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Criterion
Value Stream Mapping workspace showing the question, observations, and next decision.
Delivery
Value Stream Mapping
Paper illustration for OODA Loop.
Decision Making
OODA Loop
Paper illustration for Monte Carlo Forecasting.
Delivery
Monte Carlo Forecasting
Purposedifferent
When delivery work dissolves into wait times, handoffs, and hidden effort, Value Stream Mapping makes the actual flow visible. The method exposes bottlenecks, idle time, and feedback loops so lead time and improvement levers become tangible.In dynamic situations, decisions become outdated faster than they can be prepared.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.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
MediumMediumHigh
Timedifferent
1-3 h15-60 min je Zyklus30-90 min Setup, danach laufend
Participantsdifferent
4-101-81-8
Formatdifferent
WorkshopWorkshop + asyncWorkshop + async
Outputdifferent
Current-state map, Future-state map, Bottleneck listSituation Assessment, Decision Loop, Action UpdatesForecast Percentiles, Throughput Dataset, Risk Communication
Tagsno overlap
LeanFlowWasteDelivery
DecisionChangeLearningStrategy
ForecastingFlowDelivery
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Methods with strong topical overlap with the current selection, not yet in the comparison.

Anonymous individual judgments pass through feedback loops to form a distribution.
Decision Making
Delphi Method
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