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Criterion
Paper illustration for Monte Carlo Forecasting.
Delivery
Monte Carlo Forecasting
Paper illustration for OODA Loop.
Decision Making
OODA Loop
Paper illustration for Bottleneck Analysis.
Operations
Bottleneck Analysis
Anonymous individual judgments pass through feedback loops to form a distribution.
Decision Making
Delphi Method
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is captured as Forecast Percentiles, Throughput Dataset, and Risk Communication.In dynamic situations, decisions become outdated faster than they can be prepared. The OODA Loop holds observing, orienting, deciding, and acting together as a recurring rhythm so reaction does not slide into inertia.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.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.
Complexitydifferent
HighMediumMediumHigh
Timedifferent
30-90 min Setup, danach laufend15-60 min je Zyklus1-3 h1-4 Wochen
Participantsdifferent
1-81-83-86-30 Experten
Formatdifferent
Workshop + asyncWorkshop + asyncWorkshop + asyncAsync
Outputdifferent
Forecast Percentiles, Throughput Dataset, Risk CommunicationSituation Assessment, Decision Loop, Action UpdatesBottleneck Map, Flow Metrics, Improvement Options, Follow-up MeasuresExpert Forecast, Consensus Range, Assumption Notes
Tagsno overlap
ForecastingFlowDelivery
DecisionChangeLearningStrategy
FlowMeasurementConstraints
ForecastingExpertsDecisionStrategy
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