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| Criterion |  Growth A/B Testing |  Growth Flywheel |  Growth North Star Metric |
|---|---|---|---|
Purposedifferent | When two variants compete, discussions quickly decide by taste rather than effect. A/B Testing checks behavior under controlled conditions and separates real improvement from chance or expectation effects. | Growth often breaks down where a reinforcing mechanism builds up too much friction. A Flywheel shows the cycle of value, repetition, and reinforcement meant to sustain growth. | When product teams track many metrics, the view of the actual customer outcome easily gets lost. A North Star Metric bundles growth, usage, and value contribution into one signal that makes the system's direction visible. |
Complexitydifferent | High | Medium | Medium |
Timedifferent | 1-4 Wochen | 60-120 min | 1-2 h |
Participantsdifferent | 1-6 | 3-8 | 3-8 |
Formatdifferent | Async | Workshop | Workshop + async |
Outputdifferent | Experiment results, Decision log, Learning summary | Flywheel Map, Friction Points, Growth Levers, Experiment Backlog | North Star metric, Input metric tree, Measurement cadence |
Tags1 shared | ExperimentsGrowthAnalyticsValidation | GrowthRetentionConversion | GrowthMetricsAlignmentRetention |
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