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| Criterion |  Product Discovery Kano Model |  Decision Making Delphi Method |  Decision Making OODA Loop |  Product Strategy DIBB |
|---|---|---|---|---|
Purposedifferent | When features need to be distinguished by their effect on satisfaction, it makes expectations and surprises comparable. It separates basic needs, performance contribution, and delight. | 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 | In dynamic situations, decisions become outdated faster than they can be prepared.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. | 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 | Medium | High | Medium | Low |
Timedifferent | 1-2 Tage | 1-4 Wochen | 15-60 min je Zyklus | 1-2 h |
Participantsdifferent | 10-50 | 6-30 Experten | 1-8 | 2-8 |
Formatdifferent | Workshop + async | Async | Workshop + async | Workshop + async |
Outputdifferent | Kano Matrix, Feature Classes, Priority Themes | Expert Forecast, Consensus Range, Assumption Notes | Situation Assessment, Decision Loop, Action Updates | DIBB document, Belief list, Bet list, Learning report |
Tagsno overlap | SatisfactionPrioritizationCustomer | ForecastingExpertsDecisionStrategy | DecisionChangeLearningStrategy | StrategyDecisionAssumptionsHypothesis |