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Criterion
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
Stakeholder Mapping
Facilitation
Stakeholder Mapping
Paper illustration for OODA Loop.
Decision Making
OODA Loop
Purposedifferent
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.When an initiative depends on many people, interests, and power dynamics, Stakeholder Mapping systematically orders the environment. It shows who influences, who is affected, and where relationship management or safeguarding matters first.In dynamic situations, decisions become outdated faster than they can be prepared.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
HighHighLowMedium
Timedifferent
1-4 Wochen30-90 min Setup, danach laufend60–90 min15-60 min je Zyklus
Participantsdifferent
6-30 Experten1-82-81-8
Formatdifferent
AsyncWorkshop + asyncWorkshop + asyncWorkshop + async
Outputdifferent
Expert Forecast, Consensus Range, Assumption NotesForecast Percentiles, Throughput Dataset, Risk CommunicationStakeholder Map, Engagement Plan, Risk NotesSituation Assessment, Decision Loop, Action Updates
Tagsno overlap
ForecastingExpertsDecisionStrategy
ForecastingFlowDelivery
StakeholdersAlignmentFacilitationChange
DecisionChangeLearningStrategy
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