Performance Metrics Dashboards

Your dashboards are green but your problems keep getting worse. You're tracking revenue per employee, units produced, and efficiency percentages. All trending upward. But customers still complain about quality. Equipment still breaks down unexpectedly.   Operators still struggle with changeovers. Here's why most metrics miss the mark: They measure what happened yesterday. Not what will happen tomorrow. They focus on outputs. Not the inputs that create those outputs. These 8 KPIs actually predict and prevent problems: 1. OEE (Overall Equipment Effectiveness) Shows equipment reality, not just availability 2. First Pass Yield Reveals true process capability 3. Total Cost of Quality** Captures the real price of problems 4. Employee Suggestion Implementation Rate Measures engagement that drives improvement 5. Setup/Changeover Time Determines your flexibility advantage 6. Supplier Quality Performance Prevents problems at the source 7. Safety Leading Indicators Predicts incidents before they happen 8. Customer Complaint Resolution Time Shows responsiveness that builds loyalty Each metric drives specific behaviors. OEE pushes systematic waste elimination. First Pass Yield forces quality at the source. Cost of Quality makes prevention profitable. The best manufacturing teams measure fewer things. But they measure the right things. And they act on every single number. Stop measuring your past. Start predicting your future. Question for you: If you could only track one KPI for the next 90 days, which would drive the biggest change?

Most CMO dashboards are filled with numbers. Very few are filled with truth. Why? Because they’re built around what’s easy to measure — not what actually matters. Here’s what’s usually there: → ROAS → CAC → CTR → Conversion rate → AOV Here’s what’s usually missing: → Branded search lift → Unaided recall → Organic social velocity → Retail sales in geo-campaign zones → Amazon session share post-campaign → Influence of upper-funnel creative on lower-funnel performance If your dashboard only tracks click-based outcomes, you’re flying blind to the brand impact that actually drives growth. Top brands know this already: 💄 e.l.f. measures the time between TikTok virality and shelf movement 🧼 Dr. Squatch tracks YouTube views → to search queries → to DTC and Amazon sales 🧃 Olipop pairs paid social spend with in-store demo schedules to maximize lift They’ve all figured out one thing: If you only measure what’s easy, you’ll miss what’s essential. Want a modern CMO dashboard? Build one that includes: 📊 Brand KPIs → Branded search volume → Share of voice → Direct traffic growth → Panel-based brand awareness 📊 Performance KPIs → MER → CAC → ROAS → New-to-file % 📊 Retail + Marketplace KPIs → Amazon session share → Store locator usage → Geo-based velocity lift → In-store turns vs. campaign flight windows This is how you earn trust from finance. This is how you influence board decisions. This is how you lead marketing — not just manage it. You don’t need a prettier dashboard. You need a truer one. #CMODashboard #MeasureWhatMatters #OmnichannelMarketing #BrandAndPerformance #ModernGrowthOS

5 Dashboards That You Need To Understand Your Business 📊 The most valuable thing you can learn in business? Understanding your financial statements. But raw financial data can be overwhelming... that's where dashboards come in. Let me show you the 5 essential dashboards that give you CLARITY on what's actually happening in your business... ➡️ KPI DASHBOARD This is your business at a glance. Revenue, COGS, Gross Profit, Gross Margin, Opex, EBITDA, Net Income. The magic happens when you add year-over-year comparisons. Seeing those percentage changes shows you growth patterns raw numbers simply can't. This dashboard answers one critical question: "Are we moving in the right direction?" ➡️ BUDGET VS ACTUALS Budget vers actuals is my favorite report and for a ton of reasons... First, it's beautiful. I get to digest information with both numbers and pretty visuals. Next, it's so informative. Not only do I learn about what happened, but I also learn about how that compares to what I thought was going to happen. The power comes from the variance indicators. Those donut charts? I could stare at them all day. They instantly show me where we're hitting targets and where we need to adjust. ➡️ CASH FLOWS Cash is oxygen for your business. Without it, everything stops. This dashboard breaks down: - Beginning cash position - Cash from operating activities - Cash from investing activities - Cash from financing activities - Ending cash position The monthly view is non-negotiable. Too many businesses with healthy P&Ls go under because they couldn't see the cash crunch coming 90 days out... ➡️ PROFIT & LOSS Your P&L tells you about the profits or losses that your business is generating. It's separated by Revenue, Cost of Goods Sold, Operating Expenses, Other Income, and Other Expenses. Put differently, the profit and loss tells you about the PERFORMANCE of your business. It answers: "How well are we executing?" When you add projections, you transform this historical statement into a powerful planning tool that guides future decisions. ➡️ BALANCE SHEET The most underrated financial statement deserves its own dashboard. Unlike the profit and loss, it's a snapshot in time where all values shown are cumulative. It tells you the POSITION of your company at any moment. The monthly breakdown helps track working capital fluctuations. Watch those accounts receivable... if they grow faster than revenue, you've got a collections problem brewing. Assets, liabilities, owner's equity... this is your financial position in one view. === These dashboards work best in Excel because you can create CONNECTIONS to different files that update with just one click. The best part? Once set up, all you need to do is click ONE button, and everything is done. It's like having an Excel assistant working for you. What financial dashboards are you using to run your business? Anything missing from this list? Join the discussion in the comments below 👇

