PMO Best Practices

After designing hundreds of business dashboards, I keep coming back to these four patterns: Tall + Scrolly Stack everything vertically, organized by metric family, and let people scroll to their level of depth. Best for mobile viewing and email delivery with basic chart types that doesn't require instructions. Where I've seen this work: New product/feature introductions where audiences are different levels (executive to operators) and functions. BANs + Decomp Big numbers that focus attention and breakdowns that show differences. For when you've identified the important metrics, but want to show segment granularity. Switch group-by dimension while maintaining familiar layout. Where I've seen this work: Operational monitoring for teams that have ownership of metric outcomes. Sankey + Wide Table Flow diagram establishes a map of the whole system and reference tables show details. For diagnosing conversion and retention patterns across nodes and segments to know where to optimize. Where I've seen this work: Growth teams figuring out behavior across complex funnels and overlapping segments. Potential Show what you could be delivering versus what you're actually delivering. Makes the gap between current performance and available capacity visible. Where I've seen this work: Operational teams that have a clear action to take, but limited time. What each of these have in common: - Establish big picture awareness, but direct small picture action (think global, act local) - Strengthened by KPI ownership - Act as a prioritization mechanism Organizations often start with one dashboard trying to serve everyone, then evolve into multiple dashboards with different patterns for different groups. The more established the business, the more discrete the problems being solved are. That means early on, you go from optic oriented communications to more optimization oriented direction. I've found that organizations lack a portfolio strategy for their analytics interfaces, they take templates from one context and try to apply them to another OR they try to combine use cases together into a singular dashboard because they only have budget for one but multiple stakeholders with different needs, so they get a flying-boat-car of compromises. Some data work and analytics are going to be a cost of doing business, like reporting that just keeps everyone informed. While other data work is a strategic bet. The challenge is that some analytics deliver hard value you can measure in dollars, while others provide soft value like better collaboration and shared understanding that's difficult to quantify. Most organizations don't think about this mix deliberately. #dataAnalytics

You just became a PMO Leader. Congrats! You're about to fall into the "pit" that derails 80% of new PMO leaders in their first year. I've seen it happen dozens of times. Smart people. Great credentials. They cross the "PMO Chasm" and start sprinting. They confuse motion for action. Activity for achievement. Here's what happens: • Schedule 12 meetings nobody reads • Yes to every request, no dependencies • Build 40-slide intake, sits in SharePoint • Hire analysts, task them with dashboards • Launch governance before anyone knows you 6 months later: The vision is undefined. Stakeholders are confused. The needle hasn't moved. The PMO is failing. You can avoid this. Here's how: 1. Define success before you build anything Book a 90-minute working session with your exec sponsor in week 1. Walk out with 3-5 measurable outcomes for year one. Example: "Reduce project overruns by 30%" or "Kill 20% of active initiatives to fund strategic bets." Document it. Share it. Reference it monthly. 2. Map your stakeholders early Create a simple spreadsheet: Name, Role, What they need from the PMO, Influence level. Schedule six 30-minute coffee chats in your first 30 days. Ask: "What's broken today?" and "What would make your life easier?" 3. Start small and prove value fast Pick one problem that's costing real money or blocking a visible initiative. Example: If project status is unclear, create a single-page status format and pilot it with one VP's portfolio for 60 days. Show before/after. Let them sell it for you. 4. Build governance that people actually use Start with one decision: "How do we choose which projects get funded?" Run a live prioritization session with 5-7 leaders using a simple scoring model (strategic fit, ROI, risk). Make one real decision in the room. Document the criteria. Repeat monthly. 5. Create feedback loops from day one Set up a recurring 30-minute monthly check-in with 4-5 key stakeholders. Use a simple format: "What's working? What's not? What should we try next?" Track themes in a doc. Adjust your roadmap based on what you hear. The "pit" is real. But it's avoidable. What's the first thing you'd do in a new PMO role? 👍 + ♻️ Like + Repost to help PMOs win! 🔔 Follow me (Hussain Bandukwala) for more content like this.

