Cross-Functional Productivity

75% of cross-functional teams are dysfunctional. That’s not just a statistic, it’s a warning sign. Misalignment, unclear roles, delayed decisions, and missed deadlines are not signs of poor talent. They’re signs of poor clarity. And no amount of hard work can compensate for a lack of it. In high-performing teams, clarity isn’t a luxury, it’s a system. Two proven frameworks I’ve seen transform team effectiveness are: 1. DACI: A Decision-Making Framework DACI creates structure around who decides what, a common source of friction in cross-functional settings. Here’s how the roles break down: 1) Driver – Leads the decision-making process. 2) Approver – The final decision-maker. 3) Contributors – Provide insights and recommendations. 4) Informed – Kept in the loop on the outcome. When to use DACI: - Strategic decisions with multiple stakeholders - Product development or vendor evaluations - Situations where decisions are delayed or disputed 2. RACI: A Responsibility Assignment Framework RACI brings clarity to who is responsible for what, especially during execution. 1) Responsible – Does the work. 2) Accountable – Owns the result. Only one per task. 3) Consulted – Offers advice or feedback. 4) Informed – Needs updates, not involvement. When to use RACI: - Project rollouts - Process handoffs - Cross-functional initiatives with shared ownership Key Difference: - DACI is for decisions. - RACI is for execution. Together, they reduce friction, eliminate ambiguity, and ensure the right people are involved at the right time. What’s Changing in 2025? 1) Teams are blending DACI + RACI in agile environments, one for planning, the other for execution. 2) Tools like Asana and ClickUp are embedding these frameworks into workflows. 3) AI is helping auto-suggest roles based on project patterns. 4) Clarity is being embedded into culture, not just project charters. If your team is stuck, slow, or stressed… chances are, clarity is missing, not commitment. So here’s a question worth reflecting on: - Is your team clear on who decides, who delivers, and who is just being kept in the loop? Because without that clarity, dysfunction is inevitable, no matter how talented your people are. #Leadership #DecisionMaking #Collaboration #TeamPerformance #DACI #RACI #CrossFunctionalTeams #Execution #Leadership #3prm #tprm #thirdpartyrisk #businessrisk

After spending three decades in the aerospace industry, I’ve seen firsthand how crucial it is for different sectors to learn from each other. We no longer can afford to stay stuck in our own bubbles. Take the aerospace industry, for example. They’ve been looking at how car manufacturers automate their factories to improve their own processes. And those racing teams? Their ability to prototype quickly and develop at a breakneck pace is something we can all learn from to speed up our product development. It’s all about breaking down those silos and embracing new ideas from wherever we can find them. When I was leading the Scorpion Jet program, our rapid development – less than two years to develop a new aircraft – caught the attention of a company known for razors and electric shavers. They reached out to us, intrigued by our ability to iterate so quickly, telling me "you developed a new jet faster than we can develop new razors..." They wanted to learn how we managed to streamline our processes. It was quite an unexpected and fascinating experience that underscored the value of looking beyond one’s own industry can lead to significant improvements and efficiencies, even in fields as seemingly unrelated as aerospace and consumer electronics. In today’s fast-paced world, it’s more important than ever for industries to break out of their silos and look to other sectors for fresh ideas and processes. This kind of cross-industry learning not only fosters innovation but also helps stay competitive in a rapidly changing market. For instance, the aerospace industry has been taking cues from car manufacturers to improve factory automation. And the automotive companies are adopting aerospace processes for systems engineering. Meanwhile, both sectors are picking up tips from tech giants like Apple and Google to boost their electronics and software development. And at Siemens, we partner with racing teams. Why? Because their knack for rapid prototyping and fast-paced development is something we can all learn from to speed up our product development cycles. This cross-pollination of ideas is crucial as industries evolve and integrate more advanced technologies. By exploring best practices from other industries, companies can find innovative new ways to improve their processes and products. After all, how can someone think outside the box, if they are only looking in the box? If you are interested in learning more, I suggest checking out this article by my colleagues Todd Tuthill and Nand Kochhar where they take a closer look at how cross-industry learning are key to developing advanced air mobility solutions. https://lnkd.in/dK3U6pJf

