Product metrics and analytics is the discipline product managers use to turn raw user behavior into evidence for what to build, fix, or kill next. It sits downstream of roadmapping: once a plan ships, metrics are the only honest way to know whether that work actually moved the business rather than simply shipped on schedule. The real skill is not memorizing formulas but knowing which single number a decision genuinely hinges on, since most teams drown in dashboards yet still can't say whether last quarter's biggest bet worked. Correlation is the trap that catches almost everyone — an action that correlates with retention, like inviting a teammate, isn't automatically a lever that causes retention, and mistaking the two wastes entire roadmaps on features that look good in a chart but move nothing in reality.
What This Cheat Sheet Covers
This topic spans 11 focused tables and 55 indexed concepts. Below is a complete table-by-table outline of this topic, spanning foundational concepts through advanced details.
A jump-to index of every table row in this cheat sheet.
An interactive map of every table and concept in this topic.
Table 1: Foundational Metrics Frameworks
Before tracking a single number, product teams need a shared framework for which numbers matter and why. These models give structure to an otherwise overwhelming ocean of trackable events, and choosing the right one shapes every metric decision that follows.
| Framework | Example | Description |
|---|---|---|
Facebook (early days): # users adding 7 friends in 10 days | The single metric that best captures the value customers get from a product; ties customer value directly to business strategy so every team optimizes toward the same outcome. | |
Acquisition → Activation → Retention → Referral → Revenue | Dave McClure's five-stage funnel mapping the full customer lifecycle. • Each stage gets its own dedicated metric • Reveals exactly where users drop out of the journey. | |
Happiness (NPS)Engagement (visits/week)Adoption (new signups)Retention (renewal rate)Task success (search success rate) | Google's five-category model for measuring user experience quality, built by mapping goals → signals → metrics; teams usually focus on just one or two categories at a time. | |
NSM = breadth × depth × frequency × efficiency | Breaks the North Star into 3-5 input metrics teams can directly influence, turning one abstract goal into ownable, actionable levers. |