Tech_Interview_Prep

Metrics, KPIs & North Star Frameworks

Choosing the metric that actually reflects whether the product is succeeding, and avoiding vanity metrics.

What it is

Product metrics measure whether the product is actually delivering value — the discipline is picking metrics that can't be gamed and that genuinely reflect user/business outcomes, not just activity.

Key points

  • North Star Metric: a single metric that best captures the core value the product delivers to users (e.g. "weekly active collaborators" for a docs tool) — used to align a whole team around one outcome instead of dozens of disconnected metrics.
  • Leading vs. lagging indicators: leading indicators (feature adoption) predict future outcomes; lagging indicators (revenue, churn) confirm what already happened — both matter, but leading indicators are what let a team react in time.
  • Vanity metrics (total signups, page views) look good but don't reflect actual value delivered — the standard test is "would this metric going up on its own make me happy, or do I need more context first?"
  • Metrics should be tied to a specific decision they'd inform — a metric no one would act differently on is not worth tracking.