Business Intelligence Consulting

OKRs are the destination. KPIs are your compass. You can't scale without both working together: If you want to build a billion-pound business, it's not enough to have a vision. You also need some indication that you're actually getting there. That's the difference between OKRs and KPIs. OKRs tell you the destination. They're your big, ambitious goals and the outcomes that really matter to your business. When we were scaling HomeServe, one OKR might have been: reach 1 million members by year-end. That's the target we set and wanted to achieve. KPIs tell you if you're on course. They're the metrics you watch daily or weekly to see if your systems are working. For us, that meant monitoring things like conversion rates, customer acquisition cost, monthly member growth, and retention rates. If those numbers started dropping, we knew something needed fixing. Mid-sized businesses tend to make the same mistakes. They set goals but don't track the indicators that show whether they're making progress. That can lead to stagnation and prevent your business from growing. If you want to scale more efficiently, remember: ✅ OKRs give you focus. They align your team around what actually matters so everyone knows the mission.  ✅ KPIs give you feedback.  They show you whether your systems are healthy and make it easier to solve problems early.  The businesses that reach £100m or even £1b aren't reinventing the wheel. They simply know where they're going and can see when they're off course. Set your coordinates, then make sure you're headed north. Share your experience with OKRs and KPIs in the comments. ♻️ Repost to share this lesson with your network.  And for more on building and scaling successful businesses,  Follow me Richard Harpin. 

🚀How to choose the right KPIs for your tech scale-up I've noticed a consistent challenge Many businesses collect extensive data but struggle to identify which metrics actually matter. Here's my top tips on choosing KPIs that will genuinely drive your business forward. 1️⃣ Start with strategy, not metrics: Your KPIs should reflect your strategy through numbers. Before opening any spreadsheets, ask yourself: 🎯where are you aiming to get to? 🥅what specific goals have you set for your team? 🥸how do you differentiate from competitors? Your answers should guide your choice of metrics, not the other way around. 2️⃣Balance leading and lagging indicators: Here's a practical example. If your goal is to increase premium tier adoption from 15% to 25%, that percentage is your lagging indicator. But you need leading indicators to drive progress. For your sales team, this might mean tracking: ✅number of upgrade conversations with existing customers ✅weekly demos of premium features ✅customer feature usage patterns These leading indicators help predict whether you'll hit your target and allow for adjustments while there's still time to impact the outcome. 3️⃣The essential metrics: Some metrics need consistent monitoring regardless of your strategy. In my experience, these include: ☑️MRR ☑️EBITDA ☑️Cash runway ☑️Customer LTV ☑️Customer churn Consider these your fundamental business health indicators. 4️⃣Make data collection seamless: Even the best-designed KPI framework fails if data collection is manual and inconsistent. Two key principles: 🖥️automate wherever possible 🐣capture data at its earliest possible point For example, don't wait for finance to categorize sales by department at month-end. Build it into your invoicing process. 5️⃣Consider the human element: Numbers need context to drive action. For KPIs to create change: 🗣️share them with the people who can impact them 🤔explain the reasoning behind each metric 🔎make them visible and accessible 🫧create clear accountability I've consistently seen that teams who understand why they're tracking certain metrics perform better than those who are simply told what to track. What separates effective KPI frameworks from ineffective ones? Keep your regular reporting focused on metrics that are: 🔗directly linked to strategy 😕simple to understand ✔️actionable by your team ❤️🩹critical to business health But maintain other data points in your systems. They become valuable when investigating problems or identifying opportunities. If you're working on refining your KPI framework, what's the one metric that's transformed how you view your business performance? Want to dive deeper into building effective reporting structures for your scale-up? DM me for a copy of our KPI framework template. #techscaleup #startupmetrics #businessgrowth #datadrivendecisions

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

Want to prove procurement's value, boost supplier performance, and optimize your supply chain? Tracking the right Key Performance Indicators (KPIs) is essential! Here's how to make KPIs work for you: 1. 🎯 Alignment with Business Goals: Your KPIs should directly reflect your organization's strategic objectives. Don't just track metrics for the sake of it – make sure they're aligned with what matters most to your business. 2. 📊 Data Accuracy & Availability: Garbage in, garbage out! Reliable data is the foundation of meaningful performance measurement. Ensure your data is accurate, complete, and readily accessible. 3. 📈 Regular Monitoring & Reporting: Don't just collect data – use it! Track and report on your KPIs regularly (weekly, monthly, quarterly) to identify trends, spot potential problems, and drive continuous improvement. 4. 💡 Actionable Insights: KPIs should provide more than just numbers – they should offer actionable insights. Use your data to improve procurement processes, strengthen supplier relationships, and make smarter decisions. 🌟 By following these best practices, you can unlock the full potential of KPIs and drive procurement excellence. What are your must-track procurement KPIs? Share your experiences and insights in the comments below! 👇

