Developing KPIs For Projects

Here are some realistic KPIs that project managers can actually track : 1. Schedule Management 🔹 Average Delay Per Milestone – Instead of just tracking whether a project is on time or not, measure how many days/weeks each milestone is getting delayed. 🔹 Number of Change Requests Affecting the Schedule – Count how many changes impacted the original timeline. If the number is high, the planning phase needs improvement. 🔹 Planned vs. Actual Work Hours – Compare how many hours were planned per task vs. actual hours logged. 2. Cost Management 🔹 Budget Creep Per Phase – Instead of just tracking overall budget variance, break it down per phase to catch overruns early. 🔹 Cost to Complete Remaining Work – Forecast how much more is needed to finish the project, based on real-time spending trends. 🔹 % of Work Completed vs. % of Budget Spent – If 50% of the budget is spent but only 30% of work is completed, there's a financial risk. 3. Quality & Delivery 🔹 Number of Rework Cycles – How many times did a deliverable go back for corrections? High numbers indicate poor initial quality. 🔹 Number of Late Defect Reports – If defects are found late in the project (e.g., during UAT instead of development), it increases risk. 🔹 First Pass Acceptance Rate – Measures how often stakeholders approve deliverables on the first submission. 4. Resource & Team Management 🔹 Average Workload per Team Member – Tracks who is overloaded vs. underloaded to ensure fair distribution. 🔹 Unplanned Leaves Per Month – A rise in unplanned leaves might indicate burnout or dissatisfaction. 🔹 Number of Internal Conflicts Logged – Measures how often team members escalate conflicts affecting productivity. 5. Risk & Issue Management 🔹 % of Risks That Turned into Actual Issues – Helps evaluate how well risks are being identified and mitigated. 🔹 Resolution Time for High-Priority Issues – Tracks how quickly critical issues get fixed. 🔹 Escalation Rate to Senior Management – If too many issues are getting escalated, it means the PM or team lacks decision-making authority. 6. Stakeholder & Client Satisfaction 🔹 Number of Unanswered Client Queries – If clients are waiting too long for responses, it could lead to dissatisfaction. 🔹 Client Revisions Per Deliverable – High revision cycles mean expectations were not aligned from the start. 🔹 Frequency of Executive Status Updates – If stakeholders are always asking for updates, the communication process might be weak. 7. Agile Scrum-Specific KPIs 🔹 Story Points Completed vs. Committed – If a team commits to 50 points per sprint but completes only 30, they are overestimating capacity. 🔹 Sprint Goal Success Rate – Tracks how many sprints successfully met their goal without major spillovers. 🔹 Number of Bugs Found in Production – Helps measure the effectiveness of testing. PS: Forget CPI and SPI - I just check time, budget, and happiness. Simple and effective! 😊

You hit every KPI. But did anything actually get better? Solving the wrong problem perfectly is still failure. So is solving the right one - without knowing how you’ll measure it. Let’s say a digital health platform launches: 🔹Sleek interface 🔹User numbers climbing 🔹Dashboards full of green ticks But two months later... 🔹Patients are still confused 🔹Clinicians are frustrated 🔹Data isn’t flowing across systems 🔹Helpdesk tickets pile up The dashboard says success... but the outcomes show otherwise. In digital health, success is often defined too narrowly: 🔸The platform went live 🔸KPIs were ticked 🔸Stakeholders celebrated But if patients still struggle, providers still burn out, and workflows remain broken - was it really a success? The truth is, different players define success differently: 🔹Patients want clarity and trust 🔹Clinicians want support in context 🔹IT wants performance 🔹Leadership wants results 🔹Funders want scale And that misalignment is where failure often begins. We don’t just need SMART (Specific, Measurable, Achievable, Relevant, and Time-bound) goals. We need SMART goals for healthcare, ones that reflect complexity, context, and care. Because what gets measured, gets built. And if we define success in terms of speed and scale, we risk delivering fast but shallow. A better way would be to define success through multiple lenses Systems Thinking 🔸What ripple effects will this change create? 🔸Will it reinforce or undermine other parts of care delivery? Design Thinking 🔸Does this make life better for the people using it? 🔸Does it work in context, not just on paper? Interoperability Thinking 🔸Will it integrate across teams and platforms - or just add noise? How does SMART Goals for healthcare looks like? ✨S – Shared & Specific Is the goal clear and aligned across patients, providers, and implementers? ✨M – Meaningful & Measurable Does it tie to real improvement - not just activity? ✨A – Aligned & Achievable Is it grounded in actual clinical workflows and capacity? ✨R – Relevant & Responsible Is it equity-conscious, ethically sound, and system-aware? ✨T – Time-bound & Tracked Is it tracked across the care journey - with feedback loops, not just endpoints? What this looks like in action: 🔹30% reduction in medication errors across 3 facilities in 6 months 🔹15% improvement in post-discharge follow-up for elderly patients using an interoperable care platform 🔹Measurable reduction in care team workload without sacrificing continuity or quality Not: 🔸Number of logins 🔸Lines of code shipped 🔸How fast we deployed When goals are shared, meaningful, and grounded in real care, 🔸Teams stay focused 🔸Results are credible 🔸Patients feel the difference Define success. Measure what matters. That’s how we make digital health actually work. What’s one thing you believe we should start measuring - but rarely do in digital health today? #HumanCenteredDesign #SystemsThinking #Interoperability