Power BI for Sales Performance Analysis Boosting Sales with Power BI: A Real-Life Success Story   Scenario: Challenge: Our sales team struggled with tracking performance metrics across different regions and product lines. The data was scattered across various sources, making it difficult to get a unified view.   Solution: We implemented Power BI to consolidate sales data from CRM, ERP, and other systems into a single, interactive dashboard.   Steps: 1. Data Integration:    Used Power BI's built-in connectors to pull data from multiple sources.   Example Query:     let         SalesData = Sql.Database("ServerName", "DatabaseName", [Query="SELECT * FROM Sales"])     in         SalesData     2. Data Modeling:   Created relationships between tables to allow for comprehensive analysis.   Example: Linked sales data with regional data to analyze performance by region.   3. Interactive Dashboards:   Designed dashboards to track key metrics like total sales, sales growth, and regional performance.   Features: Drill-down capabilities, slicers for filtering by date, product, and region.   Impact: Improved Visibility: Sales managers now have a clear, real-time view of performance metrics. Faster Decisions: Quick access to data enabled faster decision-making and strategy adjustments. Increased Sales: Identified high-performing regions and focused efforts on underperforming areas, resulting in a 15% sales increase.     Include screenshots of the Power BI dashboard, before-and-after performance metrics, and user testimonials. Have you used Power BI to transform your sales performance? Share your story in the comments!   #PowerBI #Sales #DataVisualization #BusinessIntelligence #TechInnovation #DataDriven

Most organizations today operate on strategic or investor metrics. In contrast, GTM metrics are more action-oriented and are often referred to as Performance or Operator metrics. Every GTM leader knows the drill: more leads, more revenue, more growth. But here's the thing—how do you measure success when every metric is tangled in a complex web of dependencies? Just look at the tangled mess of KPIs most teams deal with: CAC, LTV, ARR, NRR, expansion funnels, pipeline velocity, customer engagement... you get the picture. Each one tells a different story, and aligning them is like trying to synchronize a dozen moving parts—each essential but pulling in different directions. It's like trying to run a marathon while juggling chainsaws. Take Company A. They had killer customer acquisition but their retention tanked because no one was watching the onboarding metrics—like time to first value and product adoption rates—that should have raised red flags. Company B had sky-high expansion ARR goals but struggled to achieve them, thanks to a clunky product usage experience that turned potential advocates into churn statistics. We’ve all been there—trying to figure out how to connect the dots between acquisition, onboarding, retention, and expansion metrics without losing our minds. And the stakes are high. According to McKinsey, organizations that excel at GTM strategy are 50% more likely to achieve above-average growth rates. That's not a number you can afford to ignore. Now, here's the key to wrangling your GTM metrics: ↳ Break Down Silos: Ensure your teams understand how their metrics impact other parts of the funnel. CAC is sexy until your onboarding costs are out of control, and those dots don’t get connected by accident. ↳ Use Real-Time Dashboards: If investor-level metrics like ARR or CAC payback are distant echoes, your GTM metrics need to scream in real-time. Leverage dashboards that show live metrics across acquisition, retention, and expansion. ↳ Make Metrics Intersect Meaningfully: Focus on the intersections like CAC payback or NRR rather than just isolated numbers. These give you ratios that tell a story, not just individual chapters. ✨ Want to supercharge this? Imagine an AI system predicting which customers are most likely to expand their usage or which are on the verge of churn based on their behavioral data. Tools like this are turning what was once a reactive mess into proactive magic. 🌶️ take: Seriously. The time to CAC payback (i.e., how long it takes to recoup the customer acquisition cost) might look amazing, but if the folks you're bringing on aren’t staying, the metrics are just vanity. It’s lipstick on a pig. So what do you do today? Connect with your data. Start cross-referencing your GTM scorecards like a detective with a conspiracy board.  And don’t let outdated investor metrics fool you into thinking everything is fine.

