Adaptive Project Management Techniques

According to the 𝟐𝟎𝟐𝟒 𝐒𝐭𝐚𝐭𝐞 𝐨𝐟 𝐭𝐡𝐞 𝐂𝐈𝐎 𝐒𝐮𝐫𝐯𝐞𝐲 by Foundry, 𝟕𝟓% of CIOs find it challenging to strike the right balance between these two critical areas. This difficulty is notably higher in sectors such as education (𝟖𝟐%) and manufacturing (𝟕𝟖%), and less so in retail (𝟓𝟒%). (Source: https://lnkd.in/ebsed9i7) 𝐖𝐡𝐲 𝐓𝐡𝐢𝐬 𝐂𝐡𝐚𝐥𝐥𝐞𝐧𝐠𝐞 𝐄𝐱𝐢𝐬𝐭𝐬: The increasing emphasis on digital transformation and artificial intelligence (AI) is driving the need for innovation. In 2024, 28% of CIOs reported that their primary CEO-driven objective was to lead digital business initiatives, a significant increase from the previous year. This push towards innovation often competes with the imperative to maintain operational excellence, including upgrading IT and data security and enhancing IT-business collaboration. 𝐓𝐡𝐞 𝐈𝐦𝐩𝐚𝐜𝐭 𝐨𝐧 𝐎𝐫𝐠𝐚𝐧𝐢𝐳𝐚𝐭𝐢𝐨𝐧𝐬: The tension between innovation and operational excellence can lead to a misallocation of resources if not managed correctly. It can result in either stifling innovation due to overemphasis on day-to-day operations or risking operational integrity by over-prioritizing disruptive technological advancements. For instance, sectors with a high focus on operational challenges, such as education and healthcare, particularly emphasize IT security and business alignment over aggressive innovation. 𝐀𝐝𝐯𝐢𝐜𝐞 𝐟𝐨𝐫 𝐂𝐈𝐎𝐬: • 𝐄𝐦𝐛𝐫𝐚𝐜𝐞 𝐚 𝐃𝐮𝐚𝐥 𝐀𝐠𝐞𝐧𝐝𝐚: Get used to it! CIOs should advocate for an IT strategy that equally prioritizes operational excellence and innovation. This involves not only leading digital transformation projects, but also ensuring that these innovations deliver tangible business outcomes without compromising the operational integrity of the organization. • 𝐒𝐭𝐫𝐞𝐧𝐠𝐭𝐡𝐞𝐧 𝐈𝐓 𝐚𝐧𝐝 𝐁𝐮𝐬𝐢𝐧𝐞𝐬𝐬 𝐂𝐨𝐥𝐥𝐚𝐛𝐨𝐫𝐚𝐭𝐢𝐨𝐧: Strengthening the collaboration between IT and other business units remains a top priority. CIOs should work closely with business leaders to ensure that technological initiatives are well-aligned with business goals, thereby enhancing the overall strategic impact of IT. • 𝐃𝐞𝐯𝐞𝐥𝐨𝐩 𝐚 𝐅𝐥𝐞𝐱𝐢𝐛𝐥𝐞 𝐑𝐞𝐬𝐨𝐮𝐫𝐜𝐞 𝐀𝐥𝐥𝐨𝐜𝐚𝐭𝐢𝐨𝐧 𝐌𝐨𝐝𝐞𝐥: To manage the dynamic demands of both innovation and operational tasks effectively, CIOs should adopt a flexible resource allocation model. This model would allow the IT department to shift resources quickly between innovation-driven projects and core IT functions, depending on the business priorities at any given time. ******************************************* • Visit www.jeffwinterinsights.com for access to all my content and to stay current on Industry 4.0 and other cool tech trends • Ring the 🔔 for notifications!

HR doesn’t need more dashboards. It needs better listening. Most people teams measure what’s easy…like engagement scores or turnover. But the best teams? They build feedback loops that help them predict problems, not just react to them. This post gives you 11 of the most useful, often-overlooked loops you can implement across the employee lifecycle: 🟢 Week 2 new hire check-ins (capture early impressions) 🟠 Post-interview surveys (from both sides) 🔵 Onboarding reviews (day 90 is your goldmine) 🟡 Skip-level 1:1s (cross-level truth-telling) 🟣 Quarterly team health check-ins (lightweight, manager-led) …and 7 more. 📌 Save this if: • You’re building a modern HR function • You want fewer “We should’ve seen this coming” moments • You believe listening is strategy Which feedback loop is missing in your company?

