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| Criterion |  Growth Flywheel |  Decision Making PERT Estimation |  Growth A/B Testing |  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. | On complex initiatives, a plain average tends to understate just how uncertain the outcome really is. It separates options, evaluation criteria, and open risks. The result is captured as a PERT Estimate, Expected Value, and Risk Notes. | 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. | 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 | Medium | High | Medium |
Timedifferent | 60-120 min | 15-45 min | 1-4 Wochen | 1-3 h |
Participantsdifferent | 3-8 | 1-8 | 1-6 | 1-5 |
Formatdifferent | Workshop | Workshop + async | Async | Async |
Outputdifferent | Flywheel Map, Friction Points, Growth Levers, Experiment Backlog | PERT Estimate, Expected Value, Risk Notes | Experiment results, Decision log, Learning summary | Funnel report, Drop-off analysis, Optimization hypotheses |
Tagsno overlap | GrowthRetentionConversion | EstimationUncertaintyRisk | ExperimentsGrowthAnalyticsValidation | AnalyticsConversionGrowth |