KPI Tracking and Optimization

📊 Why Tracking KPIs & Regular Reviews are Non-Negotiable at Frigate 🚀 When we started Frigate, I thought winning orders was all about price���quote lower, win the deal. But over time,We realized price is just one part of the game. Speed, reliability, and execution are equally, if not more, important. And the only way to get better at them? Tracking, measuring, and improving. If something isn’t working, We don’t want to assume the problem—I want to see the numbers and fix it fast. That’s why KPIs (Key Performance Indicators) are at the heart of how we operate at Frigate. 🔹 What We Measure & Why It Matters 📍 1️⃣ RFQ Response Time ⏳ – The Faster We Quote, The More We Win There’s no room for slow responses in this business. If a buyer gets a faster, competitive quote elsewhere, we lose—simple as that. ✅ We track how long it takes from RFQ to supplier quote submission. ✅ The goal? Bring this down to hours, not days. 📍 2️⃣ Quote-to-Win Ratio 🎯 – Are We Actually Competitive? Sending quotes means nothing if they don’t convert. I always check: ✅ What percentage of our submitted quotes turn into real orders? ✅ If we’re losing, is it price, lead time, or supplier limitations? 📍 3️⃣ On-Time Delivery Rate 🚚 – Execution is Everything A great price means nothing if the order doesn’t arrive on time. I review: ✅ How often our suppliers meet delivery timelines ✅ If a supplier is consistently late, they don’t stay in our system 📍 4️⃣ Gross Margin Per Order 💰 – Are We Pricing Right? I used to think winning orders was the only goal—until I realized some orders weren’t even profitable. ✅ Now, every order is checked for gross margin before quoting ✅ If we’re cutting too close, I adjust our quoting strategy immediately 📍 5️⃣ Repeat Buyer Rate 🔄 – Are We Just Chasing New Customers? New customers are expensive to acquire. If they don’t return, we have a problem. ✅ I track how many customers come back for more orders ✅ If the number drops, I dig deep—was it pricing, experience, or something else? 🔹 KPIs Aren’t Just Numbers – They Drive Real Decisions Every week, I sit down with the team to review what’s working and what’s broken. 📌 If RFQs aren’t converting? We rethink our pricing model. 📌 If suppliers are delaying? We replace them. 📌 If gross margins are dropping? We fix our cost structure. This isn’t about tracking for the sake of tracking. It’s about seeing the reality of the business and acting fast. 🔹 Final Thought: If You’re Not Tracking, You’re Guessing In sourcing, small inefficiencies compound fast. Delayed quotes, unreliable suppliers, and bad pricing can quietly kill a business. At FRIGATE, we don’t guess. We measure. We improve. And that’s how we stay ahead. 📢 How often do you review your KPIs? #Sourcing #KPIsMatter #Manufacturing #SupplyChain #DataDrivenGrowth #Procurement #Frigate

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?

