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| Criterion |  Operations Visual Management |  Growth Growth Experiment |  Growth Flywheel |  Growth A/B Testing |
|---|---|---|---|---|
Purposedifferent | With high tempo and many parallel topics, the method makes status, deviations, and priorities visible at a glance. It reduces search effort and prevents what matters from getting lost in daily work. | When growth ideas surface quickly, the temptation to build immediately instead of learning is high. A Growth Experiment frames an assumption so target group, lever, and measurement are clear before the first deployment. | 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 | Low | Medium | Medium | High |
Timedifferent | Ongoing | 1-2 Wochen | 60-120 min | 1-4 Wochen |
Participantsdifferent | 1-20 | 1-6 | 3-8 | 1-6 |
Formatdifferent | Workshop + async | Workshop + async | Workshop | Async |
Outputdifferent | Visual Board, Status Indicators, Exception Cues | Experiment card, Result summary, Next bet | Flywheel Map, Friction Points, Growth Levers, Experiment Backlog | Experiment results, Decision log, Learning summary |
Tagsno overlap | SignalsOperationsVisual management | MarketingGrowthExperimentsLearning | GrowthRetentionConversion | ExperimentsGrowthAnalyticsValidation |