Too often, I’ve been in a meeting where everyone agreed collaboration was essential—yet when it came to execution, things stalled. Silos persisted, friction rose, and progress felt painfully slow. A recent Harvard Business Review article highlights a frustrating truth: even the best-intentioned leaders struggle to work across functions. Why? Because traditional leadership development focuses on vertical leadership (managing teams) rather than lateral leadership (influencing peers across the business). The best cross-functional leaders operate differently. They don’t just lead their teams—they master LATERAL AGILITY: the ability to move side to side, collaborate effectively, and drive results without authority. The article suggests three strategies on how to do this: (1) Think Enterprise-First. Instead of fighting for their department, top leaders prioritize company-wide success. They ask: “What does the business need from our collaboration?” rather than “How does this benefit my team?” (2) Use "Paradoxical Questions" to Avoid Stalemates. Instead of arguing over priorities, they find a way to win together by asking: “How can we achieve my objective AND help you meet yours?” This shifts the conversation from turf battles to solutions. (3) “Make Purple” Instead of Pushing a Plan. One leader in the article put it best: “I bring red, you bring blue, and together we create purple.” The best collaborators don’t show up with a fully baked plan—they co-create with others to build trust and alignment. In my research, I’ve found that curiosity is so helpful in breaking down silos. Leaders who ask more questions—genuinely, not just performatively—build deeper trust, uncover hidden constraints, and unlock creative solutions. - Instead of assuming resistance, ask: “What constraints are you facing?” - Instead of pushing a plan, ask: “How might we build this together?” - Instead of guarding your function’s priorities, ask: “What’s the bigger picture we’re missing?” Great collaboration isn’t about power—it’s about perspective. And the leaders who master it create workplaces where innovation thrives. Which of these strategies resonates with you most? #collaboration #leadership #learning #skills https://lnkd.in/esC4cfjS

#ThrivingToGetWorkDone Post 6 of 9: Fostering Collaboration and Teamwork: Breaking Down Silos Fostering collaboration and teamwork is essential in a complex environment like a hospital, where departments must work together seamlessly to provide the best patient care. Here are two short use cases on how to activate this skill in routine work within the hospital industry: Use Case 1: Collaborating Across Departments for a Multidisciplinary Care Plan You’re involved in creating a multidisciplinary care plan for patients with chronic illnesses. This requires input from various departments, including Cardiology, Nutrition, and Physical Therapy. To foster collaboration, you suggest, “Let’s schedule regular multidisciplinary team meetings where each department can share their insights and updates on patient progress. We’ll use these sessions to ensure that our care plans are fully integrated and that we’re all working towards the same patient outcomes.” By bringing everyone together, you break down silos and ensure that each department’s expertise is utilized, leading to better patient care. Use Case 2: Enhancing Collaboration in a Quality Improvement Project In another scenario, you’re working on a quality improvement project aimed at reducing hospital readmission rates. You notice that different departments, such as Discharge Planning, Pharmacy, and Home Health, are working in isolation. You propose a more collaborative approach: “Let’s form a cross-departmental task force to tackle this issue. We’ll meet bi-weekly to share data, discuss challenges, and develop integrated strategies to reduce readmissions. By working together, we can identify gaps in our processes and ensure a smoother transition for patients after discharge.” This approach not only fosters teamwork but also leads to more comprehensive solutions. #My2Cents: Collaboration is the cornerstone of success in any complex organization. By fostering teamwork and breaking down silos, we can leverage the full spectrum of our collective expertise, leading to better outcomes for our patients and our hospital. These posts aim to invoke a better overall environment by sharing practical ways to enhance workplace collaboration and productivity. What strategies have you used to foster collaboration in your workplace? Share your experiences in the comments! #Leadership #Teamwork #WorkplaceCulture #Collaboration #HealthcareLeadership #ThrivingAtWork #HospitalAdministration #PatientCare

We recently wrapped up usability testing for a client project. In the fast-paced environment of agency culture, the real challenge isn’t just gathering insights—it’s turning them into actionable outcomes, quickly and efficiently. Here’s how we ensured that no data was lost, priorities were clear, and progress was transparent for all stakeholders: 1️⃣ Organized Documentation: We broke the barriers— and documented on Excel sheet to categorize all observations into usability issues, enhancement ideas, and general comments. Each issue was tagged with severity (critical, high, medium, low) and frequency to highlight trends and prioritize fixes. 2️⃣ Action-Oriented Workflow: For high-severity and high-frequency issues, immediate fixes were planned to minimize potential impact. Ownership was assigned to specific team members, with timelines to ensure quick resolutions, in line with our fast-moving development cycle. 3️⃣ Client Transparency: A summarized report was shared with the client, showing the issues identified, the actions taken, and the progress made. This kept everyone aligned and built confidence in our iterative design process. Previously, I’ve never felt the level of confidence that comes from having such detailed and well-organized documentation. This documentation not only gave us clarity and streamlined our internal processes but also empowered us to communicate progress effectively to the client, reinforcing trust and showcasing the value of our iterative approach. It’s a reminder that thorough documentation isn’t just about organizing data—it’s about enabling smarter, faster decision-making. In agency culture, speed matters—but so does precision. How does your team balance the two during usability testing?

