Strategies for Managing Tech Project Dependencies

Agile: It Depends Sorry, purists, but cross-team dependencies are a reality, even in Agile environments - and especially when scaling (e.g., SAFe). Agile teams are independent, but don't (or shouldn't) work in isolation. Dependencies, whether they're due to shared systems, limited expertise, or interconnected work products, can disrupt flow, cause friction, and delay value delivery. When they can't be eliminated, then managing them effectively should become a core team skill in any complex, interconnected environment. Dependencies Dependencies emerge when one team’s work relies on the completion or input of another team, ART, or external group. Left unmanaged, they create bottlenecks, misalignments, and delays, threatening Agile’s focus on predictability. The ideal scenario minimizes dependencies, but practical constraints like limited expertise or tightly coupled systems mean they can’t all be eliminated. So, the focus must shift to managing dependencies with transparency and collaboration. Visualization Make dependencies visible. Tools like dependency maps, inter-team Kanban boards, or visualizations in platforms like Jira (e.g., BigPicture) help teams see connections and track progress. Effective visualization highlights critical handoffs and potential delays, enables teams to monitor dependency resolution in real time, and provides a shared understanding for better coordination. During PI Planning, teams can use dependency boards to identify risks, align timelines, and agree on milestones. Be Proactive Dependencies must be identified as early as possible to reduce surprises. Teams should surface them during Agile events During PI Planning, teams collaborate to uncover cross-team dependencies and plan solutions. Reviewing stories during Backlog Refinement allows teams to flag and address dependencies before they become urgent. By proactively identifying dependencies, teams can align their schedules, coordinate integration efforts, and mitigate delays before they impact delivery. Accountability Every dependency needs a clear owner. Without ownership, accountability gets lost, and dependencies become a source of frustration. Ownership means assigning a team or person to manage each dependency, setting clear agreements on timelines and expectations, and checking progress regularly to maintain alignment. This reduces ambiguity and fosters trust. Reduce Impact Some dependencies are unavoidable, but teams can reduce their impact through thoughtful technical and architectural choices. Designing modular systems, using feature toggles, and automating shared tests are just some of the practices that can help teams work more independently. It Depends - But It’s Manageable Dependencies may be unavoidable, but they don’t have to be disruptive. By visualizing, identifying, owning, and mitigating dependencies, teams can maintain flow, improve collaboration, and deliver value predictably. Doing so is a skill every Agile team must master.

How I Managed Interdependencies Across Multiple Programs at Amazon Managing one program is hard. Managing interdependencies across 7 programs? That’s where things break. Not because people aren’t working hard. But because no one has a clear system for how work connects. I dealt with this constantly at Amazon. Here’s the exact approach I used: 1/ I mapped dependencies visually…not mentally ↳ Who depends on who ↳ What needs to happen first ↳ Where timelines intersect ↳ I used a simple table or diagram: Program A → needs API from Program B → before Program C can launch If it’s not visible, it’s not manageable. 2/ I forced ownership at every connection point ↳ Not just program owners ↳ dependency owners ↳ “Who owns this handoff?” ↳ “Who is accountable if this slips?” Ambiguity at the edges is where delays live. 3/ I tracked dependencies separately from tasks ↳ Most teams track their own work well ↳ What they don’t track well: what they’re waiting on ↳ I created a simple list: • Dependency • Owner • Due date • Risk level This became the real control layer. 4/ I ran a weekly “dependency-first” sync ↳ Not status ↳ Not updates ↳ Just: • What’s blocked? • What’s at risk? • What needs to be decided? The goal: unblock, not report. 5/ I escalated early…with context ↳ “If Program B slips by 3 days, Programs C and D both move” ↳ Not just: “We’re blocked” ↳ Leaders care about impact chains, not individual delays. 6/ I assumed misalignment…and checked constantly ↳ Different teams = different priorities ↳ What feels “on track” to one team can break another ↳ I’d ask: ↳ “If you slip, who else is affected?” That question surfaces hidden risk fast. 7/ I simplified wherever possible ↳ Fewer dependencies = faster execution ↳ I constantly asked: ↳ “Do these programs actually need to be connected?” Sometimes the best move is decoupling, not coordinating. Here’s the truth: Managing interdependencies isn’t about tracking more. It’s about making connections visible, owned, and actionable. 📬 I write weekly about program management, execution, and operating at scale in The Weekly Sync: 👉 https://lnkd.in/e6qAwEFc If you’re managing multiple programs right now…what’s your biggest challenge?

