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| Criterion |  Business Strategy Scenario Planning |  Product Discovery Smoke Test |  Product Strategy Impact Mapping |  Growth A/B Testing |
|---|---|---|---|---|
Purposedifferent | Scenario Planning opens the view to several plausible futures instead of a single forecast. The method protects strategies from depending on too narrow an expected path. | 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. | When a goal needs to be connected to several possible paths, it shows chains of impact instead of feature lists. It connects business goal, behavior change, and measures. | 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. |
Complexitydifferent | High | Low | Medium | High |
Timedifferent | 0.5-2 Tage | 1-5 Tage | 45-90 min | 1-4 Wochen |
Participantsdifferent | 4-12 | Nutzertraffic | 3-8 | 1-6 |
Formatdifferent | Workshop | Async | Workshop | Async |
Outputdifferent | Scenario Set, Strategic Implications, Robust Options | Interest Metrics, Conversion Signal, Learning Note | Impact Map, Outcome Hypotheses, Delivery Options | Experiment results, Decision log, Learning summary |
Tagsno overlap | StrategyUncertaintyPlanning | ValidationExperimentsDemandGrowth | OutcomesStrategyBehaviorPlanning | ExperimentsGrowthAnalyticsValidation |