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Criterion
Paper illustration for Monte Carlo Forecasting.
Delivery
Monte Carlo Forecasting
Paper illustration for DACI
Decision Making
DACI
Anonymous individual judgments pass through feedback loops to form a distribution.
Decision Making
Delphi Method
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 cross-functional decisions, responsibilities quickly blur between approval, influence, and execution. DACI arranges these roles so decision pressure, contribution, and information stay cleanly separated.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 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
HighLowHighMedium
Timedifferent
30-90 min Setup, danach laufend30-60 min1-4 Wochen1-2 h
Participantsdifferent
1-82-106-30 Experten4-12
Formatdifferent
Workshop + asyncWorkshop + asyncAsyncWorkshop
Outputdifferent
Forecast Percentiles, Throughput Dataset, Risk CommunicationDACI Matrix, Decision Owner, Decision LogExpert Forecast, Consensus Range, Assumption NotesAlignment Map, Open Issues, Decision Questions
Tagsno overlap
ForecastingFlowDelivery
DecisionRolesGovernanceAlignment
ForecastingExpertsDecisionStrategy
AlignmentStakeholdersStrategyFacilitation
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