Let's cut to the chase: GenAI project complexity can quickly spiral out of control. Here's a project structure that keeps things clean, maintainable, and scalable: Key components and their benefits: 1. Modular 'src/' Directory: - Separates concerns: prompts, LLM integration, data handling, inference, utilities - Enhances code reusability and testing - Simplifies onboarding for new team members 2. 'configs/' for Environment Management: - Centralizes configuration, reducing hard-coded values - Facilitates easy switching between development, staging, and production environments - Improves security by isolating sensitive data (e.g., API keys) 3. Comprehensive 'tests/' Structure: - Distinguishes between unit and integration tests - Encourages thorough testing practices - Speeds up debugging and ensures reliability, crucial for AI systems 4. 'notebooks/' for Experimentation: - Keeps exploratory work separate from production code - Ideal for prompt engineering iterations and performance comparisons 5. 'docs/' for Clear Documentation: - Centralizes key information like API usage and prompt strategies - Crucial for maintaining knowledge in rapidly evolving AI projects This structure aligns with the principle "Explicit is better than implicit." It makes the project's architecture immediately clear to any developer jumping in. Question for the community: How do you handle versioning of models and datasets in your AI projects?

Stakeholder Engagement Map for Sustainability 🌎 Sustainability advances when companies move from speaking to stakeholders toward building solutions with them. Engagement becomes powerful when it shifts from information-sharing to participation and co-creation. Employees are not passive recipients of corporate policies. When positioned as innovators and ambassadors, they can drive cultural change that scales faster than top-down initiatives. Investors increasingly evaluate not only financial returns but also resilience and impact. Open dialogue and credible disclosures create the foundation for financing models that reward long-term value creation. Regulators and policymakers shape the boundaries of what is possible. Proactive collaboration ensures that emerging rules both protect society and enable business innovation. NGOs and civil society connect business with pressing social and environmental realities. Partnerships with them help translate global challenges into concrete, measurable corporate actions. Customers bring more than purchasing power. Through collaboration and product co-design, they accelerate the adoption of sustainable solutions and redefine what markets demand. Suppliers and partners extend responsibility beyond a single enterprise. Joint innovation in sourcing, standards, and technology transforms sustainability into a shared endeavor across the value chain. Communities ground sustainability in place. When businesses co-invest in local development, they secure trust and create ecosystems that benefit both society and the enterprise. Media and opinion leaders influence how actions are perceived. Transparent storytelling