Most teams polish visuals. Few design the thinking. That’s why dashboards often look fine — but explain nothing. Try this flow instead: 1) Structure metrics – map relationships, drivers, and shared definitions. 2) Define purpose – clarify what decisions it supports. 3) Build & format – choose charts that mirror logic. 4) Add context – if-then prompts, comparisons, slices, thresholds. 5) Maintain & evolve – track usage, prune, update. Pretty dashboards inform. Logical dashboards explain. Save this for your next redesign.

You wouldn’t go to the shop every day just to buy ONE egg… You’d grab a pack of six to save time, effort and money. So why are recruitment agencies still running inefficient, repetitive processes every single day? Most agencies waste hours on manual tasks, outdated workflows, and admin that could be streamlined. A simple process mapping exercise can fix that. Here’s how: 1️⃣ Survey your team. -How accurate and reliable is the data? -What’s slowing them down? -What tech features do they rely on, and what frustrates them? 2️⃣ Run a deep-dive workshop. -Break down client & candidate management step by step. -Identify bottlenecks in area such as job workflows, timesheets, and redeployment. -Spot manual tasks that could be automated. 3️⃣ Create a roadmap for efficiency. -Prioritise automation & workflow improvements. -Build better reporting and analytics. -Ensure your tech stack is actually working for you, not against you. We recently helped an agency cut their job-to-placement time by 30%, just by optimising their Bullhorn setup and eliminating unnecessary admin. More efficiency = more placements = more revenue. If you wouldn’t buy eggs one at a time… why run your recruitment processes that way? When was the last time you audited your workflows? 👀

How GCC Leaders Can Improve Work Execution to Drive Employee Experience, Productivity, and Quality Most GCCs focus on scaling operations and cost efficiencies, but the best leaders go beyond that. They rethink how work gets done—removing inefficiencies, empowering employees, and ensuring quality outcomes. Here’s what truly moves the needle: 1. Fix Process Inefficiencies and Automate the Obvious Too many GCCs still replicate HQ processes instead of optimizing for agility. Identify bottlenecks, eliminate redundant approvals, and automate manual tasks—especially in IT, HR, and finance. Workflow automation can cut task times in half. 2. Align Teams Across Time Zones with Outcome-Based Execution Global teams struggle with coordination, leading to handover gaps and rework. Instead of micromanaging, real-time dashboards, and clear outcome ownership. Focus on customer impacting outcomes not effort. 3. Empower Employees with the Right Tools and Autonomy A poor employee experience leads to low engagement and productivity loss. Give teams self-service analytics, knowledge bases, and low-code/no-code tools to solve problems independently. Cut meeting overload and encourage deep work time. 4. Prioritize Learning, Growth, and Cross-Functional Expertise GCCs shouldn’t just execute work—they should drive innovation. Invest in technical upskilling, global mobility programs, and leadership rotations to create a future-ready workforce. 5. Governance Without Bureaucracy Traditional governance models slow down execution. Instead of rigid top-down approvals, implement agile decision-making frameworks and RACI models that balance control with speed. GCC leaders must shift from process execution to work transformation—optimizing workflows, leveraging AI, and making employee experience a top priority. The results can be significant: • 15-30% productivity gains by automating and streamlining workflows. • 10-25% cost savings through elimination of reduntang processes, process efficiencies and automation. • 20-40% improvement in employee engagement by reducing friction in daily work. • 20-50% faster execution of key projects by reducing delays and dependencies. • 25-50% fewer errors through improved governance and automation.

