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Criterion
Paper illustration for Monte Carlo Forecasting.
Delivery
Monte Carlo Forecasting
Paper illustration for Alignment Mapping.
Facilitation
Alignment Mapping
Anonymous individual judgments pass through feedback loops to form a distribution.
Decision Making
Delphi Method
Paper illustration of Stakeholder Salience Model with its method-specific working model.
Facilitation
Stakeholder Salience Model
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.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.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.When stakeholders appear to matter very differently, the Stakeholder Salience Model rates their actual priority through power, legitimacy, and urgency. It turns individual contributions into a visible selection. The result is captured as a Salience diagram and a class-based strategy.
Complexitydifferent
HighMediumHighMedium
Timedifferent
30-90 min Setup, danach laufend1-2 h1-4 Wochen60-90 min
Participantsdifferent
1-84-126-30 Experten3-6
Formatdifferent
Workshop + asyncWorkshopAsyncWorkshop
Outputdifferent
Forecast Percentiles, Throughput Dataset, Risk CommunicationAlignment Map, Open Issues, Decision QuestionsExpert Forecast, Consensus Range, Assumption NotesSalience Diagram, Strategy per Class
Tagsno overlap
ForecastingFlowDelivery
AlignmentStakeholdersStrategyFacilitation
ForecastingExpertsDecisionStrategy
StakeholdersFacilitationAlignmentGovernance
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