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| Criterion |  Product Discovery Opportunity Solution Tree |  Knowledge Modeling Event Modeling |  Product Strategy DIBB |
|---|---|---|---|
Purposedifferent | When discovery keeps swinging between goals, ideas, and learning loops, it creates clear steering logic. It connects the desired outcome, opportunities, and experiments into a legible structure. | 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. |
Complexitydifferent | Medium | Medium | Low |
Timedifferent | 1-2 h Setup, laufend | 2-6 h | 1-2 h |
Participantsdifferent | 2-6 | 2-8 | 2-8 |
Formatsame | Workshop + async | Workshop + async | Workshop + async |
Outputdifferent | Opportunity Solution Tree, Experiment Backlog, Learning Log | Event Model, UI Flow, Commands, Read Models | DIBB document, Belief list, Bet list, Learning report |
Tagsno overlap | DiscoveryOutcomesExperimentsOpportunity | EventsBlueprintDomain-Driven DesignBehavior | StrategyDecisionAssumptionsHypothesis |
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