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| Criterion |  Product Strategy DIBB |  Knowledge Modeling Competency Questions |  Systems Thinking Future Reality Tree |  Systems Thinking Evaporating Cloud |
|---|---|---|---|---|
Purposedifferent | 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. | Competency Questions translate a domain model into concrete questions that it must be able to answer. The method keeps the model's scope clean and prevents pretty but useless structures. | A Future Reality Tree shows how desired actions are meant to lead to a better system state. The method checks whether a path of change holds together logically before time flows into implementation. | The method makes visible why two seemingly incompatible demands arise and which assumption must be tested to resolve the conflict. |
Complexitydifferent | Low | Medium | High | Medium |
Timedifferent | 1-2 h | 2-4 h | 2-4 h | 60-120 min |
Participantsdifferent | 2-8 | 2-8 | 3-8 | 2-8 |
Formatdifferent | Workshop + async | Workshop + async | Workshop | Workshop |
Outputdifferent | DIBB document, Belief list, Bet list, Learning report | Competency Question Set, Required Concepts, Test Queries, Coverage Matrix | Future Reality Tree, Negative Branches, Assumption List, Improved Injections | Conflict Cloud, Assumption List, Breakthrough Ideas, Next Experiments |
Tagsno overlap | StrategyDecisionAssumptionsHypothesis | OntologyKnowledge graphScopeRequirementsSemantic | Theory of ConstraintsSystems thinkingChange | Theory of ConstraintsAssumptionsSystems thinking |