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! 😊

Defining business-relevant KPIs for your dashboard can be a tricky task. Here is an example I encountered in my early career: 🎯 We were tasked with building a status dashboard for the warehouse management of a large e-commerce company. Together with the stakeholders, we identified the backlog in days as an important KPI that helps them decide on their capacity planning. The backlog should show a relationship between the unprocessed order pool and the next day's average daily processing capacity. We were happy to find an outbound backlog metric ready to be used in our BI system. After a quick review over several days, it looked like we had just found what we needed, so we included the metric in our dashboard. 🚨 Shortly after, our stakeholders complained that the numbers were extremely off compared to the business reality. We soon figured out that while the open order pool items were correct, the assumed average capacity was not. The BI system only contained the actual processed volumes instead of the planned future capacities. Due to the volatile nature of e-commerce, this definition difference of past vs. future values could lead to a completely opposite representation of the current backlog. With one definition, we showed a dramatic backlog of over 5 days, while the correct one would have been a healthy 0.5 days. 🔧 We were able to fix the metric by implementing a process to upload the planned capacities. 𝗟𝗲𝘀𝘀𝗼𝗻𝘀 𝗹𝗲𝗮𝗿𝗻𝗲𝗱: 1. Always check with the stakeholders to understand how they interpret the KPI.     2. Never assume that the number looks good. Check the definition, and if you are unsure, build your own metrics.     3. If you must choose between different definitions, choose the ones that best align with the stakeholder's decision. What challenges did you encounter when defining KPIs? Share your experience in the comments! ---------------- ♻️ 𝗦𝗵𝗮𝗿𝗲 if you find this post useful ➕ 𝗙𝗼𝗹𝗹𝗼𝘄 for more daily insights on how to grow your data analyst career #dataanalytics #datascience #kpis #stakeholdermanagement #dashboards

Everyone talks about KPIs. Almost no one discusses how to design the right ones. Here’s one method that works: the KPI Tree (from Bernie Smith). Here’s how it works: 1. Start with your strategic objectives 2. Break them into themes and tactics 3. Link those directly to measurable KPIs What you get is a cause-and-effect hierarchy. Top of the tree = your strategy Bottom = the metrics that bring it to life Why it works: • Sharpens your strategy → Everyone knows what success looks like • Aligns teams → No more “strategy vs. ops” confusion • Generates your KPI list from the ground up • Filters out noise → Keeps focus on what drives results • Adapts fast when your business shifts • Tells a story → Makes strategy easier to communicate Done right? A KPI Tree doesn’t just organise data. It connects what you’re doing with why you’re doing it. Want smarter, more strategic metrics? Start with a KPI Tree. P.S. Like this kind of content? Hit follow

🚀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

TFW you watch the trio become a confident metrics rockstar - here's how they defined success 😍 -- The biggest shift when moving from project to product is 𝗲𝗺𝗯𝗿𝗮𝗰𝗶𝗻𝗴 𝗼𝘂𝘁𝗰𝗼𝗺𝗲𝘀. → It's no longer just about delivering; it's about making a real difference in your customer's and user's lives. How do you know that you've achieved it? By measuring the impact of the delivered product or feature. But where do you start? 𝗛𝗲𝗿𝗲'𝘀 𝘁𝗵𝗲 𝗽𝗶𝘁𝗳𝗮𝗹𝗹: Most teams start with big outcomes that can only be measured after the success point: → Lagging indicators. I help them find the early signs they’re on the right track: → Leading indicators. The trio in this story is the pilot trio of a niche SMB in Germany that is moving from a project to product org. ↳ They are the pioneers in their company. ↳ They do many things for the first time. ↳ There are the first to work towards outcomes and measure success through leading indicators. Here's how the trio found success metrics for their entirely new product 👇 -- 🎯 The main goal that the trio was working towards was: “𝗥𝗲𝗱𝘂𝗰𝗲 𝗲𝗳𝗳𝗼𝗿𝘁 𝗼𝗳 𝗱𝗼𝗶𝗻𝗴 𝗫 𝗳𝗼𝗿 𝗔𝗰𝘁𝗼𝗿 𝟭.” (anonymized) The "doing X" part involves 2 Actors. At first, it seemed simple. But as soon as it came to actual MEASUREMENTS, it became tricky. 𝗧𝗵𝗲𝗶𝗿 𝘀𝘁𝗲𝗽𝘀 𝘁𝗼 𝘁𝘂𝗿𝗻 𝗼𝘂𝘁𝗰𝗼𝗺𝗲𝘀 𝗶𝗻𝘁𝗼 𝗺𝗲𝘁𝗿𝗶𝗰𝘀 1️⃣ Define “reduce effort” quantitatively. Effort = what? • Task difficulty? • Task reduction? • Time spent per task? The trio chose: “Increase number of [specific task completed] per person in the same amount of time.” But that’s still a lagging indicator. So I asked: How do we measure effort in smaller steps? → Leading indicators for Actor 1 we found: • Reduce process time. • Reduce waiting time. • Reduce tool switches. 2️⃣ Map the whole journey for Actor 1 and 2 We sketched a flow chart, noting • tools • loops • waiting times • and pain points. 3️⃣ Identify what’s actionable. They noticed they can't improve everything. But they can help Actor 1 with: • Fewer tool switches. • Faster parts of the process. • Quicker info retrieval on specific aspects. 4️⃣ Define the improvement in metrics. They turned lagging indicators into leading indicators: see image. And then.... 𝗣𝗟𝗢𝗧 𝗧𝗪𝗜𝗦𝗧!!! They locked themselves away, built a user story map, and 𝗰𝗼𝗺𝗽𝗹𝗲𝘁𝗲𝗹𝘆 𝘀𝗵𝗶𝗳𝘁𝗲𝗱 𝘁𝗵𝗲𝗶𝗿 𝘀𝘁𝗿𝗮𝘁𝗲𝗴𝘆: → Address Actor 2’s challenges by enabling self-management for Actor 2 which unlocks efficiency for Actor 1. And for the new solution, they found their leading indicators without my help 😍💚👏 I love working with this trio 🙏 💚 Helping teams find clarity, build confidence, and become product pros 💚 These are the transformations that I wake up for every day.

