Build a coherent metric tree so your whole team measures what matters and ignores what doesn't.
Data & AnalyticsPDF · 13 pages· v1.0
4.6Teams drown in metrics. Every dashboard shows different numbers, every team optimizes its own, and no one can say what actually drives the business. A metrics framework fixes this by organizing everything you measure into a single, logical tree, from one North Star down to the input metrics teams can move. This guide is for founders, product leaders, heads of growth, and analysts who need to bring order to measurement. You will learn to choose a North Star metric that genuinely reflects customer value (not vanity), then decompose it into the handful of drivers beneath it, then into the team-level input metrics that roll up cleanly. You will learn the crucial distinction between output metrics (lagging results you cannot directly control, like revenue) and input metrics (leading actions you can, like outbound emails sent or activation rate), and why teams should be held to inputs. The guide covers counter-metrics that prevent gaming, how to set targets, and Goodhart's Law, what happens when a measure becomes a target. It includes complete worked metric trees for a SaaS product, an e-commerce store, and a content/media business, so you can see the method applied, not just described. The outcome: one page that shows how every metric connects to the business, agreement across teams on what matters, and a tool for prioritization, when a project does not move a node on the tree, you can say no with confidence.
It is the single metric that best captures the value your product delivers to customers, such that growing it sustainably grows the business. The guide gives a rubric for choosing a good one and warns against common vanity choices like total signups.
A dashboard displays numbers. A metrics framework decides which numbers matter and how they relate. You build the framework first; the dashboard renders a slice of it. They pair well.
The three examples (SaaS, e-commerce, content) cover the most common models and show the method clearly. The included worksheet walks you through adapting the method to your specific business even if it is none of those three.
It is the principle that when a measure becomes a target, it stops being a good measure, because people optimize the number rather than the goal. The guide shows how counter-metrics and choosing input metrics carefully reduce this risk.
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