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 | In dynamic situations, decisions become outdated faster than they can be prepared.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