🚀 Power BI: Adding Custom Tooltips to KPI Cards! While exploring Power BI capabilities, I discovered a creative workaround to add detailed tooltips to KPI cards - something that's not natively supported! The Challenge 🎯 Standard KPI cards in Power BI lack the ability to show comprehensive tooltip information, limiting user interaction and data exploration. My Solution 💡 I developed a custom HTML-based approach that transforms regular KPI cards into interactive, information-rich components: ✅ HTML-Wrapped DAX Measures: Converted standard measures into HTML format for enhanced styling ✅ Dual Theme Support: Implemented both light and dark modes for better user experience ✅ Dynamic Theming: Created a separate theme table with all color variations ✅ Rich Tooltips: Added detailed breakdowns including Monthly Recurring Revenue, One-time Sales, and Refunds Key Features 🌟 Responsive Design: Adapts to different screen sizes Theme Consistency: Seamless light/dark mode switching Enhanced UX: Detailed information on hover without cluttering the main view Professional Styling: Clean, modern card design with gradients and shadows Implementation Highlights 🔧 // Theme table with comprehensive color schemes Theme = DATATABLE( "ThemeMode", STRING, "ColorType", STRING, "ColorValue", STRING, // Light & Dark theme definitions... ) Important Consideration ⚠️ While this solution works effectively, be mindful of the HTML card container's width as it can overlap with other visuals. Proper positioning and sizing are crucial for optimal user experience. Results 📊 ✨ Enhanced user engagement with interactive KPI cards ✨ Better data storytelling through rich tooltips ✨ Professional, modern dashboard appearance ✨ Improved accessibility with theme options This approach opens up new possibilities for creating more engaging and informative Power BI dashboards. Sometimes the best solutions come from thinking outside the box! Share your experiences in the comments! #PowerBI #DataVisualization #BusinessIntelligence #DAX #HTML #DataAnalytics #Innovation #Dashboard #Microsoft #DataScience

A common partnership snafu is that companies want partnership success, but don’t provide the resources to get there. I heard of a case where a whole marketing team quit, the partnerships team was given no marketing support, and they didn't yet have an integration with product -- and yet, the CEO expected the partnership strategy to deliver instant revenue. Wild. But not uncommon. Partnerships can't thrive in a vacuum. They need cross-functional support—marketing, product integration, sales enablement—all aligned to succeed. Before you set revenue targets for your partnerships, ask yourself: Do we have the resources to support them? If the answer is no, you have to help your leadership teams to reconsider their expectations. To help create the cross-functional support needed for partnerships to thrive, here are four strategies: 1. Involve Cross-Functional Leaders from the Very Beginning Bring key leaders from marketing, sales, and product into the partnership planning phase. Early involvement gives them a sense of ownership and ensures they understand how partnerships align with their own goals. Strategy: Schedule a kick-off meeting with stakeholders from each relevant department. Create a shared roadmap that outlines how partnerships will impact each team and their specific contributions. 2. Tie Partnership Success to Department KPIs To gain buy-in, tie partnership goals directly to the KPIs of each department. Aligning partnership outcomes with what each team is measured on ensures they have skin in the game. Strategy: During planning sessions, ask each department head how partnerships can contribute to their targets. Build specific KPIs for each function into the overall partnership strategy. 3. Create a Resource Exchange Agreement Formalize the support needed from each department with a resource exchange agreement. This sets clear expectations on what each function will contribute—whether it's a dedicated product team member for integrations or marketing resources for co-branded campaigns. It turns vague promises into commitments. Strategy: Draft a simple document that outlines the roles, responsibilities, and deliverables each team will provide, then get sign-off from department heads and the executive team. 4. Demonstrate Early Wins for Buy-In Quick wins go a long way toward securing ongoing resources. Identify a small pilot project with an internal team that shows immediate impact. Whether it's a small co-marketing campaign or a limited integration, these early successes build momentum and demonstrate the value of supporting partnerships. Strategy: Select one or two partners to run a pilot with, focused on delivering measurable outcomes like leads generated or product adoption. Use this success story to demonstrate value to other departments and secure further commitment. Partnership success requires cross-functional alignment. Because partnerships don’t happen in a silo.

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

Over the years, I've discovered the truth: Game-changing products won't succeed unless they have a unified vision across sales, marketing, and product teams. When these key functions pull in different directions, it's a death knell for go-to-market execution. Without alignment on positioning and buyer messaging, we fail to communicate value and create disjointed experiences. So, how do I foster collaboration across these functions? 1) Set shared goals and incentivize unity towards that North Star metric, be it revenue, activations, or retention. 2) Encourage team members to work closely together, building empathy rather than skepticism of other groups' intentions and contributions. 3) Regularly conduct cross-functional roadmapping sessions to cascade priorities across departments and highlight dependencies. 4) Create an environment where teams can constructively debate assumptions and strategies without politics or blame. 5) Provide clarity for sales on target personas and value propositions to equip them for deal conversations. 6) Involve all functions early in establishing positioning and messaging frameworks. Co-create when possible. By rallying together around customers’ needs, we block and tackle as one team towards product-market fit. The magic truly happens when teams unite towards a shared mission to delight users!

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.