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| Criterion |  Product Discovery Product Kata |  Decision Making Delphi Method |  Product Strategy DIBB |  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. | 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. | 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 | In dynamic situations, decisions become outdated faster than they can be prepared.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 | Medium | High | Low | Medium |
Timedifferent | 1-2 Wochen je Loop | 1-4 Wochen | 1-2 h | 15-60 min je Zyklus |
Participantsdifferent | 3-10 | 6-30 Experten | 2-8 | 1-8 |
Formatdifferent | Workshop + async | Async | Workshop + async | Workshop + async |
Outputdifferent | Direction, Current metric, Target metric, Experiment note, Learning report | Expert Forecast, Consensus Range, Assumption Notes | DIBB document, Belief list, Bet list, Learning report | Situation Assessment, Decision Loop, Action Updates |
Tagsno overlap | OutcomesDiscoveryLearningIterationCoaching | ForecastingExpertsDecisionStrategy | StrategyDecisionAssumptionsHypothesis | DecisionChangeLearningStrategy |