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| Criterion |  Product Discovery Product Kata |  Decision Making Decision Tree |  Decision Making Delphi Method |  Decision Making OODA Loop |
|---|---|---|---|---|
Purposedifferent | Product Kata helps clarify customer problems, solution ideas, and evidence through a repeatable improvement routine. It captures direction, current metric, target metric, experiment notes, and learning. | For decisions with follow-on paths and dependencies, a linear comparison is often not enough. A Decision Tree shows how options branch under conditions and which consequences hang on each branch. | When knowledge is distributed and direct dominance should be avoided, groups quickly fall under the sway of their opinion leaders. The Delphi Method gathers assessments iteratively and gradually brings expert judgments closer together. | In dynamic situations, decisions become outdated faster than they can be prepared.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 | Medium | Medium | High | Medium |
Timedifferent | 1-2 Wochen je Loop | 30-90 min | 1-4 Wochen | 15-60 min je Zyklus |
Participantsdifferent | 3-10 | 1-6 | 6-30 Experten | 1-8 |
Formatdifferent | Workshop + async | Workshop + async | Async | Workshop + async |
Outputdifferent | Direction, Current metric, Target metric, Experiment note, Learning report | Decision Tree, Option Map, Assumption List | Expert Forecast, Consensus Range, Assumption Notes | Situation Assessment, Decision Loop, Action Updates |
Tagsno overlap | OutcomesDiscoveryLearningIterationCoaching | DecisionTreeOptions | ForecastingExpertsDecisionStrategy | DecisionChangeLearningStrategy |