Most KPI systems fail for a simple reason: They measure activity, not impact. ⚙️❌🎯 Over the years and across different companies, I have learned that KPIs only work when they are designed as a decision-making tool, not as a reporting artifact. 📊➡️🧭 Along the way, I developed a personal twist on the SMART framework, specifically on the “A”, to add real operational granularity and make KPIs truly usable in practice. Why SMART still matters (when used properly) SMART is widely known, yet often applied mechanically. When used with intent, it becomes a powerful alignment tool between vision, strategy, and execution. Here is how we apply it at TDK Ventures: S – Specific 🎯 A KPI must clearly articulate what we are trying to achieve. Precision eliminates ambiguity and prevents teams from optimizing around interpretations rather than outcomes. M – Measurable 📏 If progress cannot be observed, tracked, and discussed, it cannot be managed. Measurement is not about control, it is about learning and course correction. A – Accountable | Achievable | Ambitious This is my personal twist, and where I have seen the biggest difference in practice. 🧱 Accountable (Threshold) The minimum acceptable level, aligned with mission and vision. Missing it means we did not meet our collective expectations. ✅ Achievable (Target) What good execution looks like with the resources, time, and capabilities available. Realistic, credible, and strategically aligned. 🚀 Ambitious (Stretch) The goal that stretches the team beyond its comfort zone. Challenging, aspirational, and motivating. At TDK Ventures, stretch goals push us to do things others have never done before, yet remain achievable through strong teamwork and discipline. This three-level “A” transforms KPIs from static scorecards into living management tools. R – Relevant 🧩 A KPI must matter. If it is not tightly connected to mission and strategy, it becomes noise rather than focus. T – Time-bound ⏳ Deadlines create momentum. Time-boxing is what turns intent into execution. Why this framing works 🔄 Focus on outcomes rather than outputs 👂 Enables honest conversations when reality diverges from plan 🌱 Encourages ambition without sandbagging or reckless heroics I have used this framework before joining TDK, and applying it at TDK Ventures reinforced a simple belief: 👉 Great KPIs do not constrain teams, they liberate them 🔓 When goals are clear, meaningful, and well-calibrated, teams spend less time justifying activity and more time creating impact. 🌍✨ Curious how others have evolved SMART to make it truly work in practice. Always keen to exchange perspectives.

🚀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 the early 1990s, Hilton Hotels faced significant challenges: economic turbulence, industry overbuilding, and a global recession led to declining guest satisfaction and loyalty. Although revenues were growing, the disconnect with customer experience was evident. So, how did Hilton realign and emerge stronger? Hilton revolutionised its strategy by adopting the Balanced Scorecard (BSC) in 1994. Here's how: ☑ Strategic Focus through BSC ↳ Goals included improving guest loyalty, ensuring consistent quality, and sustaining leadership in profit margins and revenue per available room (RevPAR). ↳ Value drivers such as operational effectiveness, revenue maximization, and employee growth were prioritized. ☑ Employee Engagement & Alignment ↳ Clear communication of goals, cascading KPIs, and incentivized programs kept employees focused and motivated. ☑ Technology for Real-Time Insights ↳ Automated reporting enabled faster decision-making and sharper performance analysis. ☑ Continuous Improvement in Execution ↳ Hilton paired the BSC with a Continuous Improvement Process (CIP), addressing gaps systematically and driving results. The results Speak for Themselves 🔹 Guest loyalty rose 9% within three years; Hilton Garden Inn won the J.D. Power Award. 🔹 Profit margins consistently exceeded competitors by 3%. 🔹 Revenue and share prices doubled post-BSC adoption. 🔹 Achieved $36M in cost savings within one year. 🔹 Inducted into the Balanced Scorecard Hall of Fame in 2000. Key Takeaways for Success ✔ Strategic alignment and communication are critical. ✔ Continuous KPI monitoring ensures focus on what matters. ✔ Technology integration amplifies decision-making impact. ✔ Team incentives create shared purpose and drive success. ✔ A clear, simplified vision ensures buy-in at all levels. This case study exemplifies how strategic clarity, execution excellence, and alignment at all levels enabled Hilton Hotels to thrive. Ps. If you like content like this, please follow me 🙏

