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| Criterion |  Decision Making Eisenhower Matrix |  Delivery Cost of Delay |  Product Discovery Assumption Mapping |  Growth A/B Testing |
|---|---|---|---|---|
Purposedifferent | It separates true priorities from noise so it becomes clear what should be done now, scheduled, delegated, or dropped. | 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 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 | Low | High | Medium | High |
Timedifferent | 15-30 min | 90-180 min | 45-60 min | 1-4 Wochen |
Participantsdifferent | 1-6 | 3-8 | 2-8 | 1-6 |
Formatdifferent | Workshop + async | Workshop | Workshop + async | Async |
Outputdifferent | Eisenhower Matrix, Action List, Delegation Notes | CoD Table, Prioritization Sequence | Assumption map, Test backlog, Risk ranking | Experiment results, Decision log, Learning summary |
Tagsno overlap | PrioritizationFocusTasks | PrioritizationDeliveryEconomicsDecision | AssumptionsRiskExperimentsValidation | ExperimentsGrowthAnalyticsValidation |