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Criterion
Paper illustration for Bottleneck Analysis.
Operations
Bottleneck Analysis
Paper illustration for Monte Carlo Forecasting.
Delivery
Monte Carlo Forecasting
Paper illustration for Planning Poker.
Agile
Planning Poker
Purposedifferent
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.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 estimates within the team diverge too much, it puts differing expectations on a common test bench. It separates rough complexity from unspoken assumptions.
Complexitydifferent
MediumHighLow
Timedifferent
1-3 h30-90 min Setup, danach laufend2-5 min je Item
Participantsdifferent
3-81-83-9
Formatsame
Workshop + asyncWorkshop + asyncWorkshop + async
Outputdifferent
Bottleneck Map, Flow Metrics, Improvement Options, Follow-up MeasuresForecast Percentiles, Throughput Dataset, Risk CommunicationRelative Estimates, Assumption Notes, Split Candidates
Tagsno overlap
FlowMeasurementConstraints
ForecastingFlowDelivery
EstimationAgileRelative sizingTeam
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