displayName
A/B Experiment Lifecycle
workflowKind
data
triggerType
event-driven
typicalCadence
per-experiment
complexity
cross-team
description
Governs the full lifecycle of an A/B experiment — hypothesis formulation,
sample size calculation, feature flag setup, traffic allocation, statistical
analysis, and decision documentation. Excludes feature implementation.