Project Management Templates

I've built dashboards for 100+ companies. These are the 10 that actually get used. Not the ones that look pretty in a presentation. The ones leadership opens every month without being asked. Big difference. Let me walk you through them. → Summarized P&L, Balance Sheet, and Cash Flows The big three. Custom mappings across any time period. If your leadership can't see these in one view, you're making them work too hard. And trust me, they'll let you know. → Budget vs Actuals This is where the real conversations happen. Variances, trends, what's off and why. I've never worked with a company that didn't need this one. Not once. → KPI Dashboard The 8 metrics that actually matter. Compared against prior period and prior year. No fluff, no vanity numbers. Just the stuff people make decisions with. → Comparison Financials P&L with custom mappings against prior period and prior year. One glance tells you if things are getting better or worse. Your board will love you for this one. → Profit Margins Gross, operating, net. All in one place. If you're not tracking margin trends, you're flying blind. I learned this the hard way early in my career. → Executive Summary Dashboard P&L and cash flows with custom commentary. This is the one the board actually reads. Everything else? They skim. This one they study. → Cash Out Dashboard Projected cash out date, current cash, monthly burn, runway remaining. If you're a startup, this one isn't optional. It's survival. → SaaS Metrics MRR, ARR, churn, retention. If you're running a subscription business, these numbers run your life. You probably check them more than your text messages. Here's the thing most finance teams get wrong. They build way more dashboards than anyone needs. Dozens of tabs, fancy charts, color everywhere. Then wonder why nobody looks at them. Start with these 10. Add more only when someone actually asks. You'll be surprised how rarely that happens. Now here's the thing. Even if I gave you all 10 templates right now, you'd still spend hours importing data, fixing formulas, and making sure everything ties. I've been there. It's painful. That's why I built Model Wiz. It's a free Excel add-in that connects to your QuickBooks, pulls your data automatically, and generates all 10 dashboards with one click. No manual imports. No broken formulas. Just your numbers, ready to go. Which dashboard does your team rely on most?

Defining business-relevant KPIs for your dashboard can be a tricky task. Here is an example I encountered in my early career: 🎯 We were tasked with building a status dashboard for the warehouse management of a large e-commerce company. Together with the stakeholders, we identified the backlog in days as an important KPI that helps them decide on their capacity planning. The backlog should show a relationship between the unprocessed order pool and the next day's average daily processing capacity. We were happy to find an outbound backlog metric ready to be used in our BI system. After a quick review over several days, it looked like we had just found what we needed, so we included the metric in our dashboard. 🚨 Shortly after, our stakeholders complained that the numbers were extremely off compared to the business reality. We soon figured out that while the open order pool items were correct, the assumed average capacity was not. The BI system only contained the actual processed volumes instead of the planned future capacities. Due to the volatile nature of e-commerce, this definition difference of past vs. future values could lead to a completely opposite representation of the current backlog. With one definition, we showed a dramatic backlog of over 5 days, while the correct one would have been a healthy 0.5 days. 🔧 We were able to fix the metric by implementing a process to upload the planned capacities. 𝗟𝗲𝘀𝘀𝗼𝗻𝘀 𝗹𝗲𝗮𝗿𝗻𝗲𝗱: 1. Always check with the stakeholders to understand how they interpret the KPI.     2. Never assume that the number looks good. Check the definition, and if you are unsure, build your own metrics.     3. If you must choose between different definitions, choose the ones that best align with the stakeholder's decision. What challenges did you encounter when defining KPIs? Share your experience in the comments! ---------------- ♻️ 𝗦𝗵𝗮𝗿𝗲 if you find this post useful ➕ 𝗙𝗼𝗹𝗹𝗼𝘄 for more daily insights on how to grow your data analyst career #dataanalytics #datascience #kpis #stakeholdermanagement #dashboards

