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| Criterion |  Product Strategy Impact Mapping |  Operations Bottleneck Analysis |  Product Discovery Assumption Mapping |  Growth A/B Testing |
|---|---|---|---|---|
Purposedifferent | 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. | For a flow that backs up at one point, the method looks for the capacity limit with the greatest leverage. It explains why extra effort elsewhere barely improves throughput. | When assumptions still sit unordered in the room, it weighs uncertainty against leverage. It makes visible which hypotheses should be checked first. | 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 | Medium | Medium | Medium | High |
Timedifferent | 45-90 min | 1-3 h | 45-60 min | 1-4 Wochen |
Participantsdifferent | 3-8 | 3-8 | 2-8 | 1-6 |
Formatdifferent | Workshop | Workshop + async | Workshop + async | Async |
Outputdifferent | Impact Map, Outcome Hypotheses, Delivery Options | Bottleneck Map, Flow Metrics, Improvement Options, Follow-up Measures | Assumption map, Test backlog, Risk ranking | Experiment results, Decision log, Learning summary |
Tagsno overlap | OutcomesStrategyBehaviorPlanning | FlowMeasurementConstraints | AssumptionsRiskExperimentsValidation | ExperimentsGrowthAnalyticsValidation |