Let's be honest: extensive cross-team coordination is often a symptom of a larger problem, not an inevitable challenge that needs solving. When teams spend more time in alignment than on building, it's time to reconsider your organizational design. Conway's Law tells us that our systems inevitably mirror our communication structures. When I see teams drowning in coordination overhead, I look at these structural factors: - Team boundaries that cut across frequent workflows: If a single user journey requires six different teams to coordinate, your org structure might be optimized for technical specialization at the expense of delivery flow. - Mismatched team autonomy and system architecture: Microservices architecture with monolithic teams (or vice versa) creates natural friction points that no amount of coordination rituals can fully resolve. - Implicit dependencies that become visible too late: Teams discover they're blocking each other only during integration, indicating boundaries were drawn without understanding the full system dynamics. Rather than adding more coordination mechanisms, consider these structural approaches: - Domain-oriented teams over technology-oriented teams: Align team boundaries with business domains rather than technical layers to reduce cross-team handoffs. - Team topologies that acknowledge different types of teams: Platform teams, enabling teams, stream-aligned teams, and complicated subsystem teams each have different alignment needs. - Deliberate discovery of dependencies: Map the invisible structures in your organization before drawing team boundaries, not after. Dependencies are inevitable and systems are increasingly interconnected, so some cross-team alignment will always be necessary. When structural changes aren't immediately possible, here's what I've learned works to keep things on the right track: 1️⃣ Shared mental models matter more than shared documentation. When teams understand not just what other teams are building, but why and how it fits into the bigger picture, collaboration becomes fluid rather than forced. 2️⃣ Interface-first development creates clear contracts between systems, allowing teams to work autonomously while maintaining confidence in integration. 3️⃣ Regular alignment rituals prevent drift. Monthly tech radar sessions, quarterly architecture reviews, and cross-team demonstrations create the rhythm of alignment. 4️⃣ Technical decisions need business context. When engineers understand user and business outcomes, they make better architectural choices that transcend team boundaries. 5️⃣ Optimize for psychological safety across teams. The ability to raise concerns outside your immediate team hierarchy is what prevents organizational blind spots. The best engineering leaders recognize that excessive coordination is a tax on productivity. You can work to improve coordination, or you can work to reduce the need for coordination in the first place.

Over my 15 year career, every roadmap planning cycle I’ve been part of, across startup and big tech, has surfaced the same questions from TPMs, engineers, and product partners. The themes repeat themselves: influence without authority, dependency conflicts, political prioritization, unrealistic stretch goals, and the constant tension between ambition and capacity. In this post, I’ve collected the 20 most common questions I’ve heard throughout my career and answered them with the strategies, tools, and framing that have consistently helped teams move from chaos to clarity. If you’ve ever wondered “What do I do when…?” during planning season, this guide was written for you. For example - What do I do if a dependency team declines to support a top-priority feature for my org? You have two realistic options: 1️⃣ Find a workaround: Can your engineering team temporarily bypass the dependency, even if it means tech debt or a short-term patch? 2️⃣ Negotiate timing: Adjust scope or sequencing so the work aligns with when the dependency team can support it. Document decisions, communicate broadly, and make the downstream impact explicit. Clarity prevents re-litigation later. Read the full guide here: https://lnkd.in/gfeF7wNT

Interview Conversation Role: RTE Topic: Leveraging Jira Align 👨💼 Interviewer: "As an RTE, how do you use Jira Align to manage dependencies across teams in an Agile Release Train?" 🧑 Candidate: "Jira Align helps track tasks and dependencies between teams." 👨💼 Interviewer: "Imagine Team A is blocked because Team B’s feature isn’t ready, and this delay could impact the PI objectives. How would you use Jira Align to resolve and track such dependencies?" 🧑 Candidate: "I’d ask the teams to resolve it in their sync-up meetings." What a skilled RTE should have answered: ---------------------------------------------- 💡 Jira Align is a powerful tool for visualizing and proactively managing dependencies across teams and ARTs. Here’s how I’d approach the situation: ✍ 1. Proactive Identification: During PI Planning, I’d ensure teams clearly log dependencies in Jira Align’s Dependency Map. This allows us to identify blockers early and assess their impact on delivery timelines. ✍ 2. Continuous Tracking: I’d regularly review the Program Board in Jira Align to monitor the progress of dependencies. For example, if Team A relies on Team B’s feature, Jira Align enables both teams to align their schedules and track progress through automated updates. ✍ 3. Issue Resolution: In case of a delay, I’d leverage Jira Align to trigger an escalation. The tool’s centralized data makes it easy to identify priority dependencies, communicate risks to stakeholders, and propose adjustments to mitigate the impact on PI objectives. ✍ Example in Action: In a previous ART, a critical dependency delay between two teams risked derailing a feature release. By using Jira Align’s Portfolio Room, we aligned stakeholders, reprioritized deliverables, and reallocated capacity to keep the train on track. ✍ Impact: Jira Align ensures transparency, alignment, and faster conflict resolution, ultimately enabling ARTs to deliver value predictably. ✨ Key Takeaway: Managing dependencies is about more than meetings—it's about leveraging tools like Jira Align to proactively track, manage, and resolve risks. Transparency is the backbone of seamless execution. Join community for deeper insights: Link in the comment below #SAFe #ReleaseTrainEngineer #JiraAlign #AgileTransformation #DependencyManagement