Most billing dashboards show numbers. This one shows structure. Instead of forcing users to read through tables or guess proportions, the design answers two questions instantly: What’s the total billing? Where is it coming from? Here are the intentional design decisions that make this work: 1. Total anchored at the center: The total sits in the middle- exactly where the eye goes first. Users don’t need to calculate anything. The main KPI is established before the breakdown even begins. 2. Visual hierarchy shows contribution instantly Example: Surgery has the largest arc, followed by Consultation, then Diagnostics. Even without numbers, the ranking is obvious. That’s good hierarchy doing its job. 3. Color builds association, not decoration: Each category has one clear color repeated across icon and segment. No gradients. No unnecessary accents. Color helps recognition, not distraction. 4. Legend acts like a precision layer: The right panel doesn’t just name categories- it shows exact dollar values. Executives get a quick scan. Finance teams get accurate numbers. One layout serves both. This KPI focuses on distribution- not trends, not comparisons, not growth. Because the scope is clear, the message stays strong. Love this? Follow #TheVisualBreakdown and hit the bell so you don’t miss the next one

🚀 Power BI: Adding Custom Tooltips to KPI Cards! While exploring Power BI capabilities, I discovered a creative workaround to add detailed tooltips to KPI cards - something that's not natively supported! The Challenge 🎯 Standard KPI cards in Power BI lack the ability to show comprehensive tooltip information, limiting user interaction and data exploration. My Solution 💡 I developed a custom HTML-based approach that transforms regular KPI cards into interactive, information-rich components: ✅ HTML-Wrapped DAX Measures: Converted standard measures into HTML format for enhanced styling ✅ Dual Theme Support: Implemented both light and dark modes for better user experience ✅ Dynamic Theming: Created a separate theme table with all color variations ✅ Rich Tooltips: Added detailed breakdowns including Monthly Recurring Revenue, One-time Sales, and Refunds Key Features 🌟 Responsive Design: Adapts to different screen sizes Theme Consistency: Seamless light/dark mode switching Enhanced UX: Detailed information on hover without cluttering the main view Professional Styling: Clean, modern card design with gradients and shadows Implementation Highlights 🔧 // Theme table with comprehensive color schemes Theme = DATATABLE( "ThemeMode", STRING, "ColorType", STRING, "ColorValue", STRING, // Light & Dark theme definitions... ) Important Consideration ⚠️ While this solution works effectively, be mindful of the HTML card container's width as it can overlap with other visuals. Proper positioning and sizing are crucial for optimal user experience. Results 📊 ✨ Enhanced user engagement with interactive KPI cards ✨ Better data storytelling through rich tooltips ✨ Professional, modern dashboard appearance ✨ Improved accessibility with theme options This approach opens up new possibilities for creating more engaging and informative Power BI dashboards. Sometimes the best solutions come from thinking outside the box! Share your experiences in the comments! #PowerBI #DataVisualization #BusinessIntelligence #DAX #HTML #DataAnalytics #Innovation #Dashboard #Microsoft #DataScience