I build dashboards backwards. And they work 3x better than the "right" way. Last year, a retail client asked for a "comprehensive analytics dashboard." They had a 47-page requirements doc. Every metric you could imagine. I threw it in the trash. Instead, I asked one question: "What decision do you make every Monday morning?" "Whether to restock our top 10 SKUs," the CEO said. That's it. That became the entire dashboard. One number: Days of inventory remaining. One visual: Red/yellow/green by SKU. One button: Generate purchase order. The data team was horrified. "Where's the YoY comparison? The regional breakdowns? The predictive models?" Here's what happened: **Traditional approach (their previous dashboard):** • 6 weeks to build • 23 different views • Used 4 times in 3 months • Zero decisions changed **My backwards approach:** • 3 days to build • 1 view • Used 5 times per week • Prevented 2 stockouts in first month alone The difference? I started with the decision, not the data. Most dashboards fail because we build what's possible, not what's needed. We show off our technical skills instead of solving business problems. My backwards process: 1. Identify the decision (not the data) 2. Find the minimum viable metric 3. Make the action obvious 4. Stop. Just stop adding things. That retail client? They saved $50K in lost sales from stockouts in Q1. Not because of fancy analytics. Because someone could actually use the damn thing. The best dashboard isn't the one with the most features. It's the one that gets opened every morning. What's the one metric that actually drives your business decisions? #DataVisualization #DashboardDesign #BusinessIntelligence #DataStrategy #PowerBI

The biggest dashboard mistake? Saying yes too fast. I've built 50+ dashboards and learned this the hard way. Every "yes" has a hidden cost. Younger me: "Let's Build!" Me Now: "Can I ask a few questions first?" Here's what saying yes too quickly costs: → Development time: 8-40 hours per dashboard → Maintenance: 2-4 hours monthly per dashboard → Dashboard sprawl: Users can't find what they need → Opportunity cost: Time not on high impact projects I like to approach every request as a strategic partner, not just a tool builder So before building, I ask: 1. What decision does this enable? If we don't understand the current pain points and desired reality, I think we know where the dashboard is headed 🪦. 2. Does something already exist? Before building new, audit what's there. The solution could be improving what exists and what people already use, instead of starting from scratch 3. How does this tie to business KPIs? If it doesn't connect to the team or business goal, step back and clarify the actual need 4. Is the data reliable? If the underlying data is messy or incomplete, do the limitations of the data outweigh producing a dashboard? 5. Is a dashboard even the right solution? Maybe they need: → An alert threshold system. → An automated weekly email. → A solution with AI to target insights These questions give me confidence we're building what clients need, not what we assume they want. ♻️ Repost if you found this useful

Everyone says PMOs should be lean. I say: most PMOs are too lean to function. They’re flat, fragile, and frustrating. No structure. No clarity. Just chaos in disguise. I’ve worked with PMOs of all shapes and sizes. Here’s what I see far too often: - A single PMO lead juggling strategy, planning, reporting, and governance - No separation between delivery support and portfolio oversight - Everyone’s a firefighter, no one’s a planner - Tools are underused. Templates sit untouched. Progress reports are late—or skipped And the worst part? Executives don’t see the value. Because value delivery needs structure—not just effort. Whether you’re a team of 2 or 20, the best structure divides ownership across three clear layers: 1. Strategic Layer - Focus: Aligning projects to business goals - Roles: PMO Director, Portfolio Manager Why it matters: This layer ensures your PMO isn’t just delivering—it’s delivering what matters. 2. Tactical Layer - Focus: Converting strategy into coordinated execution - Roles: Program Manager, PMO Analyst Why it matters: This is your engine room. It keeps work prioritized, resourced, and on track. 3. ️ Operational Layer - Focus: Enabling tools, processes, and reporting -Roles: PMO Coordinator, PPM Admin, Reporting Lead Why it matters: They keep the lights on, the data flowing, and the dashboards credible. This structure isn’t just for big teams. Even if you’re small, the layers still apply—just with shared roles and part-time hats. Here’s how to apply the three-layer model—even if you’re a 3-person team: 1. Sketch your PMO tasks across the Strategic, Tactical, and Operational layers 2. Assign owners—even if someone wears two hats 3. Communicate the model to sponsors and project teams 4. Use it to identify gaps—so you can build a stronger business case for support It’s not about job titles. It’s about visibility, focus, and balance. Why This Matters Without structure: - Governance dies - Prioritization drifts - You become the admin desk instead of the value driver But with structure: - Your PMO is seen - Your PMO is trusted - Your PMO delivers If your PMO feels chaotic, the solution might not be more people. It might be better structure. 🔁 Follow me for more practical PMO frameworks. And if this sparked an idea, repost it so more PMOs stop flying blind. #PMO #ProjectManagement #JBFConsulting

