KPI Development Strategies

🚀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

Most companies track KPIs that help them hit a short plan. Very few track KPIs that help them build a long-term strategy. There’s a difference. Planning KPIs measure how well you predicted the year. Strategy KPIs measure how well you compound value over a decade. If your dashboard is dominated by short-term variance analysis, you’re managing performance, not strategy. Here’s what true financial strategy KPIs look like: They link capital, risk, and growth choices to value creation over time: • ROIC vs WACC — not just the spread, but its trend • Economic Profit / EVA — NOPAT minus the charge for capital • 5–10 year TSR, not 1–3 year optics • Revenue + NOPAT growth vs peers, not in isolation • Capital allocation mix over time (how much cash goes to growth capex, M&A, R&D, buybacks, dividends) • Cash conversion across the cycle (OCF vs EBITDA vs Net Income — not just in a good year) • Risk tied to strategy (earnings volatility, leverage, coverage, liquidity headroom vs target) These don’t tell you whether finance did its job. They tell you whether your capital and risk choices are compounding in the direction your strategy promises. But strategy dies when it never connects to execution. Which is why the second set of KPIs is just as critical, and often missing. Strategy execution & alignment KPIs These connect the P&L and balance sheet to customers, operations, and learning: • Balanced Scorecard across: Financial, Customer, Internal Process, Learning & Growth • Customer economics: NPS, retention, net revenue retention, CAC payback, LTV • Strategic initiative delivery: % delivered on time/on budget with real impact (margin uplift, churn reduction, cycle time, etc.) • Talent health in strategic roles: Regretted turnover, engagement in critical teams • Innovation pipeline: % of revenue from products/services launched in the last 3–5 years If your KPIs can’t answer: - Are we allocating capital in a way that compounds value? - Is the organization aligned to deliver on that promise? Then you’re tracking activity, not strategy. Finance’s job isn’t to explain last month. t’s to architect how value gets built over the next decade. That requires a very different scoreboard. I have a few spots open for my Executive Alignment Sprint.  Align growth, finance, and operations. https://shorturl.at/6cMF2 A few other helpful tools 👉 Variance Toolkit https://shorturl.at/IdCa6 👉 Budget to Performance Framework  https://shorturl.at/KJnku Please share you thoughts in the comments. ♻️If this is helpful, Like and Repost to help others Follow Beverly Davis for strategic finance insights.

Most teams struggle with predicting the impact of future bets because it’s too complex and labor-intensive. As a result, they miss out on continuously growing their impact through data-driven learning loops. So I'm trying to figure out a lightweight workflow for teams to simulate the quantitative impact of their future bets. To be practical, the workflow must be conceptually sound while not requiring an onerous amount of data collection or ad hoc data science. The attached gif shows a tool prototype I'm playing with to power this workflow. Here's how I'm thinking this works: (1) Start by building an algebraic KPI tree for your business—this simplifies the impact of various factors into a clear model. An algebraic KPI tree breaks down your primary metric (could be revenue or a customer-oriented north star) into logical components (e.g., Revenue = Visitors * Revenue per visitor). (At DoubleLoop we have AI that helps with fast creation of algebraic KPI trees.) Note: algebraic KPI trees are a good place to start because the relationships are deterministic. While some teams want to create probabilistic models with soft influencer relationships between metrics, it requires more data science resources to get insight from these models. We're working on making this easier with DoubleLoop. (2) For a future period of work (e.g., Q1 2025) plug baseline values into the KPI tree. You could use a previous period's values or just use your judgment to pick something reasonable. It doesn't need to be perfect. (3) Based on the above, you can immediately do sensitivity analysis on the KPI tree to see where 1% changes to metrics will have the highest impact on your primary metric. This helps inform which levers to target with your bets. (4) Add your planned future bets to the canvas and connect each one to the input KPI you think that bet will influence. (5) Add other factors to the KPI tree; e.g., holidays, seasonal influences, or anything external that might impact your metrics. (6) At each connector between bet/factor and KPI, estimate how much you think that bet/factor will change the metric with a percentage. For example, a marketing campaign might both increase the # of new visitors and decrease conversion given lower intent. (7) Based on the formulas of the KPI tree, you will now be able to see the total predicted impact to your primary KPI across your whole portfolio of bets. (8) You will also have a framework to quantify the impact of each of your bets, even when external factors add noise. For example, sales might be down YoY, but you could still show how your bets had a positive impact in the face of headwinds. The first time you try this, your predictions will probably be far off. Your goal is to make better predictions with each cycle. The is unlimited potential to make your predictions more accurate, but this shouldn't stop you from getting started. Would you want to try this workflow for simulating bet impact? Why or why not?

