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| Criterion |  Agile NoEstimates |  Delivery Monte Carlo Forecasting |  Decision Making OODA Loop |  Decision Making Delphi Method |
|---|---|---|---|---|
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 | In dynamic situations, decisions become outdated faster than they can be prepared.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. | 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 | High | Medium | High |
Timedifferent | laufend | 30-90 min Setup, danach laufend | 15-60 min je Zyklus | 1-4 Wochen |
Participantsdifferent | 2-12 | 1-8 | 1-8 | 6-30 Experten |
Formatdifferent | Workshop + async | Workshop + async | Workshop + async | Async |
Outputdifferent | Throughput Data, Flow Forecast, Slicing Rules | Forecast Percentiles, Throughput Dataset, Risk Communication | Situation Assessment, Decision Loop, Action Updates | Expert Forecast, Consensus Range, Assumption Notes |
Tagsno overlap | EstimationForecastingFlow | ForecastingFlowDelivery | DecisionChangeLearningStrategy | ForecastingExpertsDecisionStrategy |