*****Executive CISO Dashboard – Top 15 Cybersecurity KPIs Explained***** This is a comprehensive executive reference designed to help Chief Information Security Officers (CISOs) measure, implement, monitor, and report the most critical cybersecurity performance indicators. The layout is presented in a professional, boardroom-style format with a dark blue theme, organized as a structured table containing six major columns: KPI, Description, Implementation, Identification/Measurement, Process, and Reporting. The dashboard covers 15 essential cybersecurity KPIs that represent the core pillars of an enterprise security program. These include Enterprise Cyber Risk Score, Critical Vulnerabilities, Patch Compliance, Mean Time to Detect (MTTD), Mean Time to Respond (MTTR), Mean Time to Recover (MTTRc), MFA Coverage, Privileged Account Protection, Zero Trust Maturity Score, Cloud Security Posture Score, Ransomware Readiness, Third-Party Risk Score, Backup & Recovery Success Rate, Security Awareness (Phishing Click Rate), and Compliance & Audit Status. Each KPI is accompanied by a concise explanation describing its business purpose, practical implementation guidance, measurement methodology, operational processes, and recommended reporting frequency. The Implementation column explains how organizations should deploy controls such as SIEM, EDR, PAM, vulnerability scanners, cloud security platforms, backup solutions, identity governance, and Zero Trust architectures. The Identification/Measurement section outlines how each KPI is calculated using quantitative metrics including percentages, averages, compliance scores, maturity models, and risk ratings. The Process column summarizes ongoing operational activities such as continuous monitoring, threat detection, vulnerability remediation, policy enforcement, periodic reviews, incident response, backup validation, phishing simulations, and compliance audits. The Reporting column recommends reporting frequencies ranging from weekly and monthly operational reports to quarterly board presentations and annual strategic reviews. At the bottom, the infographic includes additional guidance on how to use the dashboard, emphasizing continuous KPI monitoring, risk-based decision making, resource prioritization, and accountability to executive leadership. A Cybersecurity KPI Maturity Model illustrates the progression from an initial security posture to an optimized and continuously improving program. The Best Practices section highlights governance, automation, data quality, accountability, and effective executive communication. Finally, a Reporting Cadence summarizes operational, performance, strategic, and annual reporting cycles, enabling CISOs to communicate cybersecurity posture effectively to executive management and the Board of Directors while aligning cybersecurity investments with business objectives and enterprise risk management.

At the end of every quarter, Sandra has the same challenge. As the Commercial Analytics Lead at Nestlé Nigeria, she's responsible for preparing performance reports for management. The problem isn't the reporting itself. The problem is that the data comes from different regions. For Q1, sales reports arrived from the North, South-West, and South-East regions as separate CSV files. Each region maintained its own report, which meant slight differences in formatting, naming conventions, and data quality. Before management could answer questions like: • Which region generated the most revenue? • Which products performed best? • Who were the top-performing sales representatives? • How did revenue trend throughout the quarter? The data first had to be prepared. This project started with three regional sales datasets. Using Power Query, I imported the files, standardized the structure, corrected data types, cleaned inconsistencies, and appended all three datasets into a single master table. Once the foundation was in place, I created additional fields to support analysis, including: • Revenue • Profit • Profit Margin • Week Number • Month Name • Performance Indicators With the transformed dataset ready, the next step was analysis. Before building any visuals, I summarized the data using PivotTables to identify the key insights and answer the business questions that mattered most. Only after the analysis phase did I move into dashboard design. I wireframed the layout, defined the KPI structure, selected the appropriate visualizations, and built an interactive dashboard featuring: • Revenue, Profit, Quantity, and Transaction KPIs • Revenue by Channel and Category • Top Performing Sales Representatives • Best Selling Products • Weekly Revenue Trends • Interactive filters for Region, Month, and Sales Representative What began as three separate CSV files became a centralized reporting solution capable of delivering insights in seconds. One lesson I keep reinforcing in my classes: Most people think dashboards start with charts. They don't. Dashboards start with clean data, a structured process, and the right business questions. Tools Used: Excel, Power Query, PivotTables, PivotCharts, Slicers, Dashboard Design #DataAnalytics #Excel #PowerQuery #BusinessIntelligence

Most businesses drown in metrics. Too many KPIs. Too many dashboards. Too much noise. The result? • Teams lose focus • Leaders chase symptoms, not signals • Time is spent updating charts, not solving problems Here’s the truth: You don’t need more data. You need the right few metrics that actually drive performance. Here’s a simple 5-step approach I use to help teams cut through the clutter: 1. Inventory everything – List all the metrics, who uses them, and why. 2. Map to purpose – If it doesn’t support a decision or priority, kill it. 3. Identify the vital few – Pick 3–5 metrics per function that truly move the needle. 4. Build a tiered system – Align top-level KPIs to functional and front-line measures. 5. Eliminate, consolidate, automate – Make room for insight, not reporting theater. Bonus Tip: Run a quarterly “Metric Clean-Up” session—if a metric doesn’t drive action or decision-making, it’s a candidate for retirement. Leading vs. Lagging Check: Ask yourself: Does this metric help us influence the future (leading)? Or just tell us what already happened (lagging)? If your dashboard is 90% rearview mirror, it’s time for a redesign. More focus = better execution. Want help finding your “critical few”? Let’s talk. #BusinessOperatingSystem #KPIs #ContinuousImprovement #Leadership #LeanThinking #Execution #SimplifyToScale #OperationalExcellence #DataDrivenDecisions #BOS #LeadWithMetrics