If a metric doesn’t change a decision, it’s decoration. Most leadership teams have this backwards: they build dashboards first and only then ask, “So… what do we do?” Let’s fix that. Metrics ⊂ Strategy. Metrics live inside strategy, not the other way around. If you can’t point from a metric to a clear goal and a real decision it will change, it’s just noise. Want to make metrics useful? 👇 1️⃣ Start with 3 goals, not 30 metrics Write them in plain language: “Profitable growth in X segment” “Faster cash conversion” “Rebuild trust after cuts” If you can’t say the goal clearly, no metric will save you. 2️⃣ Give each goal 3 or fewer KPIs For each KPI, answer on one line: Target Owner Decision trigger Example: “Net revenue retention – 115% – owned by VP Sales. If it drops below 110%, we freeze discounts and review top 20 accounts.” If there’s no trigger, it’s a report, not a KPI. 3️⃣ Kill orphan metrics Open your dashboards. Keep the metrics that: changed at least one decision in the last 90 days Park or delete the ones that: no one can tie to a goal never change a plan only show up in “for your awareness” decks If you can’t remove 80% of your metrics without losing your strategy, you don’t have a strategy. You have feel good reporting. This week, ask your team: What are our top 3 goals? Which 3–9 metrics truly matter to them? Which charts can we remove without anyone missing them? If that question makes people nervous, you just found the work. If you had to keep only 3 metrics for the next quarter, which ones stay? 📩 Want your dashboards to drive real trade-offs? Let’s talk. 📬 Subscribe to BRIDGE: https://lnkd.in/gCdavukQ ♻️ Repost to help leaders in product, finance, and operations ➕ Follow Adi Agrawal | Bridge the Gap

“Users” and “tokens” are vanity metrics. They tell you who logged in and how much compute you burned, not whether AI is actually improving the P&L. If you can’t point to a GL line item that should move, you don’t have an AI strategy – you have a demo. A proper AI KPI stack starts from the financials, not the model. Three questions anchor everything: Where should revenue per rep increase? Where should cost-to-serve come down? Where should days in queue (or in cash) shrink? From there, every AI use case is wired to a specific metric and GL line. An assistive sales agent isn’t “improving productivity” – it’s targeting revenue per rep, close rate, and average deal size. A customer-service copilot isn’t “deflecting tickets” – it’s going after cost-to-serve per case and first-contact resolution. An underwriting or claims agent isn’t “streamlining decisions” – it’s attacking days in queue, loss ratios, and working capital. This is where mid-market reality bites. There usually isn’t a central analytics team to interpret vague dashboards. The Operating Partner and CFO need one page that says: here’s baseline, here’s AI-enabled target, here’s where we are this month. If the needle isn’t moving on the KPI stack, the project stops or gets redesigned. No endless pilots, no “phase 2” that never comes. The bridge from thesis to execution is built in two steps. In diligence, identify which GL lines AI should touch. Post-close, translate that into an operating dashboard the OP actually reads every Monday: revenue per rep, cost-to-serve, days in queue, cash conversion, all tagged to specific AI initiatives with owners and timelines. When the KPI stack is designed this way, AI conversations change. The debate shifts from which model is “best” to whether gross margin, SG&A, and working capital are trending toward the deal thesis. If not, it’s a signal to adjust fast. AI doesn’t need more dashboards. It needs a tighter contract with the P&L.

Most KPI dashboards I see are noise, not strategy. After working with dozens of founders and reviewing financials ranging from $1M to $50M+, I've noticed a pattern. The best teams track fewer metrics, and they track them relentlessly. The rest? They’re buried in dashboards that look impressive but don’t drive decisions. Here’s the trap most fall into: They track what’s easy to measure, instead of what moves the business forward. If you’re leading a growth-stage company, you don’t need 20 KPIs. You need three that shape how you operate. Here’s where I usually start: 1. Customer Acquisition Cost If you don’t know this number, every marketing dollar is a guess. 2. Lifetime Value This tells you how far you can go to win and keep a customer. It defines the ceiling for sustainable growth. 3. Cash Conversion Cycle Your P&L might look great, but if your cash is stuck in inventory or receivables, you’re scaling a liability. The right KPIs create tension but the productive kind. They reveal where you're bleeding, where you're growing, and where you’re inefficient. That’s the kind of visibility that drives momentum. Here’s how I help founders build KPI systems that matter: • Choose metrics that force decisions • Review them weekly or monthly • Assign ownership and drive action • Only expand once the core three are operationalized Your dashboard shouldn’t be a highlight reel. It should be a decision-making engine. If you're scaling past $1M, ask yourself: Are you tracking what matters or just what’s visible? This is where strategic finance begins. Follow Tom Dillon, CFA for more insights on raising capital and building financially sound businesses. If this helped, feel free to share with someone who needs it. #strategy #cfa #SMB #business #finance

