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Criterion
Paper illustration for OODA Loop.
Decision Making
OODA Loop
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 of Cost of Delay with its method-specific working model.
Delivery
Cost of Delay
Purposedifferent
In dynamic situations, decisions become outdated faster than they can be prepared.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.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.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.
Complexitydifferent
MediumHighHighHigh
Timedifferent
15-60 min je Zyklus1-4 Wochen30-90 min Setup, danach laufend90-180 min
Participantsdifferent
1-86-30 Experten1-83-8
Formatdifferent
Workshop + asyncAsyncWorkshop + asyncWorkshop
Outputdifferent
Situation Assessment, Decision Loop, Action UpdatesExpert Forecast, Consensus Range, Assumption NotesForecast Percentiles, Throughput Dataset, Risk CommunicationCoD Table, Prioritization Sequence
Tagsno overlap
DecisionChangeLearningStrategy
ForecastingExpertsDecisionStrategy
ForecastingFlowDelivery
PrioritizationDeliveryEconomicsDecision
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