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| Criterion |  Agile NoEstimates |  Delivery Monte Carlo Forecasting |  Decision Making OODA Loop |  Product Strategy DIBB |
|---|---|---|---|---|
Purposedifferent | When estimating slows a team down more than it helps, it shifts the focus to flow, small slices, and real lead time. It sorts work by value, risk, and delivery ability. The result is captured as Throughput Data, Flow Forecast, and Slicing Rules. | Helps clarify scope, sequence, and delivery flow in concrete terms. It makes work, boundaries, and order steerable. The result is captured as Forecast Percentiles, Throughput Dataset, and Risk Communication. | In dynamic situations, decisions become outdated faster than they can be prepared.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 | laufend | 30-90 min Setup, danach laufend | 15-60 min je Zyklus | 1-2 h |
Participantsdifferent | 2-12 | 1-8 | 1-8 | 2-8 |
Formatsame | Workshop + async | Workshop + async | Workshop + async | Workshop + async |
Outputdifferent | Throughput Data, Flow Forecast, Slicing Rules | Forecast Percentiles, Throughput Dataset, Risk Communication | Situation Assessment, Decision Loop, Action Updates | DIBB document, Belief list, Bet list, Learning report |
Tagsno overlap | EstimationForecastingFlow | ForecastingFlowDelivery | DecisionChangeLearningStrategy | StrategyDecisionAssumptionsHypothesis |