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| Criterion | ![]() Decision Making Pre-Mortem | ![]() Domain Modeling EventStorming | ![]() Decision Making Decision Tree | ![]() Knowledge Modeling Event Modeling |
|---|---|---|---|---|
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. | When a domain consists of many events, rules, and states, it creates a shared modeling space for the team. It bundles language, flows, and boundaries before domain knowledge fragments into siloed views. | 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. |
Complexitydifferent | Low | Medium | Medium | Medium |
Timedifferent | 20–45 min | 2-8 h | 30-90 min | 2-6 h |
Participantsdifferent | Small cross-functional group | 5-12 | 1-6 | 2-8 |
Formatdifferent | Workshop | Workshop | Workshop + async | Workshop + async |
Outputdifferent | Risk list, Mitigation plan, Assumption log | Event Timeline, Ubiquitous Language, Boundaries, Open Questions | Decision Tree, Option Map, Assumption List | Event Model, UI Flow, Commands, Read Models |
Tagsno overlap | RiskDecisionFailurePlanning | Domain-Driven DesignEventsDiscoveryWorkshop | DecisionTreeOptions | EventsBlueprintDomain-Driven DesignBehavior |



