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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
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.
Complexitydifferent
HighHighLow
Timedifferent
1-4 Wochen30-90 min Setup, danach laufend30-60 min
Participantsdifferent
6-30 Experten1-82-8
Formatdifferent
AsyncWorkshop + asyncWorkshop
Outputdifferent
Expert Forecast, Consensus Range, Assumption NotesForecast Percentiles, Throughput Dataset, Risk CommunicationPower Interest Grid, Strategy per Stakeholder
Tagsno overlap
ForecastingExpertsDecisionStrategy
ForecastingFlowDelivery
StakeholdersFacilitationAlignmentPlanning
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Methods with strong topical overlap with the current selection, not yet in the comparison.

Paper illustration for Alignment Mapping.
Facilitation
Alignment Mapping
Paper illustration for Communication Plan
Delivery
Communication Plan
Stakeholder Mapping
Facilitation
Stakeholder Mapping
Paper illustration of Stakeholder Salience Model with its method-specific working model.
Facilitation
Stakeholder Salience Model