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Criterion
Paper illustration for Monte Carlo Forecasting.
Delivery
Monte Carlo Forecasting
Anonymous individual judgments pass through feedback loops to form a distribution.
Decision Making
Delphi Method
Paper illustration for OODA Loop.
Decision Making
OODA Loop
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 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assessments iteratively and gradually brings expert judgments closer together.In dynamic situations, decisions become outdated faster than they can be prepared.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.
Complexitydifferent
HighHighMedium
Timedifferent
30-90 min Setup, danach laufend1-4 Wochen15-60 min je Zyklus
Participantsdifferent
1-86-30 Experten1-8
Formatdifferent
Workshop + asyncAsyncWorkshop + async
Outputdifferent
Forecast Percentiles, Throughput Dataset, Risk CommunicationExpert Forecast, Consensus Range, Assumption NotesSituation Assessment, Decision Loop, Action Updates
Tagsno overlap
ForecastingFlowDelivery
ForecastingExpertsDecisionStrategy
DecisionChangeLearningStrategy
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Methods with strong topical overlap with the current selection, not yet in the comparison.

Paper illustration of the Force Field Analysis working structure.
Decision Making
Force Field Analysis
Paper illustration of Cost of Delay with its method-specific working model.
Delivery
Cost of Delay
Paper illustration of DIBB with its method-specific working model.
Product Strategy
DIBB