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| Criterion |  Growth Flywheel |  Decision Making Three-Point 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. | A single estimate for effort, time, or risk often looks too smooth for the real uncertainty behind it. It separates options, evaluation criteria, and open risks. The result is captured as a Three-Point Estimate, Risk Range, and Assumption 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 | 10-30 min je Item | 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 | Three-Point Estimate, Risk Range, Assumption Notes | Experiment results, Decision log, Learning summary | Funnel report, Drop-off analysis, Optimization hypotheses |
Tagsno overlap | GrowthRetentionConversion | EstimationUncertaintyForecasting | ExperimentsGrowthAnalyticsValidation | AnalyticsConversionGrowth |