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| Criterion |  Delivery Monte Carlo Forecasting |  Operations ALPEN Method |  Decision Making Constraint Analysis |  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. | With an overloaded day full of too many tasks, a realistic picture of the day emerges. The method connects estimating, deciding, and buffer thinking so planning fits available energy and time. | 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. | 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. |
Complexitydifferent | High | Low | Low | High |
Timedifferent | 30-90 min Setup, danach laufend | 10-20 min daily | 30-90 min | 90-180 min |
Participantsdifferent | 1-8 | 1 | 2-8 | 3-8 |
Formatdifferent | Workshop + async | Async | Workshop + async | Workshop |
Outputdifferent | Forecast Percentiles, Throughput Dataset, Risk Communication | Daily Plan, Time Estimates, Review Notes | Constraint List, Hard/Soft Classification, Option Impact Notes, Decision Boundaries | CoD Table, Prioritization Sequence |
Tagsno overlap | ForecastingFlowDelivery | PlanningTime managementProductivityOperations | ConstraintsDecisionPlanningOptions | PrioritizationDeliveryEconomicsDecision |