Integrating Change into Project Lifecycle

If your requirements live outside the tools your teams use to design and validate, you’re managing blind. That’s when change sneaks in, spreadsheets drift, and decisions get made on stale context. I’ve watched capable teams burn weeks on late change notices and heroic integrations because the requirements weren’t connected to the work.     The cost of ignoring this is well documented. A landmark study by Texas Instruments found runaway costs 7 out of 10 times when teams failed to keep requirements current. Projects that relied on documents or databases alone still saw high runaway rates. Add that test and integration often consume 50 to 60 percent of the lifecycle, and you can see why linking each requirement to test cases and design items is non‑negotiable. Another lesson from that research. Nearly all of your cost is locked in by the time you hit development. Decisions made early, with live requirements, decide whether your program will be late or lean.     Here’s the practice that consistently stabilizes complex, multi‑site programs. Treat requirements as a living system. Map each requirement to a specific design item, a test case, and a program constraint. Make the system web‑accessible and usable from common desktop tools so every entitled person can read, edit, and trace without a learning curve. Use notifications to flag parts and schedules at risk when a requirement changes.     The payoff for energy and utilities teams is concrete. Faster change assessment because every requirement has a home. Shorter test cycles because reruns automatically verify compliance. Better supplier conversations because requirements arrive early enough to adjust parts or propose alternatives. Most important, quality is designed in upstream, not inspected downstream. 

AI just cut your project timeline in half. Your people still need the same amount of time to change. That's the real conversation that's missing from most project discussions right now. AI is accelerating timelines we used to measure in quarters down to weeks. Leadership hears one example of "someone else doing it" and expects transformation overnight. But transformation whether it's adopting AI, a restructured process, or reimagined operating model only succeeds when people can actually work differently when it matters. Both Project Management and Change Management roles are essential. Both carry the outcome. Yet increasingly, both are being asked to do each other's jobs and not because anyone's failing, but because the pace has outrun the structure. Sound familiar? The PM gets asked to "drive adoption" right before go-live, even though adoption isn't a milestone, it's a behavior shift requiring different skills, conversations and measurement. The change lead gets brought in after decisions are locked, then asked to "sell it" to people who had no voice in shaping it. Projects move so quickly that "done" becomes go-live rather than whether people have actually changed how they work. This isn't a PM failure or CM failure. It's a system design problem. What needs to shift: If you lead projects: Treat change readiness as part of your critical path. Bring change expertise in early at decision, not execution. If you lead change: Show up early with insights that shape scope and sequencing. Be clear that adoption isn't a communications plan, it's a capability build that takes time. If you're navigating both: Your project and change plans need to work as partners, not parallel tracks. One shared timeline that accounts for what happens after the project team rolls off because adoption doesn't end at go-live or announcement, it's just getting started. I've seen burned-out teams and expensive tools no one uses when we get this wrong. I've also seen what's possible when project and change work in true partnership and that looks like clarity, momentum, and change that sticks. The pace isn't slowing down but that doesn't mean we leave people behind. If this resonates, I'd love to hear how you're navigating it. ♻️ Share with a PM or CM partner and let's start a better conversation. #ChangeManagement #ProjectManagement #AITransformation #Leadership #ChangeLeadership #FutureOfWork

