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| Criterion |  Growth A/B Testing |  Growth Flywheel |  Product Discovery Test Card |  Growth Funnel Analysis |
|---|---|---|---|---|
Purposedifferent | 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. | 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. | The Test Card turns a critical assumption into a testable claim and specifies in advance which result counts as success. | 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 | High | Medium | Low | Medium |
Timedifferent | 1-4 Wochen | 60-120 min | 20-35 min | 1-3 h |
Participantsdifferent | 1-6 | 3-8 | 1-5 | 1-5 |
Formatdifferent | Async | Workshop | Workshop + async | Async |
Outputdifferent | Experiment results, Decision log, Learning summary | Flywheel Map, Friction Points, Growth Levers, Experiment Backlog | Test Card with a pre-set threshold | Funnel report, Drop-off analysis, Optimization hypotheses |
Tagsno overlap | ExperimentsGrowthAnalyticsValidation | GrowthRetentionConversion | ExperimentsValidationDiscoveryHypothesis | AnalyticsConversionGrowth |