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Criterion
Paper illustration for Monte Carlo Forecasting.
Delivery
Monte Carlo Forecasting
Funnel Analysis workspace showing the question, observations, and next decision.
Growth
Funnel Analysis
Value Stream Mapping workspace showing the question, observations, and next decision.
Delivery
Value Stream Mapping
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 many visitors or users drop off along the way, the reason behind the number often stays hidden. Funnel Analysis exposes these transitions and makes visible exactly where the path collapses.When delivery work dissolves into wait times, handoffs, and hidden effort, Value Stream Mapping makes the actual flow visible. The method exposes bottlenecks, idle time, and feedback loops so lead time and improvement levers become tangible.
Complexitydifferent
HighMediumMedium
Timedifferent
30-90 min Setup, danach laufend1-3 h1-3 h
Participantsdifferent
1-81-54-10
Formatdifferent
Workshop + asyncAsyncWorkshop
Outputdifferent
Forecast Percentiles, Throughput Dataset, Risk CommunicationFunnel report, Drop-off analysis, Optimization hypothesesCurrent-state map, Future-state map, Bottleneck list
Tagsno overlap
ForecastingFlowDelivery
AnalyticsConversionGrowth
LeanFlowWasteDelivery
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