Using Data to Drive Strategy: To lead with confidence and achieve sustainable growth, businesses must lean into data-driven decision-making. When harnessed correctly, data illuminates what’s working, uncovers untapped opportunities, and de-risks strategic choices. But using data to drive strategy isn’t about collecting every data point — it’s about asking the right questions and translating insights into action. Here’s how to make informed decisions using data as your strategic compass. 1. Start with Strategic Questions, Not Just Data: Too many teams gather data without a clear purpose. Flip the script. Begin with your business goals: What are we trying to achieve? What’s blocking growth? What do we need to understand to move forward? Align your data efforts around key decisions, not the other way around. 2. Define the Right KPIs: Key Performance Indicators (KPIs) should reflect both your objectives and your customer's journey. Well-defined KPIs serve as the dashboard for strategic navigation, ensuring you're not just busy but moving in the right direction. 3. Bring Together the Right Data Sources Strategic insights often live at the intersection of multiple data sets: Website analytics reveal user behavior. CRM data shows pipeline health and customer trends. Social listening exposes brand sentiment. Financial data validates profitability and ROI. Connecting these sources creates a full-funnel view that supports smarter, cross-functional decision-making. 4. Use Data to Pressure-Test Assumptions Even seasoned leaders can fall into the trap of confirmation bias. Let data challenge your assumptions. Think a campaign is performing? Dive into attribution metrics. Believe one channel drives more qualified leads? A/B test it. Feel your product positioning is clear? Review bounce rates and session times. Letting data “speak truth to power” leads to more objective, resilient strategies. 5. Visualize and Socialize Insights Data only becomes powerful when it drives alignment. Use dashboards, heatmaps, and story-driven visuals to communicate insights clearly and inspire action. Make data accessible across departments so strategy becomes a shared mission, not a siloed exercise. 6. Balance Data with Human Judgment Data informs. Leaders decide. While metrics provide clarity, real-world experience, context, and intuition still matter. Use data to sharpen instincts, not replace them. The best strategic decisions blend insight with empathy, analytics with agility. 7. Build a Culture of Curiosity Making data-driven decisions isn’t a one-time event — it’s a mindset. Encourage teams to ask questions, test hypotheses, and treat failure as learning. When curiosity is rewarded and insight is valued, strategy becomes dynamic and future-forward. Informed decisions aren't just more accurate — they’re more powerful. By embedding data into the fabric of your strategy, you empower your organization to move faster, think smarter, and grow with greater confidence.

Align your UX metrics to the business KPIs. We've been discussing what makes a KPI in our company. A Key Performance Indicator measures how well a person, team, or organization meets goals. It tracks performance so we can make smart decisions. But what’s a Design KPI? Let’s take an example of a design problem. Consider an initiative to launch a new user dashboard to improve user experience, increase product engagement, and drive business growth. Here might be a few Design KPIs with ways to test them: →  Achieve an average usability of 80% within the first three months post-launch. Measurement: Conduct user surveys and collect feedback through the dashboard's feedback feature using the User Satisfaction Score. →  Ensure 90% of users can complete key tasks (e.g., accessing reports, customizing the dashboard) without assistance. Measurement: Conduct usability testing sessions before and after the launch, analyzing task completion rates. →  Reduce the average time to complete key tasks by 20%. Measurement: Use analytics tools to track and compare time spent on tasks before and after implementing the new dashboard. We use Helio to get early signals into UX metrics before coding the dashboard. This helps us find good answers faster and reduces the risk of bad decisions. It's a mix of intuition and ongoing, data-informed processes. What’s a product and business KPI, then? Product KPI: →  Increase MAU (Monthly Active Users) by 15% within six months post-launch. Measurement: Track the number of unique users engaging with the new dashboard monthly through analytics platforms. →  Achieve a 50% feature adoption rate of new dashboard features (e.g., customizable widgets, real-time data updates) within the first quarter. Measurement: Monitor the usage of new features through in-app analytics. Business KPI: → Drive a 5% increase in revenue attributable to the new dashboard within six months. Measurement: Compare revenue figures before and after the dashboard launch, focusing on user subscription and upgrade changes. This isn't always straightforward! I'm curious how you think about these measurements. #uxresearch #productdiscovery #marketresearch #productdesign

