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| Criterion |  Agile NoEstimates |  Decision Making Decision Tree |  Delivery Monte Carlo Forecasting |  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. | For decisions with follow-on paths and dependencies, a linear comparison is often not enough. A Decision Tree shows how options branch under conditions and which consequences hang on each branch. | 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. | 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 | Medium | High | High |
Timedifferent | laufend | 30-90 min | 30-90 min Setup, danach laufend | 1-4 Wochen |
Participantsdifferent | 2-12 | 1-6 | 1-8 | 6-30 Experten |
Formatdifferent | Workshop + async | Workshop + async | Workshop + async | Async |
Outputdifferent | Throughput Data, Flow Forecast, Slicing Rules | Decision Tree, Option Map, Assumption List | Forecast Percentiles, Throughput Dataset, Risk Communication | Expert Forecast, Consensus Range, Assumption Notes |
Tagsno overlap | EstimationForecastingFlow | DecisionTreeOptions | ForecastingFlowDelivery | ForecastingExpertsDecisionStrategy |