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| Criterion | ![]() Knowledge Modeling Event Modeling | ![]() Decision Making Assumption Surfacing | ![]() Product Strategy DIBB | ![]() Product Discovery Assumption Mapping |
|---|---|---|---|---|
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. | 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. | 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 assumptions still sit unordered in the room, it weighs uncertainty against leverage. It makes visible which hypotheses should be checked first. |
Complexitydifferent | Medium | Low | Low | Medium |
Timedifferent | 2-6 h | 45-90 min | 1-2 h | 45-60 min |
Participantssame | 2-8 | 2-8 | 2-8 | 2-8 |
Formatsame | Workshop + async | Workshop + async | Workshop + async | Workshop + async |
Outputdifferent | Event Model, UI Flow, Commands, Read Models | Assumption List, Critical Assumptions, Learning Plan | DIBB document, Belief list, Bet list, Learning report | Assumption map, Test backlog, Risk ranking |
Tagsno overlap | EventsBlueprintDomain-Driven DesignBehavior | AssumptionsRiskDecisionDiscovery | StrategyDecisionAssumptionsHypothesis | AssumptionsRiskExperimentsValidation |



