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| Criterion |  Knowledge Modeling Event Modeling |  Product Strategy DIBB |  Decision Making Constraint Analysis |  Decision Making Decision Tree |
|---|---|---|---|---|
Purposedifferent | 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. | DIBB helps clarify target groups, value, goals, and priorities by making the logic behind a decision explicit. It captures results as a DIBB document, belief list, bet list, and learning report. | 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. | 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. |
Complexitydifferent | Medium | Low | Low | Medium |
Timedifferent | 2-6 h | 1-2 h | 30-90 min | 30-90 min |
Participantsdifferent | 2-8 | 2-8 | 2-8 | 1-6 |
Formatsame | Workshop + async | Workshop + async | Workshop + async | Workshop + async |
Outputdifferent | Event Model, UI Flow, Commands, Read Models | DIBB document, Belief list, Bet list, Learning report | Constraint List, Hard/Soft Classification, Option Impact Notes, Decision Boundaries | Decision Tree, Option Map, Assumption List |
Tagsno overlap | EventsBlueprintDomain-Driven DesignBehavior | StrategyDecisionAssumptionsHypothesis | ConstraintsDecisionPlanningOptions | DecisionTreeOptions |