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| Criterion |  Growth Flywheel |  Engineering Golden Path |  Growth Hooked Model |  Growth A/B Testing |
|---|---|---|---|---|
Purposedifferent | 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 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. | The Hooked Model helps clarify engagement loops, user behavior, and experiments. It makes repeat behavior measurable and captures the result as a hooked loop, trigger map, and reward design. | 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 | Medium | High |
Timedifferent | 60-120 min | 1-3 Tage Setup, laufend | Multiple workshops over several weeks | 1-4 Wochen |
Participantsdifferent | 3-8 | 2-8 | 2-8 | 1-6 |
Formatdifferent | Workshop | Workshop + async | Workshop + async | Async |
Outputdifferent | Flywheel Map, Friction Points, Growth Levers, Experiment Backlog | Golden Path Guide, Templates, Quality Checks | Hooked loop, Trigger map, Reward design, Ethics check | Experiment results, Decision log, Learning summary |
Tagsno overlap | GrowthRetentionConversion | EngineeringProductivityGovernance | GrowthBehaviorRetention | ExperimentsGrowthAnalyticsValidation |