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| Criterion |  Delivery Monte Carlo Forecasting |  Systems Thinking Future Reality Tree |  Decision Making Delphi Method |  Delivery Cost of Delay |
|---|---|---|---|---|
Purposedifferent | 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. | A Future Reality Tree shows how desired actions are meant to lead to a better system state. The method checks whether a path of change holds together logically before time flows into implementation. | 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. | Helps clarify scope, order, and delivery flow in concrete terms. It makes work, constraints, and sequence manageable. The result is captured as a Cost of Delay table and prioritization sequence. |
Complexitysame | High | High | High | High |
Timedifferent | 30-90 min Setup, danach laufend | 2-4 h | 1-4 Wochen | 90-180 min |
Participantsdifferent | 1-8 | 3-8 | 6-30 Experten | 3-8 |
Formatdifferent | Workshop + async | Workshop | Async | Workshop |
Outputdifferent | Forecast Percentiles, Throughput Dataset, Risk Communication | Future Reality Tree, Negative Branches, Assumption List, Improved Injections | Expert Forecast, Consensus Range, Assumption Notes | CoD Table, Prioritization Sequence |
Tagsno overlap | ForecastingFlowDelivery | Theory of ConstraintsSystems thinkingChange | ForecastingExpertsDecisionStrategy | PrioritizationDeliveryEconomicsDecision |