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| Criterion |  Decision Making Decision Tree |  Knowledge Modeling Event Modeling |  Engineering Failure Scenario Analysis |  Decision Making Assumption Surfacing |
|---|---|---|---|---|
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 critical processes, it is not enough to plan only for the normal case. Failure Scenario Analysis looks at the path into failure and shows which failures, chains, and control gaps cause the most damage. | Plans often contain assumptions that were never openly stated and remain dangerous precisely because of that. Assumption Surfacing makes these silent premises visible and prioritizes which of them carry the initiative or could sink it. |
Complexitydifferent | Medium | Medium | Medium | Low |
Timedifferent | 30-90 min | 2-6 h | 1-3 h | 45-90 min |
Participantsdifferent | 1-6 | 2-8 | 3-8 | 2-8 |
Formatdifferent | Workshop + async | Workshop + async | Workshop | Workshop + async |
Outputdifferent | Decision Tree, Option Map, Assumption List | Event Model, UI Flow, Commands, Read Models | Failure Scenarios, Risk Notes, Control Gaps, Test and Response Actions | Assumption List, Critical Assumptions, Learning Plan |
Tagsno overlap | DecisionTreeOptions | EventsBlueprintDomain-Driven DesignBehavior | FailureResilienceRisk | AssumptionsRiskDecisionDiscovery |