How this dashboard makes KPIs impossible to ignore — by Kajal Kadam ⚡ What I love here: it doesn’t show “a KPI,” it shows the same KPI from different angles—YoY, vs Target, vs Baseline Year, Sales vs Profit—so leaders can pick the lens that answers today’s question. Standout patterns across the board Clear primary cards for the headline (value + YoY + sparkline). Comparative cards for vs Target and vs Baseline so you see both tactical and strategic gaps. Small-multiples to scan KPIs left→right without hunting for context. Spotlight: the KPI card with color bars (vs Target, Baseline, Previous Year) This one’s the MVP for decision speed: Three stacked bars (Target, Baseline, Previous Year) with the current value overlaid—instant visual ranking. Color tells status, not style: one accent for “current,” muted benchmarks for the rest. Dual deltas (%, absolute) next to each comparison so you know both magnitude and money. Consistent scale across bars—no optical tricks—so up/down is truth, not decoration. Why this matters You don’t waste cycles arguing about which number is “right.” You see where you are, where you aimed, and where you’ve been—on one card—then decide the next move. Bravo, Kajal. This is KPI storytelling done right. 👏 #Tableau #KPI #DashboardDesign #DataViz #ExecutiveReporting #BaselineVsTarget #YoY #AnalyticsToAction

Business leaders don’t open a dashboard to admire charts. They open it to answer three things fast: → Are we okay? → What changed? → Where do I act? This one by Alice McKnight, MPH actually respects that. 1️⃣ First — it answers “are we okay?” in about two seconds. The five tiles are the five levers that run a retail business: Sales, Profit, Margin, Volume, Demand. Not vanity metrics. Not 18 KPIs. Just the operating heartbeat. I don’t have to hunt across tabs or remember definitions. My eyes scan left-to-right and I immediately know performance: revenue down, profit down, volume slightly down, margin up. That already tells a story: pricing or mix improved but demand softened. 2️⃣ Second — it shows change, not just numbers. Every card gives me comparison context (PM + MoM). That’s critical. A number without direction is useless to a decision-maker. $8,656 profit means nothing. “-10.7% MoM while sales -28%” means efficiency improved. Now I’m thinking causes, not values. 3️⃣ Third — trend before detail. The mini time series under each KPI is extremely smart. Executives don’t want tables first. We want pattern recognition first. One glance tells me whether this month is noise or part of a trajectory. Example: orders trending up but sales down → average order value fell. I didn’t calculate that. The dashboard made me notice it. Fourth — built-in diagnosis, not just reporting. The ranked segments at the bottom are gold. Instead of making me click 4 filters, it already answers the first management question: “which customer group is doing this?” So now decisions form naturally: → Consumer drives volume → Corporate losing profit → Home Office high margin but low scale This is the difference between analytics and business thinking, it points me toward action without asking me to explore. 5️⃣ Fifth — interaction is purposeful. “Use bar charts to filter by region” is exactly the right level of optional depth. I can stay high level or drill instantly. No extra navigation, no context switching. Executives hate leaving the page they trust. 6️⃣ Sixth — cognitive load is low. Consistent layout across all cards means my brain learns once and reads five times. Same structure: value → change → trend → drivers. I never re-interpret the UI. That’s why it feels fast. Why this matters commercially: → A good dashboard reduces meetings. → A great dashboard reduces arguments. This one creates shared understanding quickly enough that people will talk about decisions instead of definitions — and that’s the real ROI of BI.