Founders, it's time to simplify your dashboards. There's no need to overcomplicate KPIs tracking. Reality? You need only 1 dashboard and about 8 metrics. Yes, a lot more than 8 metrics are important to track. But not all of them are the real drivers of your business. If you are looking at more than 8 metrics,  you have not identified what drives your business. Every business is different and your list will vary. Also, keep in mind that your key metrics should be: - Real-time. - Actionable. - And of course, accurate. Here are my all-time favorites. - DAU, 7-day moving average. - MAU, 28-day trailing. - D1 & D14 retention. - K-factor or virality. - DAU / MAU ratio. - Conversion rate. - Payback days. - LTV & ARPU. - CAC / user. Pro tips: -Look at growth in absolute and %. -Drill down by geo (country, region). Every single department in the company needs to understand and track your metrics. -> Sales -> marketing -> ops -> engineering -> product -> finance -> HR 👉A concise (and well-understood) set of metrics ensures internal alignment and enables rapid, informed decisions. 👉A focused dashboard helps to track, but its real power is aligning your entire organization around what drives growth. Do you need a new dashboard for your business? Let's talk.

𝗕𝘂𝗶𝗹𝘁 𝘁𝗵𝗶𝘀 𝗟𝗼𝗼𝗸𝗲𝗿 𝗦𝘁𝘂𝗱𝗶𝗼 𝗱𝗮𝘀𝗵𝗯𝗼𝗮𝗿𝗱 𝗳𝗼𝗿 𝗮 𝗱𝗶𝗴𝗶𝘁𝗮𝗹 𝗺𝗮𝗿𝗸𝗲𝘁𝗶𝗻𝗴 𝗺𝗮𝗻𝗮𝗴𝗲𝗿 𝘄𝗵𝗼 𝗿𝘂𝗻𝘀 𝗰𝗮𝗺𝗽𝗮𝗶𝗴𝗻𝘀 𝗳𝗼𝗿 𝗺𝘂𝗹𝘁𝗶𝗽𝗹𝗲 𝗿𝗲𝗮𝗹 𝗲𝘀𝘁𝗮𝘁𝗲 𝗰𝗹𝗶𝗲𝗻𝘁𝘀 𝘂𝘀𝗶𝗻𝗴 𝗠𝗲𝘁𝗮 𝗔𝗱𝘀 𝗮𝗻𝗱 𝗛𝘂𝗯𝗦𝗽𝗼𝘁. Each week, during client calls, they were manually pulling numbers from multiple platforms to answer simple questions like: What was our CPL this week? How many Sales Qualified Leads did we generate this month? Are our CTRs improving over time? This manual process wasn’t just time-consuming; it was also prone to human error. Worse, everyone was looking at different numbers. That’s when they reached out to me. We worked together to create a dashboard that gave a unified view across projects, with a focus on what mattered most: Leads, SQLs, Spend, CPL, CTR, and Performance trends are viewable daily, MTD, or lifetime. Now their workflow is smoother. No more scrambling for numbers. No confusion. No reporting headaches. Just clarity. These dashboards don’t just make life easier. They bring confidence, save hours each week, and help teams focus on strategy instead of spreadsheets. If you're running real estate (or any client-facing) campaigns and still juggling reports manually… it might be time to go visual. Let's make reporting effortless. #LookerStudio #MarketingAnalytics #PerformanceMarketing #RealEstateMarketing #HubSpot #MetaAds #DigitalMarketingDashboard

