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Criterion
Anonymous individual judgments pass through feedback loops to form a distribution.
Decision Making
Delphi Method
Paper illustration of Cost of Delay with its method-specific working model.
Delivery
Cost of Delay
Paper illustration of a four-column Kanban board with limited ongoing work, a visible blocker and a review loop.
Engineering
Kanban
Paper illustration for Monte Carlo Forecasting.
Delivery
Monte Carlo Forecasting
Purposedifferent
When knowledge is distributed and direct dominance should be avoided, groups quickly fall under the sway of their opinion leaders. The Delphi Method gathers assessments iteratively and gradually brings expert judgments closer together.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.When work sits in too many parallel streams, throughput suffers and no one sees the bottlenecks. Kanban makes the flow of work visible and limits overload so a system becomes calmer and more predictable.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.
Complexitydifferent
HighHighMediumHigh
Timedifferent
1-4 Wochen90-180 minOngoing30-90 min Setup, danach laufend
Participantsdifferent
6-30 Experten3-82-121-8
Formatdifferent
AsyncWorkshopWorkshop + asyncWorkshop + async
Outputdifferent
Expert Forecast, Consensus Range, Assumption NotesCoD Table, Prioritization SequenceKanban board, WIP policies, Flow metricsForecast Percentiles, Throughput Dataset, Risk Communication
Tagsno overlap
ForecastingExpertsDecisionStrategy
PrioritizationDeliveryEconomicsDecision
FlowVisual managementDelivery
ForecastingFlowDelivery
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