Ever wondered why some software projects seem to hit roadblocks at every turn? A lot of it comes down to evaluating feature dependencies and sequencing. Let's break it down together. 🌟 Start with a Clear Blueprint Before diving in, map out the entire project. Identify the core features and functionalities. This blueprint isn't just a guide; it's your project's backbone. 🌟 Determine Dependencies Early Which features rely on others? For instance, if you're building a messaging app, the user authentication system must be in place before users can send messages. List these dependencies clearly. 🌟 Prioritisation is Key Not all features are created equal. Prioritise based on business value and technical feasibility. Ask yourself: Which features deliver the most value upfront? Which ones are technically easier to implement first? 🌟 Use Agile Methodologies Break the project into sprints. Each sprint should focus on a set of features that are interdependent. This approach ensures continuous progress and regular feedback. 🌟 Test Along the Way Don't wait until the end to test. Integrate testing into each phase. Early detection of issues saves time and resources. 🌟 Regularly Review and Adjust Projects are dynamic. Regularly revisit your blueprint and adjust based on feedback and new challenges. Flexibility can make or break your project. 🌟 Effective Communication Keep all stakeholders in the loop. Regular updates and feedback sessions ensure everyone is aligned. Remember, the best laid plans can go awry without clear communication. When you sequence features effectively, you pave the way for smoother project execution. Have you faced challenges with feature dependencies? Share your experiences below and let's learn together.

I’m kicking off an exciting project next week with an AI start-up, helping them map workflows to uncover execution gaps that they can solve with their AI solution. To do that, we will need to get really granular. Here’s the framework I’m using to break down the milestones of the process: Break up each process milestone into 3 parts: Pre-Dependencies → what must happen before you start Sub-Tasks → the steps that make it happen Post-Dependencies → what must happen after it’s done Next Steps → What, who and how Example: Equipment Procurement Pre: Signed proposal, drawings approved, deposit received Sub: Create POs, confirm lead times, update schedule Post: Notify PM team, update milestone, schedule warehouse check-in Next Steps: Change status of project in software to notify team Why this matters: The company I’m working with has a platform built to close the execution gap which is the space between what companies aim to do and what they can actually pull off. Their platform ingests data, detects operational signals & bottlenecks, and helps companies act faster. By pairing this framework (milestones broken into pre-, sub-, post- dependencies) with value stream mapping (capture current state, identify waste, then design a future state with their AI tool), we can make two big things happen: Spot exactly where execution drags and what dependencies or missing steps stall things. Design workflows that are simpler, cleaner, and more aligned so the AI signal is clear and actionable. What's your process?

Your project isn’t late. Your dependencies are. Every project manager has lived this pain: You do everything right… and still slip behind schedule. Why? Because half of your plan depends on people you don’t manage. And somehow, they always “just need one more day.” Here’s how I manage the dependency trap: 1. Visibility Map every external dependency early. If I’m waiting on you, you are on my radar. 2. Buffers Add breathing room where others own the work. Not pessimism, just math. 3. Proactive escalation If a dependency looks shaky, raise the flag before it collapses. Leaders can handle bad news. They hate late news. (and yes, more than budget cuts). Do I eliminate risk this way? No. But I make sure we’re ready when risk becomes reality. Because the truth is… Projects rarely fail inside the team. They fail at the handoffs, usually with an excuse attached. ↳ How do you keep dependencies from derailing your projects?  

High-stakes programs fail due to poor communication, mismanaged dependencies, and reactive problem-solving. Stakeholders lose confidence when surprises derail execution, and teams get frustrated when priorities shift unexpectedly. Three strategies to avoid failure: ✅ 𝐌𝐚𝐩 𝐃𝐞𝐩𝐞𝐧𝐝𝐞𝐧𝐜𝐢𝐞𝐬 𝐄𝐚𝐫𝐥𝐲 – Identify teams, systems, and vendors that impact timelines. Surprises kill momentum. ✅ 𝐂𝐨𝐦𝐦𝐮𝐧𝐢𝐜𝐚𝐭𝐞 𝐢𝐧 𝐋𝐚𝐲𝐞𝐫𝐬 – Match the message to the audience. ✅ 𝐀𝐧𝐭𝐢𝐜𝐢𝐩𝐚𝐭𝐞 𝐁𝐨𝐭𝐭𝐥𝐞𝐧𝐞𝐜𝐤𝐬 – Identify overloaded teams, integration gaps, and approval delays. Adjust priorities before issues escalate. High-stakes programs are leadership tests—the best managers drive predictability, transparency, and alignment. How do you ensure smooth execution? Join the conversation in the comments. #ProgramManagement #DependencyMapping #RiskManagement