Over the years, I've discovered the truth: Game-changing products won't succeed unless they have a unified vision across sales, marketing, and product teams. When these key functions pull in different directions, it's a death knell for go-to-market execution. Without alignment on positioning and buyer messaging, we fail to communicate value and create disjointed experiences. So, how do I foster collaboration across these functions? 1) Set shared goals and incentivize unity towards that North Star metric, be it revenue, activations, or retention. 2) Encourage team members to work closely together, building empathy rather than skepticism of other groups' intentions and contributions. 3) Regularly conduct cross-functional roadmapping sessions to cascade priorities across departments and highlight dependencies. 4) Create an environment where teams can constructively debate assumptions and strategies without politics or blame. 5) Provide clarity for sales on target personas and value propositions to equip them for deal conversations. 6) Involve all functions early in establishing positioning and messaging frameworks. Co-create when possible. By rallying together around customers’ needs, we block and tackle as one team towards product-market fit. The magic truly happens when teams unite towards a shared mission to delight users!

"Marketing bolse eta banate hobe" is not a brief. If you’ve worked cross-functionally, you’ve heard some version of this. A request is passed along word-for-word, with no added context. But just acting as a courier rarely moves work forward. What actually helps is connecting the dots. For example – let’s say Marketing asks Sales for a new report. If you just pass the line “Marketing wants this,” Sales has no reason to treat it seriously. But if you add: Context: “Marketing wants to understand which channels are underperforming.” Impact: “Without this, we risk overspending next month.” Success: “The report should show conversion by channel, weekly.” Options: “We could start with last 3 months’ data only, or run the full year – here’s the trade-off.” When: “Needed by next Monday for the budget review.” Now the other team knows why it matters, what’s at stake, and how to help. If you’re on the receiving end, don’t accept vague asks either. Push back gently: “What’s the risk if this doesn’t get done? What’s the main outcome you need from this?” That not only protects your priorities, but also forces the person asking to frame the impact clearly. Authority can push. But clarity pulls. Have you seen “courier-style” requests in your org – and how did you handle them? #Collaboration #Leadership #Productivity #WorkingBetter

🔢 The data industry solved role clarity 15 years ago. 📚 The GRC industry is still debating what "technical" means. Here's how data teams evolved distinct career paths: 2010: Everyone was a "data analyst" doing SQL queries and Excel charts 2015: Role differentiation emerged based on problem domains - Data Analysts: Business questions + visualisation - Data Scientists: Predictive modelling + experimentation - Data Engineers: Infrastructure + pipeline reliability 2020: Each role had clear value propositions, different skill requirements, separate career ladders 2025: AI reshapes how each role works but doesn't blur role boundaries. The GRC industry is where data was in 2010. Everyone's a "GRC professional" with unclear boundaries between roles and GRC Engineering is adding to the confusion for some. What we can learn from data's evolution: Role Clarity Drives Industry Maturity Data teams stopped hiring "data generalists" and started hiring for specific capabilities. When you know whether you need pipeline engineering or statistical modelling, you hire accordingly. AI Augments Roles, Doesn't Replace Them AI eliminates mundane tasks but hasn't cracked cross-team collaboration. The human layer becomes more valuable, not less. Domain expertise with AI commands higher salaries than AI skills alone. Technical Depth Varies by Problem Domain A Data Analyst doesn't need Kubernetes knowledge. A Data Engineer doesn't need PhD-level statistics. Both are "technical" in different ways. AI tools lower barriers but don't change role fundamentals. Specialisation Enables Scale Once roles clarified, data teams could build complex systems. Each specialist could go deep in their domain whilst collaborating effectively. That's what allows your program to scale. Industry Respect Followed Role Definition Data went from "spreadsheet people" to strategic business function once roles and value became clear. The GRC parallel is obvious: GRC Analyst (Business intelligence + reporting) Performing control testing and audit prep, visualising risk data, supporting TPRM efforts GRC Engineer (Infrastructure + automation) Building data pipelines, control automation, integration between security and compliance systems. GRC SME/Principal (Strategy + predictive insights) Programme architecture, risk-driven GRC design and orchestrating initiatives. Different problems. Different skill requirements. Different career trajectories. Everyone shouldn't be a GRC Engineer but most GRC professionals should leverage GRC engineering principles as laid out in the manifesto. Just as data analysts use AI tools without becoming data scientists, GRC analysts can apply engineering thinking without writing Python. GRC Engineers won't replace GRC Analysts the same way Data Engineers aren't replacing Data Analysts. When the GRC industry achieves role clarity, we'll see the same transformation data experienced organically. Exciting times! #GRCEngineering #SystemsThinking