#Change_Control ⛔ Change Control # Detailed Process for Making Changes 1. 𝐏𝐫𝐞𝐯𝐞𝐧𝐭 𝐭𝐡𝐞 𝐫𝐨𝐨𝐭 𝐜𝐚𝐮𝐬𝐞 𝐨𝐟 𝐜𝐡𝐚𝐧𝐠𝐞𝐬: The project manager should not just focus on managing changes, but proactively eliminate the need for changes. 2. 𝐈𝐝𝐞𝐧𝐭𝐢𝐟𝐲 𝐜𝐡𝐚𝐧𝐠𝐞: Changes can come from the project manager, as a result of measuring against the performance measurement baseline, or from the sponsor, the team, management, the customer, or other stakeholders. The project manager should be actively looking for changes from all these sources, because discovering a change early will decrease the impact of the change. 3. 𝐋𝐨𝐨𝐤 𝐚𝐭 𝐭𝐡𝐞 𝐢𝐦𝐩𝐚𝐜𝐭 𝐨𝐟 𝐭𝐡𝐞 𝐜𝐡𝐚𝐧𝐠𝐞 𝐰𝐢𝐭𝐡𝐢𝐧 𝐭𝐡𝐞 𝐤𝐧𝐨𝐰𝐥𝐞𝐝𝐠𝐞 𝐚𝐫𝐞𝐚: If it is a scope change, how will it affect the rest of the scope of the project? If it is a time change, how will it affect the rest of the schedule for the project? 4. 𝐂𝐫𝐞𝐚𝐭𝐞 𝐚 𝐜𝐡𝐚𝐧𝐠𝐞 𝐫𝐞𝐪𝐮𝐞𝐬𝐭: Changes can be made to the product scope, any part of the project management plan, the contract, charter, statement of work, policies and procedures, or even the performance measurement baseline. The process of making a change should follow the change management plan. 5. 𝐏𝐞𝐫𝐟𝐨𝐫𝐦 𝐢𝐧𝐭𝐞𝐠𝐫𝐚𝐭𝐞𝐝 𝐜𝐡𝐚𝐧𝐠𝐞 𝐜𝐨𝐧𝐭𝐫𝐨𝐥: How will the change affect all the other project constraints? A. Assess the change. B. Look for options. C. The change is approved or rejected. D. Update the status of the change in the change log. E. Adjust the project management plan, project documents, and baselines as necessary. 6. 𝐌𝐚𝐧𝐚𝐠𝐞 𝐬𝐭𝐚𝐤𝐞𝐡𝐨𝐥𝐝𝐞𝐫𝐬' 𝐞𝐱𝐩𝐞𝐜𝐭𝐚𝐭𝐢𝐨𝐧𝐬 𝐛𝐲 𝐜𝐨𝐦𝐦𝐮𝐧𝐢𝐜𝐚𝐭𝐢𝐧𝐠 𝐭𝐡𝐞 𝐜𝐡𝐚𝐧𝐠𝐞 𝐭𝐨 𝐬𝐭𝐚𝐤𝐞𝐡𝐨𝐥𝐝𝐞𝐫𝐬 𝐚𝐟𝐟𝐞𝐜𝐭𝐞𝐝 𝐛𝐲 𝐭𝐡𝐞 𝐜𝐡𝐚𝐧𝐠𝐞: How often do you remember to do this? You could think of this, in part, as configuration management (version control to make sure everyone is working off the same project documentation). 7. Manage the project to the revised project management plan and project documents ⚠ 𝐀𝐟𝐭𝐞𝐫 𝐚𝐩𝐩𝐥𝐲𝐢𝐧𝐠 𝐚𝐥𝐥 𝐬𝐭𝐞𝐩𝐬 𝐟𝐨𝐫 𝐦𝐚𝐤𝐢𝐧𝐠 𝐜𝐡𝐚𝐧𝐠𝐞, 𝐦𝐚𝐧𝐲 𝐩𝐞𝐨𝐩𝐥𝐞 𝐟𝐨𝐫𝐠𝐞𝐭 𝐭𝐨 𝐧𝐨𝐭𝐢𝐟𝐲 𝐬𝐭𝐚𝐤𝐞𝐡𝐨𝐥𝐝𝐞𝐫𝐬 𝐨𝐟 𝐜𝐡𝐚𝐧𝐠𝐞𝐬 𝐚𝐧𝐝 𝐡𝐨𝐰 𝐭𝐡𝐞 𝐜𝐡𝐚𝐧𝐠𝐞𝐬 𝐰𝐢𝐥𝐥 𝐚𝐟𝐟𝐞𝐜𝐭 𝐭𝐡𝐞𝐦. 𝐌𝐚𝐤𝐢𝐧𝐠 𝐬𝐮𝐜𝐡 𝐧𝐨𝐭𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧𝐬 𝐢𝐬 𝐢𝐦𝐩𝐨𝐫𝐭𝐚𝐧𝐭. #projectmanagement #projectcontrols #projectmanager #project #planning #scheduling #engineering #construction #projectcontrol #planningmanager #schedule #p6 #primavera #riskmanagement #planner #planners #planningengineer #projects #projectmanagers #PM #PMO #work #scheduler