backed by evidence strengthens legitimacy and reinforces accountability. Academia and experts contribute the critical lens of science and independent validation. Engaging them ensures that strategies are rooted in knowledge, not convenience. Risk and resilience demand collective approaches. Working groups and cross-sector alliances elevate sustainability from individual commitments to systemic impact. True engagement means entering a space of shared design. It is in these interactions that sustainability moves from compliance to transformation, and from promises to outcomes. #sustainability #business #sustainable #esg

30 60 90 Day Plans can be a very useful and simple method to drive specific process improvement projects or initiatives I generally use them to plan out specific projects and goals within an overall Continuous Improvement (CI) approach. 💠 I start with identifying a specific issue, and then breaking down the plan into three phases- 30 days, 60 days and 90 days. That's all kept very high-level, as in the visual below. 💠 The first 30 days are usually focused on learning and planning, the next 30 days are focused on implementation and monitoring and the final 30 days are focused on evaluation and optimization. The whole approach is kept in line with Lean Six Sigma thinking: PDSA- Plan Do Study Act and DMAIC- Define, Measure, Analyze, Improve, Control. 💠 Beyond the high-level plan, it's important to get into the nitty gritty details of improvement. This involves setting specific milestones for the end of each of the 30 day periods and agreeing roles and responsibilities with each team member. 💠 It is REALLY important to have systems and processes that support scheduled check-ins. If you are using cycle planning, the team must agree how they will communicate and collaborate. It may be a mixture of daily huddles, weekly team meetings, 1:1's or something else. 💠 It helps to use simple project management tools (e.g. Trello, Asana, or Microsoft Project) to visualize progress and manage tasks. Just make sure that support is high if people are unfamiliar with the technology as technology could be barrier otherwise! 💠 I like to keep it simple and at the end of each 30-day period, review the progress made towards the milestones. Discuss what worked well and what didn’t, and use these insights to improve the next phase. 💠 Remember to recognize all efforts and celebrate the achievements at each milestone. 💠 And when it comes to evaluation, conduct a thorough review of the entire initiative at the end of 90 days. Assess the outcomes against the original objectives. Gather feedback from the team on the process and outcomes to inform future projects. 💠 Really importantly, build in a continuous improvement approach to your process management. Establish a routine of regular feedback, monitoring, and adaptation to continually improve the process. Have you any experience with cycle planning? Have you any tips for people? Leave your thoughts in the comments 🙏 #changemanagement #strategicplanning #goals #continuousimprovement #cycleplanning #projectmanagement