We audited 200+ Cloud Dashboards. 80% were flat-out misleading. ☠️🚩 Here’s what no one tells you. Most cloud dashboards are built to 𝐥𝐨𝐨𝐤 𝐜𝐥𝐞𝐚𝐧, not to 𝐭𝐞𝐥𝐥 𝐭𝐡𝐞 𝐭𝐫𝐮𝐭𝐡. They create an illusion of control. While critical issues quietly bleed underneath. Here’s what’s really 𝐠𝐨𝐢𝐧𝐠 𝐰𝐫𝐨𝐧𝐠 behind those pretty graphs: 🔴 1. “𝐄𝐯𝐞𝐫𝐲𝐭𝐡𝐢𝐧𝐠’𝐬 𝐆𝐫𝐞𝐞𝐧” 𝐢𝐬 𝐭𝐡𝐞 𝐛𝐢𝐠𝐠𝐞𝐬𝐭 𝐋𝐈𝐄. Dashboards are full of lagging metrics: CPU, memory, IOPS. We’ve seen teams miss major incidents because dashboards didn’t surface leading indicators like increasing p99 latencies or failed retries creeping up. 🔴 2. 𝐍𝐨𝐛𝐨𝐝𝐲’𝐬 𝐬𝐡𝐨𝐰𝐢𝐧𝐠 𝐲𝐨𝐮 𝐭𝐡𝐞 𝐜𝐨𝐬𝐭 𝐛𝐞𝐡𝐢𝐧𝐝 𝐭𝐡𝐞 𝐠𝐫𝐚𝐩𝐡𝐬. You’ll see usage. You’ll see trends. But not unit economics. One of our clients had a 22% infra cost surge from a single bad config change (totally invisible in the default dashboard.) 🔴 3. 𝐀𝐠𝐠𝐫𝐞𝐠𝐚𝐭𝐞𝐝 𝐦𝐞𝐭𝐫𝐢𝐜𝐬 𝐡𝐢𝐝𝐞 𝐭𝐡𝐞 𝐤𝐢𝐥𝐥𝐞𝐫𝐬. Average CPU across 50 pods looks fine. But 2 of them are throttling nonstop. Dashboards aren’t built to highlight outliers. They bury them. 🔴 4. 𝐒𝐋𝐎𝐬 𝐚𝐫𝐞 𝐮𝐬𝐞𝐥𝐞𝐬𝐬 𝐰𝐢𝐭𝐡𝐨𝐮𝐭 𝐔𝐗 𝐦𝐞𝐭𝐫𝐢𝐜𝐬. 99.95% uptime looks great on paper. But we correlated that with UX logs and found customers were facing 15–30 sec load times during that “healthy” window. 🔴 5. 𝐃𝐞𝐯 𝐟𝐚𝐭𝐢𝐠𝐮𝐞 𝐢𝐬𝐧’𝐭 𝐦𝐞𝐚𝐬𝐮𝐫𝐚𝐛𝐥𝐞 (𝐛𝐮𝐭 𝐢𝐭’𝐬 𝐫𝐞𝐚𝐥). Broken CI jobs. Alert fatigue. Manual rollback chaos. None of it shows up on traditional infra dashboards. You’re bleeding engineering time, and there’s no chart for it. Here’s what we’re now building for every company: ✓ UX Correlation Layers: Connect app performance with actual customer pain ✓ Diff-based Observability: See what changed across infra when issues spike ✓ Cost-to-Feature Maps: Where infra spend is silently draining ROI ✓ Resilience Metrics: Retries, fallbacks, and graceful degradation stats ✓ Human-Centric Dashboards: Burnout, failed deploys, hotfix frequency If your dashboard can't answer why something is degrading (not just that it is), you're running blind. Not observability. Just optics. What’s one dashboard lie you've seen blow up in production?

Key Takeaways: 1) Distinguish KPIs from Metrics: KPIs is a metric- but not all metrics are KPIs. A KPI is a strategic metric that: - Directly supports your organization’s top-level goals - Has clear executive buy-in and ownership - Cascades effectively to operational and individual levels ➤ Focus on the cross-functional KPIs that are applicable at all levels and aligned with the strategic goals 2) Adopt a Tiered KPI Framework: Use a 3-tier system to connect strategic priorities to day-to-day actions: - Tier 1: Strategic KPIs aligned with corporate objectives - Tier 2: Diagnostic metrics for root cause analysis - Tier 3: Operational metrics for team and individual accountability ➤ This hierarchy enables faster insight, alignment, and corrective action. 3) Move from Reporting to Action: Dashboards and scorecards aren’t just tools — they are part of your governance engine. - Use them to monitor, analyze, and respond, not just to report - Make data transparency and regular performance reviews a habit, not a chore 4) Accelerate with GenAI & ML: Next-gen technologies can supercharge KPI governance by: - Detecting anomalies and trends earlier - Automating analysis and forecasting - Providing actionable insights before issues escalate ➤ These tools enable proactive performance management, not just reactive correction. 📚 Reference: To dive deeper into Effective KPI Governance and Performance Measurement see: “Realizing Value from Digital/Gen AI/ML-Driven Supply Chain Planning Transformations” https://lnkd.in/g6JbA6Mf