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| Criterion |  Delivery Monte Carlo Forecasting |  Decision Making Decision Matrix |  Decision Making Constraint Analysis |  Operations Bottleneck Analysis |
|---|---|---|---|---|
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. | When several options collide with several criteria, comparison quickly becomes subjective. A Decision Matrix makes the trade-off visible and brings weighting, criteria, and options into a shared logic. | When an initiative stalls, the limit often lies not in the idea but in hard or soft boundary conditions. Constraint Analysis separates these limits and shows which of them can actually be shaped. | For a flow that backs up at one point, the method looks for the capacity limit with the greatest leverage. It explains why extra effort elsewhere barely improves throughput. |
Complexitydifferent | High | Medium | Low | Medium |
Timedifferent | 30-90 min Setup, danach laufend | 45-90 min | 30-90 min | 1-3 h |
Participantsdifferent | 1-8 | 2-8 | 2-8 | 3-8 |
Formatsame | Workshop + async | Workshop + async | Workshop + async | Workshop + async |
Outputdifferent | Forecast Percentiles, Throughput Dataset, Risk Communication | Decision Matrix, Scoring Rationale, Selected Option | Constraint List, Hard/Soft Classification, Option Impact Notes, Decision Boundaries | Bottleneck Map, Flow Metrics, Improvement Options, Follow-up Measures |
Tagsno overlap | ForecastingFlowDelivery | DecisionCriteriaScoringTradeoffs | ConstraintsDecisionPlanningOptions | FlowMeasurementConstraints |