphs, not just folders. Example: I create “decision trees” that link back to key insights, team processes, and past lessons—so no one has to reinvent the wheel. 3️⃣ Review and Refine Every 90 Days 👉 Outdated info = wasted time. I block time every quarter to purge, update, and realign my PKM with our evolving priorities. Fact: Studies show teams waste up to 30% of their time searching for information. That’s nearly 12 hours a week per person. ⸻ 📣 Here’s My Challenge to You: ✅ If you want a PKM that actually helps your team—not just yourself—start by asking: Who am I saving this for, and how will it help them? ✅ Then, apply the 3-step framework and commit to a 90-day review cycle. ⸻ Let’s build PKMs that matter—because your knowledge is only as good as its impact. Subscribe for more actionable frameworks on leadership, knowledge management, and operations strategy. #LeadershipDevelopment #ExecutiveCoaching #KnowledgeManagement

Outdated knowledge assets aren't just an administrative issue—it's a safety and quality issue that affects everyone. Growing concerns and the loss of experienced personnel are creating more and more pain oints across manufacturing. Many recognize that knowledge management must be a strategic focus for accelerating workforce competency, protecting operational performance, and driving innovation. But moving from a strategic focus to embedding it within the cultute of an organization is where it gets tricky. In my conversations with manufacturing leaders, organizations that are most successful at maintaining current documentation have gone deeper than just building systems—they've created cultures that genuinely value knowledge sharing and accuracy. One way to support this cultural shift is by creating a "knowledge health index"—a dashboard showing the status of knowledge assets across operations. Some of The most effective systems include: 🔁 Collecting feedback from users on documentation quality and accuracy, in a non-intrusice way as soon as the job is done. 📈 Monitoring usage patterns to identify which procedures are most frequently accessed 🫶Mature capabilities that can automatically flag documentation that may need updates based on system changes 🤝Create a way to gauge how often knowledge assets are being reviewed and updated - and recognizing those who lead by example. One manufacturer who implementing this approach has maintained over 95% accuracy in their critical knowledge assets, compared to less than 60% before implementation. The difference between organizations that struggle with knowledge management and those that leverage knowledge to create value isn't just adopting technology—it's creating an environment where everyone understands that knowledge is a shared asset that requires collective stewardship. The LNS Research Industrial Knowledge Management framework provides a scalable approach for manufacturers, regardless of where you are in your journey. What approaches have you seen work for maintaining critical operational knowledge in your organization? 📣 I'd love to hear your experiences in the comments. ⬇️ #KnowledgeManagement #IndustrialTransformation #OperationalExcellence #ConnectedWorkforce #DigitalTransformation

When projects or companies scale, senior engineers are often the ones who carry a substantial historical context. When this context is shared and documented (whether as internal comments next to the code, or diagrams explaining the flow, or a simple document), they can spend less time re-explaining the same concepts and more time actually delivering value. That shift has a measurable impact on business. With easily accessible project knowledge, onboarding cycles shorten, and estimation accuracy improves because decisions are easy to reference. Architectural debates focus on the future direction rather than on decoding previous reasoning. Structured knowledge ensures that capacity translates into output, rather than internal dependency. Over time, that consistency strengthens forecasting, improves delivery rhythm, and protects margins as project complexity increases.

Most companies see knowledge management as overhead. The best proposal organizations I have worked with treat it as a competitive weapon. Here is the difference in practice. Average organization: → Content lives in SharePoint folders named after years → Writers spend 45 minutes searching for a relevant past response → The same capability statement gets rewritten from scratch every six months → Win themes from three years ago are still being recycled High-performing organization: → Content is tagged, searchable, and reviewed quarterly → Writers find a compliant first draft in under ten minutes → Every section has a quality score based on past performance → Win themes evolve based on what evaluators are actually responding to The second organization does not just work faster. They work smarter. Their writers spend time on strategy and customization, not on rediscovering what already exists. That is the lever most proposal operations are leaving on the table. Knowledge does not just accumulate. It compounds. What would change at your organization if every proposal writer could find what they needed in under five minutes? #KnowledgeManagement #ProposalManagement #RFP #APMP #ContentStrategy