Stop flooding the business with noise. Start designing metrics that move the business forward. If your KPIs aren’t tied to a clear destination, cross-functional impact, and decision-making power … they’re not metrics. They’re distractions. Here’s how to build metrics that actually matter in 2026: 1. Define the destination If you don’t know where you’re going, no metric can take you there. Start with a hard question: → What are we trying to achieve in plain business terms? Revenue growth? Margin expansion? Retention lift? Market entry? Be specific. Be measurable. Be aligned with what the board actually cares about. 2. Translate the goal into a strategic metric Most leaders fail here: they only serve one function. But strategy doesn’t live in silos. Neither should your KPIs. Ask: → Who else needs to act on this? → How does this number drive visibility, urgency, or coordination across teams? If your KPI only lives on your team’s dashboard, it’s not strategic. It’s isolated. 3. Clarify the formula Vague KPIs lead to vague execution. If people don’t trust the number, they won’t act on it. Worse, your meetings will get stuck debating how it’s calculated instead of what to do about it. Make the formula airtight: → What’s the source? → What’s the cadence? → Can any leader explain it without a data analyst present? If not, it’s not ready for boardroom visibility. 4. Set the baseline before chasing progress Never present a KPI without a “before.” Without a baseline, you’re measuring noise, not movement. Your baseline anchors reality. Only then can you show what’s improving, stalling, or slipping , and why it matters. You don’t need more KPIs. You need metrics with purpose, precision, and power. Metrics that drive decisions. Metrics that align teams. Metrics that make strategy operational. Because if your strategy isn’t showing up in your metrics, it’s not a strategy. It’s a wish. Build KPIs like you build strategy. Because that’s exactly what they are. #CamilaFerreira #LimitLess #CX #Leadership

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

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! 👇

Many L&D professionals grapple with demonstrating how growth in knowledge and capabilities translates into tangible improvements in KPIs and business impact. What if there was a simple tool to bridge this gap? I’ve been using a learning strategy tracking document for a while now to help me connect the dots between my learning initiatives and business outcomes. I thought this might be a useful tool to share! Here’s how to get started… Select a program you are currently working on or have recently completed. Open excel and write the following titles in Columns A-E: Column A: Program Name Column B: Target Audience Column C: Capability Growth Goals Column D: Short-term Performance Growth Goals (aka relevant KPIs) Column E: Longer-term Business Growth Goals Here’s an example: Program Name: New Sales Leader Onboarding Target Audience: Newly hired sales leaders Capability Growth Goals: Demonstrate 80% or higher competency practicing the sales closing process Short-Term Performance Growth Goals: Close 15% of sales calls within their first 90 days Longer-Term Business Growth Goals: 100% of new sales team members achieve a 90-day time to value (consistently closing 15% or more of all sales calls). Ideally, you’ll input these data points for all your flagship and regularly occurring learning initiatives. The value of this tracking document is that you can sort by KPIs (short-term outcomes) and business outcomes to easily see what programs are aligned with different business goals and strategies. When goals and strategies change, you can quickly find the programs that need to be adapted or sunset. And … this helps me easily identify what performance and business metrics I should be tracking alongside training completion and competency growth. The one challenge you might discover in doing this exercise is that your capability goals need to be more clearly refined in order to make the dots between learning, capability growth, short and long-term outcomes make sense. What tools or strategies do you use to create your hypothesis of how learning influences performance and business goals? What challenges do you face in demonstrating L&D's impact? Share your thoughts in the comments! *** If you’re looking for help identifying any piece of the learning strategy puzzle, join Deb Arnold and me for our Winning Fundamentals LinkedIn Audio Series - unpacking the fundamental practices of award winning learning teams. Our first session begins this Thursday at 10 am EST. Mark your calendar here: https://lnkd.in/gKcjWWAs *** #LearningAndDevelopment #TrainingImpact #OrganizationalLearning #LDStrategy