kpi | kpi dashboard | data visualization | business intelligence | performance metrics | reporting | excel | charts
What You Will Learn:
- Tell the four types of performance indicator apart, and stop calling every number a KPI
- Find the critical success factors of a business with impact mapping and a structured workshop
- Design indicators that survive scrutiny, and kill the ones that cost more than they return
- Choose the right chart for the question, following Stephen Few’s reporting principles
- Build a report hierarchy: what staff see daily, what managers see weekly, what the board sees
- Collect your own data with surveys — design, scales, fieldwork, response rates
- Prepare a dataset, build pivots and run diagnostics with AI instead of manual formulas
- Run regression, forecast with trend lines and design an experiment with a control group
- Learn alongside Mike’s 1.6 million students from 185 countries
- Get the author’s experience from Preply, Wargaming, iDeals and Alfa-Bank
Alright, let’s talk about ‘KPI Dashboard Design: Metrics, Charts and Reporting [EN]’. As someone who’s wrestled with more poorly designed dashboards than I care to admit, I came into this course with a healthy dose of skepticism, hoping it wasn’t just another rehash of basic charting in Excel. Mike’s course, thankfully, cuts through a lot of the fluff and dives deep into what actually makes a performance metric *meaningful* and a dashboard *actionable*.
Overview
If your organization, like many, suffers from “metric proliferation” – where every number gets christened a ‘KPI’ and dashboards are a chaotic jumble of every possible data point – this course is a much-needed intervention. Mike doesn’t just teach you *how* to build charts; he teaches you *how to think* about performance. It’s a strategic deep dive into the philosophy behind effective performance metrics and data visualization. We’re talking about moving beyond just tracking data to actually understanding what drives success, identifying critical areas, and communicating that information in a way that spurs decisions, not just observations. The real gem here is the emphasis on strategic alignment – connecting granular data points all the way up to business objectives using techniques like impact mapping, which is a game-changer for anyone struggling to link daily activities to big-picture goals. It’s a holistic approach to business intelligence, blending foundational concepts with more sophisticated analytical methods.
Prerequisites
While the course covers foundational elements, I’d say a basic familiarity with Excel is essential, as many of the practical exercises and examples leverage its capabilities. You don’t need to be an Excel guru, but comfort with navigating spreadsheets and understanding basic formulas will definitely help you hit the ground running. Beyond that, a general curiosity about data and how it can drive business outcomes is crucial. If you’re a complete novice to data analysis, some of the more advanced topics like regression or experimental design might require a bit more effort, but Mike structures it well enough for ambitious learners. This isn’t strictly for beginners, but it’s designed to take you from a basic understanding of metrics to a more advanced, strategic approach to reporting.
Skills & Tools
This course equips you with a formidable toolkit. You’ll master the art of discerning the four distinct types of performance indicators, ensuring you never mislabel a simple number as a KPI again. Expect to learn how to:
- Apply impact mapping and structured workshops to identify genuine critical success factors.
- Design indicators that are robust, cost-effective, and truly impactful.
- Select the optimal chart type for any given question, adhering to Stephen Few’s authoritative principles of effective data visualization.
- Construct intelligent report hierarchies tailored for different organizational levels (staff, managers, board).
- Conduct effective data collection through surveys, covering design, scales, fieldwork, and improving response rates.
- Utilize Excel for data preparation, building pivots, and performing diagnostics, including leveraging AI-driven insights to streamline processes.
- Implement advanced analytical techniques like regression analysis, forecasting with trend lines, and designing robust experiments with control groups.
The practical emphasis means you’re not just absorbing theory; you’re developing tangible, job-ready skills using industry-standard tools like Excel, complemented by conceptual frameworks for more advanced analytics.
Career Benefits & Job Roles
The skills you gain here are highly transferable and immediately impactful across a spectrum of roles. For Business Analysts, Data Analysts, and BI Developers, this course is almost essential certification prep, deepening your understanding of the ‘why’ behind the ‘what’ in dashboard design. Product Managers, Marketing Analysts, and Operations Managers will find immense value in designing metrics that truly reflect product health, campaign efficacy, or operational efficiency. Anyone in a leadership position, or aspiring to one, who needs to make data-driven decisions will benefit from the robust framework for strategic performance management. It’s about more than just building charts; it’s about translating raw data into clear, actionable insights that drive significant career growth. You’ll learn to identify those crucial performance metrics that genuinely move the needle for any business, setting you apart as someone who can truly leverage data for strategic advantage.
Pros
- Strategic Depth Meets Practical Application: This isn’t just a “how-to” guide for Excel. It starts with high-level strategic thinking (CSFs, impact mapping) and meticulously connects it to the practical execution of dashboard design and reporting, providing a comprehensive, top-down approach.
- Instructor Credibility & Experience: Mike’s background from Preply, Wargaming, and Alfa-Bank, coupled with his massive student following, isn’t just marketing hype. His real-world experience shines through, providing context and insights that elevate the material beyond mere textbook theory. You feel like you’re learning from someone who’s actually “been there.”
- Focus on “Why” Before “How”: The course excels at teaching you to critically evaluate *what* you should be measuring and *why* it matters, before diving into *how* to visualize it. This critical thinking approach to performance measurement is invaluable and often overlooked in other courses.
- Beyond Basic Charting: While Excel charts are covered, the emphasis on Stephen Few’s principles and the strategic hierarchy of reports ensures you’re designing truly effective, communicative dashboards, not just aesthetically pleasing ones. The inclusion of survey design and advanced analytics like regression also pushes it into the “advanced” category, offering significant depth.
Cons
- While incredibly strong on foundational principles and practical application within Excel, those specifically seeking deep dives into advanced functionalities of dedicated business intelligence platforms like Power BI, Tableau, or Looker Studio for highly interactive, enterprise-level dashboards might find the tool-specific practicals a bit limited. The concepts are universally applicable, but direct, hands-on labs with those specific tools aren’t the primary focus.