90% of companies track cloud cost. But they miss the real signals of infra performance. Your AWS bill is not a KPI. It’s a lagging symptom. If you're tracking just the cost, you’re 2 incidents too late. Here are 7 𝐊𝐏𝐈𝐬 𝐰𝐞 𝐭𝐫𝐚𝐜𝐤 for every single business. 1. 𝐔𝐧𝐢𝐭 𝐂𝐨𝐬𝐭 𝐩𝐞𝐫 𝐃𝐞𝐩𝐥𝐨𝐲 How much infra are you burning per release? If this isn’t improving, your platform isn’t scaling. It’s bloating. 2. 𝐈𝐝𝐥𝐞 𝐑𝐞𝐬𝐨𝐮𝐫𝐜𝐞 𝐑𝐚𝐭𝐢𝐨 Not just CPU or memory. We measure provisioned vs. consumed by workload class. This tells us exactly where to optimize capacity without touching autoscalers. 3. 𝐌𝐞𝐚𝐧 𝐓𝐢𝐦𝐞 𝐓𝐨 𝐑𝐞𝐜𝐨𝐯𝐞𝐫𝐲 (𝐌𝐓𝐓𝐑) 𝐛𝐲 𝐒𝐞𝐫𝐯𝐢𝐜𝐞 Nobody wants to own this. But we break it down per team + service. The gaps reveal way more than your uptime reports ever will. 4. 𝐑𝐨𝐥𝐥𝐛𝐚𝐜𝐤 𝐑𝐚𝐭𝐢𝐨 (𝐩𝐞𝐫 100 𝐝𝐞𝐩𝐥𝐨𝐲𝐬) We don’t just track how often it happens. We track why it happens (infra drift, pipeline bugs, or config issues) Rollback is the silent killer of developer trust. 5. 𝐇𝐨𝐭 𝐏𝐚𝐭𝐡 𝐋𝐚𝐭𝐞𝐧𝐜𝐲 𝐕𝐨𝐥𝐚𝐭𝐢𝐥𝐢𝐭𝐲 Not average latency. Not p95. We track volatility across hot paths. Especially during deploys, autoscaling, or burst traffic. This exposes hidden platform debt. 6. 𝐃𝐞𝐩𝐥𝐨𝐲𝐦𝐞𝐧𝐭 𝐒𝐚𝐟𝐞𝐭𝐲 𝐒𝐜𝐨𝐫𝐞 A composite we built: - Change failure rate - Config diff size - Service dependency blast radius - Rollback history - Team experience Helps us predict risk before a deployment happens. 7. 𝐎𝐛𝐬𝐞𝐫𝐯𝐚𝐛𝐢𝐥𝐢𝐭𝐲 𝐂𝐨𝐯𝐞𝐫𝐚𝐠𝐞 % Not just “we use Datadog”. We audit how much of the infra is actually traced, logged, and alerted on.. Most setups cover 20–30% of what really matters. If you're not tracking these, you're not running infra. You're running blind. Want to actually get proactive about your platform? Fix your KPIs first.

Not all metrics are meant to be tracked alone. Focusing on a single number can lead you straight into a false sense of progress. You reduce CAC by 10%. You increased ROAS by 20%. You drive 30% more signups. But revenue and profit doesn’t move. Retention drops. What happened? 👉 You optimised one metric, but ignored its sister. Every core KPI needs a sister metric, a complementary measure that ensures your efforts are actually creating value, not just movement. Here are a few examples: CAC + Contribution profit ROAS + Conversion value Traffic + Conversion rate Email signups + Revenue per subscriber Returning customers + Revenue growth per returning customer These pairs act as guardrails. Single metrics give you a snapshot. Sister metrics give you the full story. Track in pairs. Think in systems. Grow with clarity.

