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| Criterion |  Growth Flywheel |  Growth A/B Testing |  Delivery Cost of Delay |  Product Discovery Smoke Test |
|---|---|---|---|---|
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. | Helps clarify scope, order, and delivery flow in concrete terms. It makes work, constraints, and sequence manageable. The result is captured as a Cost of Delay table and prioritization sequence. | 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 | Medium | High | High | Low |
Timedifferent | 60-120 min | 1-4 Wochen | 90-180 min | 1-5 Tage |
Participantsdifferent | 3-8 | 1-6 | 3-8 | Nutzertraffic |
Formatdifferent | Workshop | Async | Workshop | Async |
Outputdifferent | Flywheel Map, Friction Points, Growth Levers, Experiment Backlog | Experiment results, Decision log, Learning summary | CoD Table, Prioritization Sequence | Interest Metrics, Conversion Signal, Learning Note |
Tagsno overlap | GrowthRetentionConversion | ExperimentsGrowthAnalyticsValidation | PrioritizationDeliveryEconomicsDecision | ValidationExperimentsDemandGrowth |