Reference
Data.
A short reminder. Follow a lesson for the decision behind the term.
KPI
A metric selected to track progress toward an important objective.
Why a PM cares: It should have a clear definition and influence a real decision.
Explore in lesson 31 →North Star metric
A chosen shared measure intended to represent recurring product value.
Why a PM cares: It can align investment but needs guardrails and evidence that the proxy remains useful.
Explore in lesson 32 →Funnel
A defined sequence of user actions measured for an eligible population and time window.
Why a PM cares: It helps locate loss in a journey before choosing an intervention.
Explore in lesson 33 →Activation
An early behavior that plausibly indicates a user or account has experienced value.
Why a PM cares: Setup completion alone is not enough; validate the relationship to later success.
Explore in lesson 34 →Cohort
A group sharing a defined starting event or characteristic.
Why a PM cares: Comparing groups at the same age helps separate acquisition growth from retention quality.
Explore in lesson 35 →Retention
Repeat activity by a defined population after a defined interval.
Why a PM cares: The return event, cadence, and denominator determine what the number means.
Explore in lesson 35 →Instrumentation
The system of events and properties used to record product behavior.
Why a PM cares: Incorrect events can imitate a product improvement or conceal a failure.
Explore in lesson 36 →Selection bias
A distortion caused by who is included in or excluded from the observed data.
Why a PM cares: Feedback from active users may omit the people whose problems caused them to leave.
Explore in lesson 39 →A/B test
A controlled comparison using assignment to different experiences.
Why a PM cares: Valid design and measurement help estimate effects, but uncertainty and interference still matter.
Explore in lesson 38 →