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| Criterion |  Growth A/B Testing |  Growth Flywheel |  Product Discovery Landing Page Test |  Product Discovery Smoke Test |
|---|---|---|---|---|
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. | When a value proposition first needs to be checked for resonance, it condenses the idea onto a focused entry page. It shows whether language and offering carry interest. | When demand only needs to be roughly verified, it tests interest with minimal effort. It measures whether people would take a next step at all. |
Complexitydifferent | High | Medium | Medium | Low |
Timedifferent | 1-4 Wochen | 60-120 min | 1-5 Tage | 1-5 Tage |
Participantsdifferent | 1-6 | 3-8 | Nutzertraffic | Nutzertraffic |
Formatdifferent | Async | Workshop | Async | Async |
Outputdifferent | Experiment results, Decision log, Learning summary | Flywheel Map, Friction Points, Growth Levers, Experiment Backlog | Landing Page, Conversion Data, Learning Summary | Interest Metrics, Conversion Signal, Learning Note |
Tagsno overlap | ExperimentsGrowthAnalyticsValidation | GrowthRetentionConversion | ValidationConversionMarketing | ValidationExperimentsDemandGrowth |