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Criterion
Anonymous individual judgments pass through feedback loops to form a distribution.
Decision Making
Delphi Method
Paper illustration for Monte Carlo Forecasting.
Delivery
Monte Carlo Forecasting
Paper illustration for Constraint Analysis.
Decision Making
Constraint Analysis
Paper illustration for Bottleneck Analysis.
Operations
Bottleneck Analysis
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, 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 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
HighHighLowMedium
Timedifferent
1-4 Wochen30-90 min Setup, danach laufend30-90 min1-3 h
Participantsdifferent
6-30 Experten1-82-83-8
Formatdifferent
AsyncWorkshop + asyncWorkshop + asyncWorkshop + async
Outputdifferent
Expert Forecast, Consensus Range, Assumption NotesForecast Percentiles, Throughput Dataset, Risk CommunicationConstraint List, Hard/Soft Classification, Option Impact Notes, Decision BoundariesBottleneck Map, Flow Metrics, Improvement Options, Follow-up Measures
Tagsno overlap
ForecastingExpertsDecisionStrategy
ForecastingFlowDelivery
ConstraintsDecisionPlanningOptions
FlowMeasurementConstraints
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