𝗬𝗼𝘂𝗿 𝗱𝗮𝘀𝗵𝗯𝗼𝗮𝗿𝗱 𝘀𝗮𝘆𝘀 𝗴𝗿𝗲𝗲𝗻. 𝗬𝗼𝘂𝗿 𝗚𝗲𝗺𝗯𝗮 𝘀𝗮𝘆𝘀 𝗼𝘁𝗵𝗲𝗿𝘄𝗶𝘀𝗲. A production director proudly showed me a green number of 90% on delivery. Brilliant, right? Then I walked to the Gemba (i.e. the "real place" where value is generated). ⚠ Finished goods stacked everywhere. ⚠ The warehouse had run out of space. ⚠ Teams working weekends to meet artificial deadlines - shipping products customers hadn't even ordered yet. After 26 years at Danaher and P&G, I've seen this pattern repeatedly: "𝗪𝗮𝘁𝗲𝗿𝗺𝗲𝗹𝗼𝗻 𝗞𝗣𝗜𝘀" - 𝗴𝗿𝗲𝗲𝗻 𝗼𝗻 𝘁𝗵𝗲 𝗼𝘂𝘁𝘀𝗶𝗱𝗲, 𝗿𝗲𝗱 𝗼𝗻 𝘁𝗵𝗲 𝗶𝗻𝘀𝗶𝗱𝗲. They'd optimised for the KPI, not the process. 𝗪𝗵𝗮𝘁 𝘄𝗲 𝗰𝗵𝗮𝗻𝗴𝗲𝗱: We focused on creating flow to customer requirements. We started measuring how we achieved the KPI. We added: 1. Customer pull signals versus push targets 2. Inventory levels alongside delivery rates 3. Overtime hours per week     Within three months: ✅ inventory dropped 31%, ✅ overtime costs fell by half, and ✅ actual customer satisfaction improved. Delivery also improved by one percentage point. The watermelon turned genuinely green. 𝗟𝗲𝗮𝗱𝗲𝗿𝘀𝗵𝗶𝗽 𝗶𝗻𝘀𝗶𝗴𝗵𝘁𝘀 𝗳𝗿𝗼𝗺 𝗴𝗼𝗶𝗻𝗴 𝘁𝗼 𝗚𝗲𝗺𝗯𝗮: 1. 𝗚𝗼 𝘁𝗼 𝘁𝗵𝗲 𝗴𝗲𝗺𝗯𝗮. If your dashboard says green, walk the floor. Green numbers should create calm operations, not chaos. 2. 𝗔𝘀𝗸 𝗼𝗻𝗲 𝘀𝗶𝗺𝗽𝗹𝗲 𝗾𝘂𝗲𝘀𝘁𝗶𝗼𝗻: 𝐻𝑜𝑤 𝑎𝑟𝑒 𝑤𝑒 𝑎𝑐ℎ𝑖𝑒𝑣𝑖𝑛𝑔 𝑡ℎ𝑖𝑠 𝑛𝑢𝑚𝑏𝑒𝑟? The answer reveals a lot. 3. 𝗠𝗲𝗮𝘀𝘂𝗿𝗲 𝘁𝗵𝗲 𝘀𝘆𝘀𝘁𝗲𝗺, 𝗻𝗼𝘁 𝗷𝘂𝘀𝘁 𝘁𝗵𝗲 𝗼𝘂𝘁𝗽𝘂𝘁. Add metrics that show whether you're gaming the target or genuinely improving. 4. 𝗥𝗲𝘄𝗮𝗿𝗱 𝘁𝗿𝘂𝘁𝗵 𝗼𝘃𝗲𝗿 𝘁𝗮𝗿𝗴𝗲𝘁𝘀. When someone admits a green KPI masks a real problem, celebrate that honesty and courage.     👉 𝗧𝗵𝗲 𝗿𝗲𝗮𝗹𝗶𝘁𝘆 𝗻𝗼𝗯𝗼𝗱𝘆 𝘄𝗮𝗻𝘁𝘀 𝘁𝗼 𝗵𝗲𝗮𝗿: 𝗧𝗵𝗲 𝗺𝗼𝗿𝗲 𝗞𝗣𝗜𝘀 𝘆𝗼𝘂 𝘁𝗿𝗮𝗰𝗸, 𝘁𝗵𝗲 𝗲𝗮𝘀𝗶𝗲𝗿 𝗶𝘁 𝗶𝘀 𝘁𝗼 𝗵𝗶𝗱𝗲 𝗽𝗿𝗼𝗯𝗹𝗲𝗺𝘀. Real improvement comes from understanding the few vital metrics that truly reflect business health - and investigating when they look too good to be true. ▶ Please 𝗳𝗼𝗹𝗹𝗼𝘄 𝗺𝗲 for practical learning on continuous improvement from real life. 📦 Join my free 𝗺𝗼𝗻𝘁𝗵𝗹𝘆 𝗻𝗲𝘄𝘀𝗹𝗲𝘁𝘁𝗲𝗿 to help you improve by 1% each day, every day: https://lnkd.in/d3Zmay-H 📌 If your dashboard says green but your Gemba says otherwise, please 𝗿𝗲𝗽𝗼𝘀𝘁 this - help other leaders to look beyond the numbers.

