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| Criterion |  Product Strategy DIBB |  Knowledge Modeling Competency Questions |  Systems Thinking Future Reality Tree |  Decision Making OODA Loop |
|---|---|---|---|---|
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. | In dynamic situations, decisions become outdated faster than they can be prepared. The OODA Loop holds observing, orienting, deciding, and acting together as a recurring rhythm so reaction does not slide into inertia. |
Complexitydifferent | Low | Medium | High | Medium |
Timedifferent | 1-2 h | 2-4 h | 2-4 h | 15-60 min je Zyklus |
Participantsdifferent | 2-8 | 2-8 | 3-8 | 1-8 |
Formatdifferent | Workshop + async | Workshop + async | Workshop | Workshop + async |
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 | Situation Assessment, Decision Loop, Action Updates |
Tagsno overlap | StrategyDecisionAssumptionsHypothesis | OntologyKnowledge graphScopeRequirementsSemantic | Theory of ConstraintsSystems thinkingChange | DecisionChangeLearningStrategy |