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| Criterion |  Engineering Golden Path |  Growth Flywheel |  Growth A/B Testing |
|---|---|---|---|
Purposedifferent | When teams need a reliable default path for frequent use, sprawl quickly emerges without any guiding logic. Golden Path bundles the preferred path so good practice becomes easy and deviation becomes deliberate. | 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 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. |
Complexitydifferent | Medium | Medium | High |
Timedifferent | 1-3 Tage Setup, laufend | 60-120 min | 1-4 Wochen |
Participantsdifferent | 2-8 | 3-8 | 1-6 |
Formatdifferent | Workshop + async | Workshop | Async |
Outputdifferent | Golden Path Guide, Templates, Quality Checks | Flywheel Map, Friction Points, Growth Levers, Experiment Backlog | Experiment results, Decision log, Learning summary |
Tagsno overlap | EngineeringProductivityGovernance | GrowthRetentionConversion | ExperimentsGrowthAnalyticsValidation |
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