“The scoreboard doesn’t lie. It doesn’t care how you feel—it only reflects how you’re performing.” — Bill Parcells Post #20: Implement Real-Time KPI Tracking In fast-moving markets, lagging indicators are a liability. They tell you what already happened—when it’s too late to change it. And yet, nearly every leader I work with has KPIs buried in reports, scattered across systems, or delayed by manual processes. The result? Poor visibility, slower response, and misaligned execution. But the real issue isn’t just access to data—it’s what you’re tracking. Most dashboards are loaded with lagging metrics: revenue, churn, EBITDA. Important, yes—but reactive. The unlock is identifying the leading indicators that predict those outcomes: + What inputs drive the output? + What behaviors or activities signal movement—before it hits the scoreboard? We helped one team rebuild their KPI engine around this concept. Instead of waiting for monthly revenue data, they tracked real-time lead flow, proposal activity, average sales cycle velocity, and product usage signals. This gave them a two-week head start on performance gaps—and helped allocate resources faster, with more precision. Here’s how to move from reactive to real-time: + Define the critical few metrics—6–10 that blend predictive and performance indicators. + Automate where possible—eliminate the latency that kills momentum. + Make it visible across functions—alignment starts with shared awareness. + Review weekly, act daily—don’t just monitor—respond. The goal isn’t more data. It’s better foresight. Because the best leaders don’t just report what happened—they lead by knowing what’s coming next. Next up: Post #21 – Strengthen Sales Enablement #CEOPlaybook #RealTimeKPIs #LeadingIndicators #PredictivePerformance #LeadershipInTurbulence

According to HubSpot, businesses with well-defined KPIs are 5x more likely to achieve their goals. Uncover the top three KPIs every sales manager should track to shorten sales cycles and boost conversions. Let's break down three KPIs that can radically improve your sales process and drive results. 1. Sales Cycle Length Description: Measures the average time it takes for a lead to move through your entire sales cycle, from initial contact to closing the deal. How to Calculate: Sum the total number of days each deal takes to close, then divide by the number of closed deals. Why It’s Important: Knowing your average sales cycle length helps in forecasting sales and managing team expectations. It can also pinpoint stages where deals tend to stall. Example: If you're selling enterprise software and notice the demo phase consistently adds an extra week to your sales cycle, you might streamline the demo process or provide additional training to your sales team to handle objections effectively. 2. Lead Conversion Rate (LCR) Description: The percentage of leads that convert into actual sales. How to Calculate: Divide the number of sales by the number of leads, then multiply by 100 to get a percentage. Why It’s Important: LCR helps you assess the effectiveness of your lead generation and qualification efforts. Improving this rate can significantly increase revenue without increasing lead generation costs. Example: After tweaking your qualification criteria, you track LCR to see if the new criteria are better at identifying leads that are more likely to close, thus optimizing resource allocation. 3. Customer Acquisition Cost (CAC) Description: The total cost spent on acquiring a new customer, including all marketing and sales expenses. How to Calculate: Sum all marketing and sales costs over a given period and divide by the number of new customers acquired during that period. Why It’s Important: CAC is crucial for understanding how much you're spending to gain each customer, helping to optimize marketing strategies and budget allocation for maximum ROI. Example: If your CAC is high, you might explore more efficient channels or improve sales team efficiency to reduce costs, particularly in how you handle those multiple touchpoints in your long sales cycle. 🌟 Wrap-Up: Tracking these KPIs provides not just a snapshot of your sales health but a roadmap for strategic adjustments. Whether it's shortening the sales cycle, improving lead conversion, or reducing customer acquisition costs, these metrics are vital for any sales manager dealing with complex, high-ticket sales. #SalesManagement #BusinessIntelligence #KPIs #DataAnalytics

