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| Criterion |  Growth Flywheel |  Growth A/B Testing |  Decision Making Trade-off Analysis |  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. | With limited resources, quality, speed, cost, and risk almost always compete with each other. Trade-off Analysis makes these tensions explicit and prevents decisions from producing hidden side effects. | 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 | Medium | Low |
Timedifferent | 60-120 min | 1-4 Wochen | 45-120 min | 1-5 Tage |
Participantsdifferent | 3-8 | 1-6 | 2-8 | Nutzertraffic |
Formatdifferent | Workshop | Async | Workshop + async | Async |
Outputdifferent | Flywheel Map, Friction Points, Growth Levers, Experiment Backlog | Experiment results, Decision log, Learning summary | Trade-off Matrix, Criteria List, Decision Rationale, Accepted Downsides | Interest Metrics, Conversion Signal, Learning Note |
Tagsno overlap | GrowthRetentionConversion | ExperimentsGrowthAnalyticsValidation | TradeoffsDecisionCriteriaOptions | ValidationExperimentsDemandGrowth |