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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 Alignment Mapping.
Facilitation
Alignment Mapping
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is captured as Forecast Percentiles, Throughput Dataset, and Risk Communication.In dynamic situations, decisions become outdated faster than they can be prepared.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.When several people work toward one goal but hold different mental maps, Alignment Mapping makes the discrepancies visible. It arranges goals, assumptions, and priorities so shared direction becomes verifiable.
Complexitydifferent
HighMediumMedium
Timedifferent
30-90 min Setup, danach laufend15-60 min je Zyklus1-2 h
Participantsdifferent
1-81-84-12
Formatdifferent
Workshop + asyncWorkshop + asyncWorkshop
Outputdifferent
Forecast Percentiles, Throughput Dataset, Risk CommunicationSituation Assessment, Decision Loop, Action UpdatesAlignment Map, Open Issues, Decision Questions
Tagsno overlap
ForecastingFlowDelivery
DecisionChangeLearningStrategy
AlignmentStakeholdersStrategyFacilitation
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Often compared together

Methods with strong topical overlap with the current selection, not yet in the comparison.

Stakeholder Mapping
Facilitation
Stakeholder Mapping
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 the McKinsey 7S Framework with seven connected fields
Business Strategy
McKinsey 7S