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| Criterion |  Innovation Design Thinking |  Systems Thinking Future Reality Tree |  Product Strategy DIBB |  Decision Making OODA Loop |
|---|---|---|---|---|
Purposedifferent | For complex user problems with an uncertain cause, the method connects observation, interpretation, and experiment into a learning cycle. It keeps the focus on real needs and avoids premature solution language. This produces robust decisions for product and service. | 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. | 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. | In dynamic situations, decisions become outdated faster than they can be prepared.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 | High | High | Low | Medium |
Timedifferent | 1 Tag bis mehrere Wochen | 2-4 h | 1-2 h | 15-60 min je Zyklus |
Participantsdifferent | 4-10 | 3-8 | 2-8 | 1-8 |
Formatdifferent | Workshop | Workshop | Workshop + async | Workshop + async |
Outputdifferent | Problem Statement, Prototype, Test Learnings | Future Reality Tree, Negative Branches, Assumption List, Improved Injections | DIBB document, Belief list, Bet list, Learning report | Situation Assessment, Decision Loop, Action Updates |
Tagsno overlap | InnovationPrototypeResearch | Theory of ConstraintsSystems thinkingChange | StrategyDecisionAssumptionsHypothesis | DecisionChangeLearningStrategy |