Rolling vs Static Forecasts Static budgets are killing your ability to adapt. There, I said it. Most businesses create their annual budget in December, then spend the next 12 months pretending those assumptions still make sense when everything has changed. I see this problem everywhere. Companies clinging to outdated numbers while their actual business reality shifts completely. The alternative? Rolling forecasts. But let me break down both approaches because each has its place: 📊 STATIC BUDGETS The old school approach. You build it once at the beginning of the year based on your best guesses at that moment. Characteristics include being set annually, using assumptions from one point in time, staying hard to adjust mid year, and focusing mainly on variance reporting. The benefits are real. Clear performance benchmarks, easier long term planning, and boards love them because they provide predictable targets. The downsides hurt though. They become outdated fast, can't adapt to market changes, and create that dangerous "set it and forget it" mentality. 📈 ROLLING FORECASTS The modern approach. Dynamic planning that updates regularly, typically monthly or quarterly, by adding future periods and dropping past ones. Key features include regular updates based on current data, continuous 12 to 18 month forward visibility, and direct connection to operational drivers like sales pipelines and hiring plans. Benefits include being agile and responsive to change, improving real time decision making, and helping anticipate both risks and opportunities. Challenges include requiring more ongoing effort, being harder to coordinate across departments, and feeling less concrete to some stakeholders. 🎯 THE VERDICT Rolling forecasts win for operational management. Static budgets still have value for board governance and investor reporting, but running your business day to day requires the flexibility that only rolling forecasts provide. The hybrid approach works best. Keep a static budget for external reporting requirements, but manage internally with rolling forecasts that reflect current reality. === Budgeting shouldn't be about hitting arbitrary numbers set 12 months ago when market conditions were completely different. It should be about having accurate, current information to make smart business decisions. What's your take? Are you still stuck with static budgets or have you moved to rolling forecasts?

𝐒𝐭𝐚𝐤𝐞𝐡𝐨𝐥𝐝𝐞𝐫 𝐄𝐧𝐠𝐚𝐠𝐞𝐦𝐞𝐧𝐭: 𝐌𝐞𝐞𝐭 𝐓𝐡𝐞𝐦 𝐖𝐡𝐞𝐫𝐞 𝐓𝐡𝐞𝐲 𝐀𝐫𝐞 Enterprise Architecture abhors a vacuum—it thrives on stakeholder engagement. Often, architects jump into collaboration without first assessing one critical factor: • 𝐖𝐡𝐚𝐭 𝐝𝐨 𝐬𝐭𝐚𝐤𝐞𝐡𝐨𝐥𝐝𝐞𝐫𝐬 𝐤𝐧𝐨𝐰, 𝐚𝐧𝐝 𝐛𝐞𝐥𝐢𝐞𝐯𝐞, 𝐚𝐛𝐨𝐮𝐭 𝐄𝐀? Before strategy, frameworks, or roadmaps, 𝐮𝐧𝐝𝐞𝐫𝐬𝐭𝐚𝐧𝐝 𝐭𝐡𝐞𝐢𝐫 𝐚𝐰𝐚𝐫𝐞𝐧𝐞𝐬𝐬, 𝐩𝐞𝐫𝐜𝐞𝐩𝐭𝐢𝐨𝐧𝐬 and 𝐞𝐱𝐩𝐞𝐜𝐭𝐚𝐭𝐢𝐨𝐧𝐬. This will shape how you approach, gain buy-in, and drive outcomes. Here are 𝐭𝐡𝐫𝐞𝐞 𝐞𝐬𝐬𝐞𝐧𝐭𝐢𝐚𝐥 𝐦𝐨𝐯𝐞𝐬 for aligning EA with stakeholders: 𝟏 | 𝐆𝐚𝐮𝐠𝐞 𝐄𝐀 𝐀𝐰𝐚𝐫𝐞𝐧𝐞𝐬𝐬 𝐁𝐞𝐟𝐨𝐫𝐞 𝐄𝐧𝐠𝐚𝐠𝐢𝐧𝐠 EA means different things to people, how can you align? Approach: * 𝐀𝐬𝐬𝐞𝐬𝐬 𝐞𝐱𝐢𝐬𝐭𝐢𝐧𝐠 𝐤𝐧𝐨𝐰𝐥𝐞𝐝𝐠𝐞. What do leaders think EA does? What experiences shape their view? * 𝐏𝐨𝐬𝐢𝐭𝐢𝐨𝐧 𝐄𝐀 𝐢𝐧 𝐭𝐡𝐞𝐢𝐫 𝐥𝐚𝐧𝐠𝐮𝐚𝐠𝐞. If a product saw EA as 'overhead,’ shift the conversation to ‘rapid decision-making.’ * 𝐓𝐚𝐢𝐥𝐨𝐫 𝐞𝐧𝐠𝐚𝐠𝐞𝐦𝐞𝐧𝐭 𝐛𝐲 𝐚𝐮𝐝𝐢𝐞𝐧𝐜𝐞. Finance, operations, and IT leaders have different concerns. Meet them on their terms. 👉 𝐎𝐮𝐭𝐜𝐨𝐦𝐞: When you shape EA’s role based on their reality, it becomes relevant, not theoretical. 𝟐 | 𝐀𝐥𝐢𝐠𝐧 𝐄𝐀 𝐭𝐨 𝐒𝐭𝐚𝐤𝐞𝐡𝐨𝐥𝐝𝐞𝐫 𝐏𝐫𝐢𝐨𝐫𝐢𝐭𝐢𝐞𝐬 EA isn’t all architecture, it’s solving business problems. Approach: * 𝐒𝐭𝐚𝐫𝐭 𝐰𝐢𝐭𝐡 𝐊𝐏𝐈𝐬. Growth? Efficiency? Risk? Align EA contributions to what leadership interests. * 𝐂𝐨𝐧𝐧𝐞𝐜𝐭 𝐭𝐞𝐜𝐡𝐧𝐨𝐥𝐨𝐠𝐲 𝐭𝐨 𝐢𝐦𝐩𝐚𝐜𝐭. Show architecture driving go-to-market, savings, or agility—over compliance. * 𝐀𝐧𝐭𝐢𝐜𝐢𝐩𝐚𝐭𝐞/𝐫𝐞𝐦𝐨𝐯𝐞 𝐫𝐨𝐚𝐝𝐛𝐥𝐨𝐜𝐤𝐬. If EA was a bottleneck, demonstrate accelerated decision-making instead. 👉 𝐎𝐮𝐭𝐜𝐨𝐦𝐞: EA is a strategic enabler, not afterthought. 𝟑 | 𝐁𝐮𝐢𝐥𝐝 𝐄𝐀 𝐢𝐧𝐭𝐨 𝐭𝐡𝐞 𝐁𝐮𝐬𝐢𝐧𝐞𝐬𝐬 𝐂𝐨𝐧𝐯𝐞𝐫𝐬𝐚𝐭𝐢𝐨𝐧 EA works best in collaboration, not isolation. Approach: * 𝐄𝐦𝐛𝐞𝐝 𝐚𝐫𝐜𝐡𝐢𝐭𝐞𝐜𝐭𝐬 𝐢𝐧𝐭𝐨 𝐛𝐮𝐬𝐢𝐧𝐞𝐬𝐬 𝐝𝐢𝐬𝐜𝐮𝐬𝐬𝐢𝐨𝐧𝐬. Decision-making improves when EA is a proactive presence. * 𝐒𝐡𝐢𝐟𝐭 𝐟𝐫𝐨𝐦 ‘𝐩𝐫𝐞𝐬𝐞𝐧𝐭𝐢𝐧𝐠 𝐄𝐀’ 𝐭𝐨 ‘𝐜𝐨-𝐜𝐫𝐞𝐚𝐭𝐢𝐧𝐠 𝐬𝐨𝐥𝐮𝐭𝐢𝐨𝐧𝐬.’ Stakeholders engage when architecture is a tool for their success. * 𝐂𝐨𝐧𝐭𝐢𝐧𝐮𝐨𝐮𝐬 𝐞𝐧𝐠𝐚𝐠𝐞𝐦𝐞𝐧𝐭, 𝐧𝐨𝐭 𝐨𝐧𝐞-𝐨𝐟𝐟. EA isn’t a pitch—it’s a dialog evolving with business. 👉 𝐎𝐮𝐭𝐜𝐨𝐦𝐞: EA shaping decisions early rather than reacting later. 𝐓𝐚𝐤𝐞𝐚𝐰𝐚𝐲 𝐒𝐭𝐚𝐤𝐞𝐡𝐨𝐥𝐝𝐞𝐫 𝐞𝐧𝐠𝐚𝐠𝐞𝐦𝐞𝐧𝐭 𝐬𝐭𝐚𝐫𝐭𝐬 𝐰𝐢𝐭𝐡 𝐮𝐧𝐝𝐞𝐫𝐬𝐭𝐚𝐧𝐝𝐢𝐧𝐠. Before pushing frameworks or models, assess 𝐰𝐡𝐚𝐭 𝐄𝐀 𝐦𝐞𝐚𝐧𝐬 𝐭𝐨𝐝𝐚𝐲—and how to reshape that narrative to unlock its full potential. How do align EA stakeholders? Let’s discuss.👇 --- ➕ 𝐅𝐨𝐥𝐥𝐨𝐰 Kevin Donovan 🔔    👍 Like | ♻️ Repost | 💬 Comment    🚀 𝐉𝐨𝐢𝐧 𝐀𝐫𝐜𝐡𝐢𝐭𝐞𝐜𝐭𝐬’ 𝐇𝐮𝐛 👉 https://lnkd.in/dgmQqfu2

𝗛𝗲𝗿𝗲’𝘀 𝘄𝗵𝘆 𝘆𝗼𝘂𝗿 𝗯𝘂𝗱𝗴𝗲𝘁 𝗽𝗹𝗮𝗻𝗻𝗶𝗻𝗴 𝗺𝗶𝗴𝗵𝘁 𝘀𝗹𝗼𝘄 𝗱𝗼𝘄𝗻 𝘆𝗼𝘂𝗿 𝗺𝗮𝗿𝗸𝗲𝘁𝗶𝗻𝗴 𝘀𝘁𝗿𝗮𝘁𝗲𝗴𝘆 💥 Traditionally, companies plan fixed annual budgets, allocate these to existing channels and only make slight changes throughout the year. ⚙ In today’s fast paced world this approach can often be very misleading. 🚨 Agile budgeting refers to continuously reviewing and adjusting budgets based on data to be more responsive and shift focus to best performing channels. ✅ 𝗛𝗼𝘄 𝘁𝗼 𝗶𝗺𝗽𝗹𝗲𝗺𝗲𝗻𝘁 𝗮𝗴𝗶𝗹𝗲 𝗯𝘂𝗱𝗴𝗲𝘁𝗶𝗻𝗴 𝗶𝗻 𝘆𝗼𝘂𝗿 𝗺𝗮𝗿𝗸𝗲𝘁𝗶𝗻𝗴 𝘀𝘁𝗿𝗮𝘁𝗲𝗴𝘆: ♻ Shorter Planning Cycles: Break down annual plans into quarterly or even monthly budgets, giving you more flexibility. 📊 Real-Time Tracking: Set up analytics dashboards and reporting tools to track key performance indicators (KPIs) for each campaign and channel. 🔎 Iterative Reviews: Regularly review budgeting with your team (weekly or bi-weekly). Discuss campaign performance and be ready to shift funds. 🌱 Embrace Flexibility: Be comfortable with the idea that your initial plan might change. Prioritize making adjustments based on data, rather than sticking to a rigid budget. 🔀 Cross-Functional Alignment: Work closely with finance teams to understand any constraints and ensure processes support nimble budget adjustments. What's your approach to budget planning? Let me know in the comments. 💬 - - - 🔔 Want to read more? Follow me Maximilian for regular posts and updates on #digitalmarketing, #lifeatgoogle and #career in tech.

