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| Criterion |  Product Discovery Dual-Track Agile |  Product Strategy DIBB |  Decision Making OODA Loop |  Decision Making Delphi Method |
|---|---|---|---|---|
Purposedifferent | When uncertainty and delivery run in parallel, it separates learning work from implementation while keeping both connected. It prevents unvalidated ideas from falling directly into the delivery stream. | 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 | In dynamic situations, decisions become outdated faster than they can be prepared.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. | 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. |
Complexitydifferent | Medium | Low | Medium | High |
Timedifferent | Laufend, Wochen bis Monate | 1-2 h | 15-60 min je Zyklus | 1-4 Wochen |
Participantsdifferent | 4-10 | 2-8 | 1-8 | 6-30 Experten |
Formatdifferent | Workshop + async | Workshop + async | Workshop + async | Async |
Outputdifferent | Discovery Backlog, Delivery Backlog, Experiment-Ergebnisse, Validierte Stories | DIBB document, Belief list, Bet list, Learning report | Situation Assessment, Decision Loop, Action Updates | Expert Forecast, Consensus Range, Assumption Notes |
Tagsno overlap | AgileDiscoveryDelivery | StrategyDecisionAssumptionsHypothesis | DecisionChangeLearningStrategy | ForecastingExpertsDecisionStrategy |