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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
Paper illustration of Power-Interest Grid with a method-specific labelled workspace.
Facilitation
Power Interest Grid
Paper illustration for Alignment Mapping.
Facilitation
Alignment Mapping
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 many stakeholders compete for attention at once, the Power Interest Grid sorts them by influence and stake. It turns individual contributions into a visible selection. The result is captured as a Power Interest Grid and a stakeholder-specific strategy.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
HighHighLowMedium
Timedifferent
1-4 Wochen30-90 min Setup, danach laufend30-60 min1-2 h
Participantsdifferent
6-30 Experten1-82-84-12
Formatdifferent
AsyncWorkshop + asyncWorkshopWorkshop
Outputdifferent
Expert Forecast, Consensus Range, Assumption NotesForecast Percentiles, Throughput Dataset, Risk CommunicationPower Interest Grid, Strategy per StakeholderAlignment Map, Open Issues, Decision Questions
Tagsno overlap
ForecastingExpertsDecisionStrategy
ForecastingFlowDelivery
StakeholdersFacilitationAlignmentPlanning
AlignmentStakeholdersStrategyFacilitation
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