📌 Most Dashboards Fail Because of Bad UX Here’s the hard truth: You can have the cleanest data and the most advanced models… But if your dashboard is confusing, cluttered, or hard to navigate? Nobody will use it. BI isn’t just about data. It’s about experience. Dashboards are in fact UX products and should be treated that way. Great dashboards don’t just “show data.” They guide attention. Simplify decisions. Reduce friction. And just like any great product, they follow strong UX principles: → Clear layout → Logical flow → Minimal cognitive load → Built for the user, not the developer Let’s break down the 3 dashboard principles that make this possible 👇 1️⃣ 𝐃𝐞𝐬𝐢𝐠𝐧 𝐖𝐢𝐭𝐡 𝐭𝐡𝐞 𝐄𝐧𝐝 𝐔𝐬𝐞𝐫 𝐢𝐧 𝐌𝐢𝐧𝐝 This is where most dashboards go wrong. They’re built from a technical perspective and not a business one. Before touching a single chart, ask: → Who is this dashboard for? → What do they care about? → What action do they need to take from it? → What single question should this dashboard answer? If a dashboard tries to do everything for everyone, it ends up doing nothing for anyone. Treat your dashboard like a product. Build it around one user persona and one decision-making flow. 2️⃣ 𝐆𝐮𝐢𝐝𝐞 𝐭𝐡𝐞 𝐄𝐲𝐞 𝐰𝐢𝐭𝐡 𝐚 𝐂𝐥𝐞𝐚𝐫 𝐋𝐚𝐲𝐨𝐮𝐭 A great dashboard feels effortless to use. You don’t need to explain how to read it because it guides the user by design. Here’s how to do it: 1) Follow a natural reading pattern (top-left to bottom-right) 2) Use consistent spacing, alignment, and visual hierarchy 3) Group related charts and KPIs together 4) Avoid visual noise (limit to 5–7 key visuals per view) Think of your dashboard like a story It should unfold logically and lead the user to an insight without them having to look for it. 3️⃣ 𝐔𝐬𝐞 𝐭𝐡𝐞 𝐑𝐢𝐠𝐡𝐭 𝐕𝐢𝐬𝐮𝐚𝐥 𝐟𝐨𝐫 𝐭𝐡𝐞 𝐉𝐨𝐛 Just because you can use a radar chart or sunburst doesn't mean you should. The best dashboards use simple, familiar visuals that communicate clearly. Here’s a cheat sheet I use: ⤷ To show progress or results → Use Scorecards or KPIs ⤷ To show trends over time → Line Charts or Area Charts ⤷ To compare parts of a whole → Pie Charts or Bar Charts ⤷ To analyze distributions → Histograms or Bell Curves ⤷ To show multivariate complexity → Heatmaps, Bubble Charts, or Pivot Tables Here what you need to remember is prioritizing clarity over creativity. Your dashboard isn’t a dribble a piece of art. It’s a decision tool. The bottom line is: Dashboards aren’t “data displays.” They’re interfaces for decision-making. And just like a product interface, design is everything. ☑ Good UX = Faster insights ☑ Good flow = Higher adoption ☑ Good visuals = Better decisions Build with purpose. Structure with clarity. Design for people. That’s how Business Intelligence becomes actual business impact. #DataStrategy #BusinessIntelligence #DataAnalytics