Many see project scope as something that should remain fixed once defined. However, allowing project scope to evolve as new information and insights emerge ensures projects remain relevant and impactful. Here are some practical strategies to manage an evolving project scope: 𝗥𝗲𝗴𝘂𝗹𝗮𝗿 𝗥𝗲𝘃𝗶𝗲𝘄 𝗠𝗲𝗲𝘁𝗶𝗻𝗴𝘀: Schedule periodic meetings to reassess the project scope and incorporate new insights. . 𝗦𝘁𝗮𝗸𝗲𝗵𝗼𝗹𝗱𝗲𝗿 𝗜𝗻𝘃𝗼𝗹𝘃𝗲𝗺𝗲𝗻𝘁: Keep stakeholders engaged throughout the project lifecycle. Regular updates and feedback sessions can provide valuable insights that might necessitate scope adjustments. 𝗔𝗴𝗶𝗹𝗲 𝗠𝗲𝘁𝗵𝗼𝗱𝗼𝗹𝗼𝗴𝗶𝗲𝘀: Adopt agile frameworks like Scrum or Kanban that inherently support iterative development and scope flexibility. 𝗖𝗹𝗲𝗮𝗿 𝗖𝗵𝗮𝗻𝗴𝗲 𝗠𝗮𝗻𝗮𝗴𝗲𝗺𝗲𝗻𝘁 𝗣𝗿𝗼𝗰𝗲𝘀𝘀: Establish a transparent process for handling scope changes. This includes documenting changes, assessing their impact, and obtaining necessary approvals. 𝗣𝗿𝗶𝗼𝗿𝗶𝘁𝗶𝘇𝗲 𝗖𝗼𝗺𝗺𝘂𝗻𝗶𝗰𝗮𝘁𝗶𝗼𝗻: Maintain open and continuous communication within the team and with stakeholders. This ensures everyone is aware of potential changes and their implications. 𝗥𝗶𝘀𝗸 𝗠𝗮𝗻𝗮𝗴𝗲𝗺𝗲𝗻𝘁: Identify and plan for potential risks associated with scope changes. This prepares the team to handle unexpected challenges without derailing the project. How do you manage evolving project scopes in your organization? Share your experiences and strategies in the comments below! #ProjectManagement #StakeholderEngagement #ScopeManagement

Change Management Lifecycle in ITGC A strong Change Management lifecycle is one of the most critical IT General Controls (ITGCs) for ensuring system integrity, compliance, and operational stability. This visual outlines the 4 key stages of an effective ITGC Change Management framework: 🔹 1. Change Request & Authorization Every change begins with a formal request, business justification, management sign-off, and proper classification (standard, major, emergency). This ensures only valid and approved changes move forward. 🔹 2. Testing & CAB Approval Before deployment, changes must pass Dev/UAT testing, evidence validation, CAB review, and rollback planning. This reduces implementation risk and strengthens audit readiness. 🔹 3. Production Deployment & Segregation of Duties (SoD) A critical control point where developers should never deploy their own code. Controlled production access, emergency change workflows, and strong access controls help prevent unauthorized or risky releases. 🔹 4. Audit Trail & Closure The process closes with complete audit logging, post-implementation review, evidence retention, and continuous improvement, creating a strong compliance trail for SOX, SOC 1/2, COBIT, ITIL, and ISO 27001. 💡 Key Takeaway Well-designed change controls don’t just support compliance—they protect production environments, reduce business disruption, and build trust in IT operations. Kalesha & co Next Gen Assure #ITGC #ChangeManagement #SOX #SOC2 #COBIT #ITIL #ISO27001 #Audit #RiskManagement #ITControls #GRC

Is your fast moving product team struggling with compliance for medical device development? Maybe the problem isn’t with the team but with your design control procedures. Modern development methods involve frequent iterations of hardware and software. If your company’s design control procedures assume a once-through, linear approach (with no unknowns) then your quality system is likely undermining product teams instead of supporting them. Here are three recommendations for improving quality system support for design iterations during development (without compromising compliance): 1 - Staged change control: don’t use a one-size-fits-all change management process; instead make the change controls appropriate to the stage of development: use a lightweight process for early in development then increase controls as the project progresses, eventually to full production controls at the time of launch 2 - Emergent requirements: don’t mandate completed product requirements at the beginning of development; instead allow the initial release of a product requirements document to include multiple TBDs that identify uncertainties and gaps which the product team will then resolve during development as they gain more knowledge from prototyping and testing 3 - ALM system: implement an Application Lifecycle Management system (software tool) for managing risk, requirements, design, and test data and traceability amongst these elements; an ALM system provides a single source of truth for key design control content throughout development and can keep up with frequent product design iterations (the DHF documents are then generated automatically out of the ALM system database) Do you have other tips for supporting fast moving medical device product teams?