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| Criterion |  Decision Making Decision Tree |  Knowledge Modeling Event Modeling |  Decision Making Pre-Mortem |  Decision Making Constraint Analysis |
|---|---|---|---|---|
Purposedifferent | For decisions with follow-on paths and dependencies, a linear comparison is often not enough. A Decision Tree shows how options branch under conditions and which consequences hang on each branch. | 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. | 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. | 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 | Medium | Medium | Low | Low |
Timedifferent | 30-90 min | 2-6 h | 20–45 min | 30-90 min |
Participantsdifferent | 1-6 | 2-8 | Small cross-functional group | 2-8 |
Formatdifferent | Workshop + async | Workshop + async | Workshop | Workshop + async |
Outputdifferent | Decision Tree, Option Map, Assumption List | Event Model, UI Flow, Commands, Read Models | Risk list, Mitigation plan, Assumption log | Constraint List, Hard/Soft Classification, Option Impact Notes, Decision Boundaries |
Tagsno overlap | DecisionTreeOptions | EventsBlueprintDomain-Driven DesignBehavior | RiskDecisionFailurePlanning | ConstraintsDecisionPlanningOptions |