A critical part of journey management in any large organisation is measuring how your journeys perform. 📊 By setting clear goals, monitoring performance, identifying gaps, and measuring improvement impact, you create a continuous cycle of management and enhancement. Measurement surfaces opportunities and kickstarts improvements. 🚀 Yet many organisations struggle: data sits in silos, teams measure inconsistently, and dashboards report numbers without a coherent story. Product, marketing, sales, service, and digital teams collect valuable insights, but without a common language, they never combine into a unified performance view. The result? Plenty of activity, little clarity on what actually improves customer experience and business performance. Measuring performance along specific journeys—rather than isolated KPIs—provides the right context: the journey itself. 🗺️ This approach transforms your journey framework into an engine for improving both customer experience and business performance holistically, creating a shared structure and language where different KPIs unite. 🧭 Inspired by the Balanced Scorecard, this pragmatic 3x3 Matrix structures performance measurement across two dimensions: 👉 First, it distinguishes 3 performance metric categories: - Customer performance (behavior and sentiment) - Commercial performance (conversion, customer base, revenue) - Operational performance (cost, efficiency, reliability) 👉 Second, it distinct three journey hierachy levels: - Overall customer lifecycle - End-to-end product or service journey - Individual customer tasks These intersecting dimensions ensure each metric sits logically within a complete, coherent view. The visual below shows example metrics for all nine sections, helping you build a balanced measurement framework for journeys. This matrix delivers three immediate benefits: ✨ 1. It aligns siloed KPIs and contextualizes them into a shared journey 2. It enables drill-down and aggregation through connected KPIs across journey levels 3. It surfaces trade-offs and synergies between performance metrics A few quick tips to take into account when drafting or structuring your own journey-driven measurement framework 👇👇👇 🐌 Consider both leading and lagging indicators for a robust measurement approach that balances early warning signs with outcome metrics.  🤲 Don’t collect everything. Start with a North Star KPI for each journey, and add a small set of supporting metrics. Less is more. 💬 Always mix performance metrics with more qualitative feedback and insights that will help you determine why performance is down and how to fix it. Happy measuring! 🎉

Most projects fail for the same reason. Leaders track outputs, but ignore the signals that show if the project is healthy. The truth is, you cannot manage what you do not measure. Here are 15 KPIs that separate successful project managers from the rest: → Project Timeline Adherence: % of tasks completed on time. → Budget Variance: difference between planned vs. actual spend. → Resource Utilisation: how effectively resources are used. → Task Completion Rate: % of tasks finished compared to total. → Project Velocity: speed of task completion over time. → Customer Satisfaction: client feedback and survey results. → Risk Management Effectiveness: how well risks are identified and mitigated. → Quality of Deliverables: accuracy and alignment with standards. → Stakeholder Engagement: level of involvement and communication. → Change Request Rate: frequency of changes during execution. → Team Morale: overall satisfaction of the project team. → Issue Resolution Time: how fast blockers are removed. → Scope Creep: changes compared to the original plan. → Return on Investment (ROI): financial returns vs. project cost. → Communication Effectiveness: clarity and efficiency within the team. Strong leaders do not wait for the project to collapse before they look at the data. They watch these metrics closely, fix issues early, and deliver results with confidence.

Most strategies don’t fail on paper. They fail in execution. After building Balanced Scorecards for fintechs, banks, and high-growth teams across 3 continents Here’s what I’ve learned: You can’t scale strategy if you can’t see it across the org. That’s what a Balanced Scorecard fixes. It aligns mission, action and measurement without getting lost in PowerPoint. 💰 Financial Perspective ↳ Tie every initiative to revenue, margin, or cost impact. ↳ If it doesn’t move the P&L, it’s a distraction. 🧑⚖️ Customer Perspective ↳ Define and double down on your most valuable segments. ↳ Track retention, satisfaction, and share of wallet like a hawk. 🛠️ Internal Process Perspective ↳ Identify where execution slows down then fix it fast. ↳ Automate routine tasks, focus humans on value creation. 📈 Learning & Growth Perspective ↳ Strategy dies without capability, invest early in people and tools. ↳ Build a culture that learns faster than it changes. Most teams don’t lack strategy. They lack a system to execute it, consistently. Are you building strategy dashboards or execution systems? ♻️ Repost to raise the standard for strategy that gets executed. 🔔 Follow Nadir Ali for strategy, leadership & productivity insights.