HR KPIs (Key Performance Indicators) – Explained 1. Recruitment (Hiring) Measures how effective your hiring process is: • Time to fill – Days taken to fill a vacancy • Time to hire – Days from candidate application to joining • Cost per hire – Total hiring cost per employee • Offer acceptance rate – % of candidates who accept offers • New hire retention (90 days) – How many new hires stay after 3 months • Quality of hire – Performance after 6 months 2. Retention & Turnover (Employee Leaving) Shows employee stability: • Overall turnover rate – % of employees leaving • Voluntary vs involuntary – Resign vs termination • Turnover by department/manager – Problem areas • Exit reasons – Why employees quit • High performer retention – Are top staff staying? 3. Performance Management Checks employee performance: • % meeting targets • Appraisal completion • Low vs high performers • Improvement after PIP (Performance Improvement Plan) • Performance by department 4. Training & Development Measures learning impact: • Training participation • Effectiveness score • Skill improvement • Employees with IDP (Individual Development Plan) • ROI of training • Compliance training completion 5. Employee Relations Monitors workplace issues: • Complaints & grievances • Time to resolve • Repeat problems • Disciplinary cases • Engagement survey results 6. HR Operations Daily HR efficiency: • Payroll accuracy • HR response time • Ticket resolution • Attendance accuracy • Legal compliance ⸻ Why HR KPIs are important? • Improve hiring quality • Reduce attrition • Increase productivity • Control HR cost • Ensure compliance • Improve employee satisfaction

📌 How to Select the Right Dashboard KPIs (What you need to know) In today’s digital age, data has become the lifeblood of business strategy. From SMBs to Fortune 500s, companies are rushing to capitalize on their collected data. Boards and investors are pushing for data-driven approaches to stay competitive in rapidly evolving markets. Business intelligence is no longer optional and dashboards are more critical than ever. We’re talking about tracking Key Performance Indicators (KPIs) to make better decisions. But the truth is… Most dashboards fail before they even get built. Why? Because they’re tracking the wrong KPIs. Let’s break this down: Anyone can Google “Top 10 KPIs for marketing” or “Sales dashboard metrics” But effective KPIs are not copied and pasted. They’re designed based on your business model, decision points, and goals. This is something closely tied to your business context. So how do you actually choose KPIs that drive impact? Here’s a 4-step framework: 1️⃣ 𝐒𝐭𝐚𝐫𝐭 𝐟𝐫𝐨𝐦 𝐭𝐡𝐞 𝐃𝐞𝐜𝐢𝐬𝐢𝐨𝐧, 𝐍𝐨𝐭 𝐭𝐡𝐞 𝐃𝐚𝐭𝐚 Before looking at any numbers, ask: → What decisions do we need to make faster? → What outcomes are we trying to improve? KPIs are not about monitoring everything. They’re about enabling better decisions. If you’re not clear on the decision, the KPI is just noise. 2️⃣ 𝐌𝐚𝐩 𝐊𝐏𝐈𝐬 𝐭𝐨 𝐁𝐮𝐬𝐢𝐧𝐞𝐬𝐬 𝐎𝐛𝐣𝐞𝐜𝐭𝐢𝐯𝐞𝐬 Each KPI should directly tie to a strategic goal. Examples: → Sales conversion rate → revenue growth → Customer retention rate → long-term profitability → Cost per lead → marketing efficiency Ask yourself: If this metric improves, will the business benefit? If the answer is no, it’s not a key performance indicator. It’s just a metric. 3️⃣ 𝐁𝐚𝐥𝐚𝐧𝐜𝐞 𝐋𝐞𝐚𝐝𝐢𝐧𝐠 𝐯𝐬 𝐋𝐚𝐠𝐠𝐢𝐧𝐠 𝐈𝐧𝐝𝐢𝐜𝐚𝐭𝐨𝐫𝐬 Lagging KPIs show outcomes. (e.g. total revenue, churn rate) Leading KPIs show input signals. (e.g. pipeline volume, support tickets opened) You need both. Lagging tells you what happened. Leading helps you influence what will happen. Too many dashboards focus only on the past. 4️⃣ 𝐃𝐨𝐧’𝐭 𝐎𝐯𝐞𝐫𝐥𝐨𝐚𝐝 More KPIs ≠ more insight. It usually leads to analysis paralysis. Focus on the 5–7 metrics that truly matter. Kill vanity metrics. (Yes, that includes “likes” and “bounce rates” if they don’t drive decisions.) If you remember one thing today: A good KPI is… ☑ Actionable: You know what to do if it changes ☑ Owned: Someone is responsible for improving it ☑ Contextual: You can compare it (vs. target, vs. last month, etc.) -- 💡 I shared a few months ago a KPI Handbook to help you speed up your KPI selection. If you still haven’t checked it out, here’s the link: https://lnkd.in/e-TzyAkS #BusinessIntelligence #DataAnalytics #DecisionMaking

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?

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

“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