In today’s fast-paced business world, setting clear objectives is crucial to achieving success. 𝐊𝐞𝐲 𝐏𝐞𝐫𝐟𝐨𝐫𝐦𝐚𝐧𝐜𝐞 𝐈𝐧𝐝𝐢𝐜𝐚𝐭𝐨𝐫𝐬 (𝐊𝐏𝐈𝐬) are one of the most effective tools for aligning your strategy with business goals. They help measure progress, spot trends, and ensure everyone in the organization is working towards the same vision. But simply having KPIs is not enough—they need to be defined, tracked, and analyzed in ways that make them actionable and meaningful. 𝐻𝑒𝑟𝑒’𝑠 ℎ𝑜𝑤 𝑦𝑜𝑢 𝑐𝑎𝑛 𝑒𝑓𝑓𝑒𝑐𝑡𝑖𝑣𝑒𝑙𝑦 𝑙𝑒𝑣𝑒𝑟𝑎𝑔𝑒 𝐾𝑃𝐼𝑠 𝑡𝑜 𝑑𝑟𝑖𝑣𝑒 𝑠𝑡𝑟𝑎𝑡𝑒𝑔𝑖𝑐 𝑎𝑙𝑖𝑔𝑛𝑚𝑒𝑛𝑡 𝑖𝑛 𝑦𝑜𝑢𝑟 𝑜𝑟𝑔𝑎𝑛𝑖𝑧𝑎𝑡𝑖𝑜𝑛: 1. Define Clear Goals: The first step is to ensure that your KPIs align with the company’s overall objectives. Ask yourself, “What is the organization trying to achieve this quarter, this year?” KPIs should serve as the roadmap to these goals, acting as a guiding light for teams to follow. 2. Measure What Matters: Not all data is created equal. Focus on the metrics that have the biggest impact on your business. This means prioritizing KPIs that directly affect performance, customer satisfaction, revenue, and growth. Identify what truly drives success and avoid getting caught up in vanity metrics. 3. Make KPIs Actionable: KPIs are only valuable if they drive decision-making. Ensure that they provide real-time insights that enable teams to take immediate action. If a metric shows a problem, your teams should be equipped to address it swiftly and strategically. 4. Consistency is Key: Tracking KPIs over time allows you to spot trends and patterns that could indicate underlying issues or opportunities. Regular reviews help keep everyone on track and allow for adjustments when necessary. Consistency also ensures that you're not blindsided by sudden changes. 5. Accountability: Every KPI should have a clear owner—someone responsible for tracking, analyzing, and reporting on that metric. Accountability ensures that the right actions are being taken and encourages continuous improvement. By consistently aligning KPIs with your strategic goals, you create a roadmap that drives measurable progress and keeps everyone in sync. KPIs not only help you measure success but also serve as a powerful tool for making data-driven decisions and achieving long-term objectives. What KPIs have you found most effective in driving strategic alignment within your business? Share your insights in the comments! #BusinessStrategy #KPIs #DataDrivenDecisionMakingg #KeyPerformanceIndicators #PerformanceTracking

Day 6 of whatever it takes, Continuing our discussion on the optimization of Fraud Model & thereby reducing the False positives to improve the Customer Satisfaction & Reduce the revenue loss. Below were the KPIs we talked about: 1. Business Impact: False Positive Rate (FPR), Revenue Loss Due to False Positives, Customer Churn Rate Post-False Positive, Business Impact Score (BIS) & finally, Returns on Investment (ROI). 2. Customer Experience: Customer Complaint Volume (Related to Fraud Flagging), Average Resolution Time for False Positives, Customer Satisfaction Index (CSI), Revenue Reinstatement Rate Post-Resolution, Net Promoter Score (NPS) Post-Incident, Customer Account Blocking Rate, Repeat Incidence Rate of False Positives. 