We're excited to share our latest customer case study with Chime. It talks about how they've scaled production "AI engineering" by empowering domain experts and engineers to collaborate. Chime is the #1 most-loved banking app, serving millions of members with a mission to deliver helpful, transparent, and fair financial services. They went public last year as CHYM. Going back to 2024, their AI team set a clear goal: scale production AI use cases across the company without compromising quality. This was especially important in a regulated environment where trust and accuracy aren't negotiable. Most teams hit a wall here. Domain experts know what "good" looks like, but all changes go through engineering. Iteration often slows to a crawl as a result. Chime broke through by rethinking who owns what. Engineering builds the pipelines, and domain experts own prompt performance, evals, and ground truth. The two groups work in parallel, not in sequence. And as a result, they've been able to do more with AI to better serve their members. Chime has now scaled production AI across a range of use cases. In just one financial crimes example described in the case study, they achieved: ✅ 40% efficiency gains ✅ 99%+ quality scores, outperforming human agents ✅ Millions of $$ in OpEx savings ✅ Domain experts running evals and shipping prompt improvements independently Huge credit to the Chime team for building a true cross-functional AI practice -- and for showing others how it can be done. We're proud that Freeplay serves as the ops layer where their Engineering, Product, and Operations teams collaborate. If you're scaling AI in a complex domain and want to see what's possible when you empower domain experts alongside engineering, the full case study is in the comments. 👇

A common partnership snafu is that companies want partnership success, but don’t provide the resources to get there. I heard of a case where a whole marketing team quit, the partnerships team was given no marketing support, and they didn't yet have an integration with product -- and yet, the CEO expected the partnership strategy to deliver instant revenue. Wild. But not uncommon. Partnerships can't thrive in a vacuum. They need cross-functional support—marketing, product integration, sales enablement—all aligned to succeed. Before you set revenue targets for your partnerships, ask yourself: Do we have the resources to support them? If the answer is no, you have to help your leadership teams to reconsider their expectations. To help create the cross-functional support needed for partnerships to thrive, here are four strategies: 1. Involve Cross-Functional Leaders from the Very Beginning Bring key leaders from marketing, sales, and product into the partnership planning phase. Early involvement gives them a sense of ownership and ensures they understand how partnerships align with their own goals. Strategy: Schedule a kick-off meeting with stakeholders from each relevant department. Create a shared roadmap that outlines how partnerships will impact each team and their specific contributions. 2. Tie Partnership Success to Department KPIs To gain buy-in, tie partnership goals directly to the KPIs of each department. Aligning partnership outcomes with what each team is measured on ensures they have skin in the game. Strategy: During planning sessions, ask each department head how partnerships can contribute to their targets. Build specific KPIs for each function into the overall partnership strategy. 3. Create a Resource Exchange Agreement Formalize the support needed from each department with a resource exchange agreement. This sets clear expectations on what each function will contribute—whether it's a dedicated product team member for integrations or marketing resources for co-branded campaigns. It turns vague promises into commitments. Strategy: Draft a simple document that outlines the roles, responsibilities, and deliverables each team will provide, then get sign-off from department heads and the executive team. 4. Demonstrate Early Wins for Buy-In Quick wins go a long way toward securing ongoing resources. Identify a small pilot project with an internal team that shows immediate impact. Whether it's a small co-marketing campaign or a limited integration, these early successes build momentum and demonstrate the value of supporting partnerships. Strategy: Select one or two partners to run a pilot with, focused on delivering measurable outcomes like leads generated or product adoption. Use this success story to demonstrate value to other departments and secure further commitment. Partnership success requires cross-functional alignment. Because partnerships don’t happen in a silo.