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| Criterion |  Decision Making Pre-Mortem |  Knowledge Modeling Event Modeling |  Growth A/B Testing |  Decision Making Constraint Analysis |
|---|---|---|---|---|
Purposedifferent | In early initiatives with many uncertainties, planning quickly turns too optimistic. A pre-mortem makes the expected failure visible in advance and sharpens the view of causes, gaps, and countermeasures. | Event Modeling connects business workflows with commands, events, and views into one coherent mental model. It helps design behavior, UI, and technical slices from the same underlying logic. | 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. | When an initiative stalls, the limit often lies not in the idea but in hard or soft boundary conditions. Constraint Analysis separates these limits and shows which of them can actually be shaped. |
Complexitydifferent | Low | Medium | High | Low |
Timedifferent | 20–45 min | 2-6 h | 1-4 Wochen | 30-90 min |
Participantsdifferent | Small cross-functional group | 2-8 | 1-6 | 2-8 |
Formatdifferent | Workshop | Workshop + async | Async | Workshop + async |
Outputdifferent | Risk list, Mitigation plan, Assumption log | Event Model, UI Flow, Commands, Read Models | Experiment results, Decision log, Learning summary | Constraint List, Hard/Soft Classification, Option Impact Notes, Decision Boundaries |
Tagsno overlap | RiskDecisionFailurePlanning | EventsBlueprintDomain-Driven DesignBehavior | ExperimentsGrowthAnalyticsValidation | ConstraintsDecisionPlanningOptions |