3. Model Drift: Population Stability Index (PSI), Feature Importance Drift, - Concept Drift Metrics (Sudden and Gradual Drift Detection): By monitoring for both sudden shifts and gradual pattern changes, these metrics help capture new fraud tactics quickly. - Model Performance Degradation Over Time: Observing declines in core metrics like precision and recall provides a direct indication of how well the model is coping with drift. - Retraining Frequency and Adaptation Impact: Tracking retraining frequency shows how adaptable the model is to changing patterns and can indicate areas where the data environment is volatile - Drift Detection Using Adversarial Validation: By creating a classifier to detect differences between past and current data, this KPI provides a nuanced look at subtle shifts that may otherwise go unnoticed - Error Rate Increase Across Data Segments: Monitoring error rates for specific customer groups helps to localize drift impacts, ensuring that segments like small businesses are not disproportionately affected. - Time to Detection of Drift-Triggered Performance Drop: This KPI ensures that any significant performance drop is quickly flagged and corrected, minimizing the risk of ongoing misclassifications. The revenue part of the business which also gets impacted due to High Number of False positives are also important to interpret: - Revenue Impact of False Positives: Total revenue of legitimate transactions blocked or delayed due to incorrect fraud flags. - Average Revenue per Blocked Transaction: Total Revenue Impact of False Positives/Total number of such transactions - Lifetime Value (LTV) Loss from False Positives:  Sum of LTV for customers who churned due to false positives. - Average Revenue Delay Due to False Positives: Average time delay multiplied by revenue for transactions wrongly flagged as fraud. - False Negative Revenue Impact (Missed Fraud): Estimated revenue lost to undetected fraud cases. These KPIs across Business Impact, Customer Experience, Model Drift and Revenue Loss will help us in understanding the technical details of the optimization. #FraudOptimization #ML #Data #Analytics #DataDrivenDecisionMaking #Intelligence #consistency

KPIs 2.0 – When AI Joins the Game! Last time, we talked about KPIs as the scoreboard of business success. But what if the game itself is changing? What if AI isn’t just another player but the ultimate game-changer—an MVP that rewrites the rules? AI is no longer a futuristic buzzword—it’s actively reshaping how we track, optimize, and achieve success across every C-level function. Just as we looked at traditional KPIs, it’s time to explore AI-powered KPIs—metrics that reveal how AI is transforming decision-making, efficiency, and innovation. 🔗 How does this connect to my last post? Simple. If traditional KPIs tell us what we measure, AI KPIs show us how we measure smarter. The way organizations are structured is shifting, and so are the ways we define success. Here’s a breakdown of AI-driven KPIs across seven major leadership domains: 🚀 Sales, Marketing & Client Experience → AI-driven lead scoring, AI-powered personalization, predictive sales forecasting. 💡 Product Development & Innovation → AI-driven innovation contribution, machine learning model accuracy, AI-enhanced R&D speed. 🏭 Operations → AI-powered process optimization, predictive maintenance, AI-driven automation. 💰 Finance → AI forecasting accuracy, AI-driven fraud detection, AI’s impact on cost optimization. 🛡️ IT & Cybersecurity → AI-powered threat detection, AI incident response, AI-driven IT support. 👥 HR & Culture → AI-based recruitment efficiency, bias reduction in AI hiring, workforce AI upskilling. 📈 Strategy & Transformation → AI maturity index, AI’s impact on strategic decision-making, AI-powered scenario planning. 💡 “AI is the new electricity.” If that’s true, then these AI-driven KPIs might just be the voltage meter of modern business success. 🔥 What AI-powered KPIs are you tracking in your organization? Are these helping you drive better decisions, or do they still feel like a work in progress? Drop your thoughts in the comments! #AI #AIinBusiness #Strategy #Leadingwithstrategy --------------- Looking for an in-person learning opportunity? Check out Strategy.Inc's Strategy Reinvented Conference in Amsterdam on April 10-11, 2025. Visit the webpage for more information on the speakers and the agenda! Register now and join a great group of global strategy leaders!