Every time I see a really intelligent AI application, it's usually using one of these four patterns under the hood. Most people think AI magic happens with a single, super-smart model. But the real breakthrough? It's in how you orchestrate multiple LLM calls to work together. Here are the four agent patterns that are quietly powering the most impressive AI systems: ➤ Router Pattern:  A central router receives input and intelligently directs it to one of several specialized LLM calls based on the query type or content. This enables task-specific routing where different models or prompts handle different categories of requests. ➤ Parallel Processing with Aggregation:  Multiple LLM calls process the same input simultaneously, with their outputs fed into an aggregator that combines, synthesizes, or selects the best response. This pattern leverages multiple perspectives or specialized approaches for more robust outputs. ➤ Sequential Gate Pattern:  A linear workflow where each LLM call acts as a checkpoint. The first call processes input and produces an output that goes through a gate mechanism. Based on evaluation criteria, the workflow either passes to the next LLM call, exits successfully, or fails out. This creates a multi-stage validation or refinement process. ➤ Generator-Evaluator Loop:  An iterative pattern where a generator LLM creates solutions while an evaluator LLM assesses them. Accepted solutions proceed to output, while rejected ones trigger feedback that loops back to improve the generator's next attempt. This enables self-improving, iterative problem-solving. These patterns address different architectural needs: routing for specialization, parallel processing for robustness, sequential gating for quality control, and generator-evaluator loops for iterative refinement. Know more about AI Agents in my comprehensive guide: https://lnkd.in/d_V9DqbH Also, learn how to build Agentic AI systems in 10 mins: https://lnkd.in/gdFDkjJX No matter what kind of AI system you're building—whether it's RAG, agentic workflows, or analytics—you need a robust database to handle indexing, scaling, and hybrid search efficiently. I recommend using SingleStore for its high performance, vector support, and ability to unify structured and unstructured data. Try SingleStore for free: https://lnkd.in/dN5a826R

Stakeholder Satisfaction: If You’re Not Measuring It, You’re Guessing __________________________________________________________________________________ Are you 100% confident that your stakeholders are happy? If you're not keeping a constant eye on their satisfaction levels, you are shooting in the dark. And let's be honest, that's not gonna end well, is it? Managing stakeholders isn't just a numbers game. It's about making sure every person at the table feels seen, heard, and in sync. If they don’t align, you can go all out and still find yourself with a disappointing outcome. The Big Misstep Most Managers Make 👉 They Focus on Outputs, Not Outcomes: Completing tasks is enough. Think again, is it ? If stakeholders aren’t satisfied with how you deliver, you’re losing their trust. 👉 They Don’t Ask the Hard Questions: Managers often dread feedback as it may uncover uncomfortable realities. However, the truth doesn’t disappear by ignoring it. 👉 They Measure Satisfaction by Silence: No complaints? You should worry. Silence often signals disengagement—not approval. Simple Methods to Measure Stakeholder Satisfaction ✅ Pulse Surveys: Use concise, focused surveys to collect valuable insights. Ask questions like: “How satisfied are you with the clarity of my communication?” “Am I meeting your expectations on deliverables?” ✅ One-on-One Check-Ins: Don't shy away from those heart-to-hearts with your main stakeholders. Just throwing out a, "Hey, where can I step up my game?" is a sure shot step to some good strategic conversation. ✅ Stakeholder Scorecards: Have a scoring system to evaluate the quality of relationships using criteria such as trust, responsiveness, and alignment with objectives. ✅ Analyze Behaviors, Not Just Words: Read the room. Are stakeholders proactively engaging with you, or do they seem distant and unresponsive? ✅ Feedback Loops: Clearly demonstrate that feedback results in change. When stakeholders notice that you are implementing changes basis their feedback, they are more engaged. As an executive coach, I coach managers that stakeholder satisfaction isn’t a one-time achievement—it’s a dynamic process. Measuring it consistently allows you to adapt, align, and lead with impact. Stakeholders play a huge part in your corporate success. The Bottom Line If you're not assessing stakeholder satisfaction, you're risking important relationships. Take charge, gather the necessary data, and ensure that every interaction is meaningful.