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| Criterion |  Growth Flywheel |  Growth A/B Testing |  Operations PDCA Cycle |  Growth Funnel Analysis |
|---|---|---|---|---|
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 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. | For an improvement that still has to prove itself in everyday work, the method runs it through small learning loops. It connects planning, checking, and standardization into a repeatable learning mode. | When many visitors or users drop off along the way, the reason behind the number often stays hidden. Funnel Analysis exposes these transitions and makes visible exactly where the path collapses. |
Complexitydifferent | Medium | High | Low | Medium |
Timedifferent | 60-120 min | 1-4 Wochen | 1 h bis mehrere Wochen | 1-3 h |
Participantsdifferent | 3-8 | 1-6 | 1-8 | 1-5 |
Formatdifferent | Workshop | Async | Workshop + async | Async |
Outputdifferent | Flywheel Map, Friction Points, Growth Levers, Experiment Backlog | Experiment results, Decision log, Learning summary | PDCA Log, Experiment Plan, Learning Outcome, Standard Change | Funnel report, Drop-off analysis, Optimization hypotheses |
Tagsno overlap | GrowthRetentionConversion | ExperimentsGrowthAnalyticsValidation | Continuous improvementLeanExperiments | AnalyticsConversionGrowth |