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| Criterion |  Growth A/B Testing |  Delivery Cost of Delay |  Business Strategy Ansoff Matrix |  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. | 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. | The Ansoff Matrix organizes growth options by market and product relation. It helps weigh expansion, diversification, and adaptation cleanly against each other. | 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 | High | Low | Low |
Timedifferent | 1-4 Wochen | 90-180 min | 45-90 min | 1-5 Tage |
Participantsdifferent | 1-6 | 3-8 | 2-8 | Nutzertraffic |
Formatdifferent | Async | Workshop | Workshop + async | Async |
Outputdifferent | Experiment results, Decision log, Learning summary | CoD Table, Prioritization Sequence | Ansoff Matrix, Growth Options, Risk Notes | Interest Metrics, Conversion Signal, Learning Note |
Tagsno overlap | ExperimentsGrowthAnalyticsValidation | PrioritizationDeliveryEconomicsDecision | GrowthStrategyMarketPortfolio | ValidationExperimentsDemandGrowth |