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Criterion
Paper illustration for Monte Carlo Forecasting.
Delivery
Monte Carlo Forecasting
Paper illustration for Trade-off Analysis.
Decision Making
Trade-off Analysis
Paper illustration for Constraint Analysis.
Decision Making
Constraint Analysis
Paper illustration for Bottleneck 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.With limited resources, quality, speed, cost, and risk almost always compete with each other. Trade-off Analysis makes these tensions explicit and prevents decisions from producing hidden side effects.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
HighMediumLowMedium
Timedifferent
30-90 min Setup, danach laufend45-120 min30-90 min1-3 h
Participantsdifferent
1-82-82-83-8
Formatsame
Workshop + asyncWorkshop + asyncWorkshop + asyncWorkshop + async
Outputdifferent
Forecast Percentiles, Throughput Dataset, Risk CommunicationTrade-off Matrix, Criteria List, Decision Rationale, Accepted DownsidesConstraint List, Hard/Soft Classification, Option Impact Notes, Decision BoundariesBottleneck Map, Flow Metrics, Improvement Options, Follow-up Measures
Tagsno overlap
ForecastingFlowDelivery
TradeoffsDecisionCriteriaOptions
ConstraintsDecisionPlanningOptions
FlowMeasurementConstraints
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