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Criterion
Paper illustration for Monte Carlo Forecasting.
Delivery
Monte Carlo Forecasting
Anonymous individual judgments pass through feedback loops to form a distribution.
Decision Making
Delphi Method
Architecture Communication Canvas method illustration showing its working structure
Architecture
Architecture Communication Canvas
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.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.The Architecture Communication Canvas plans architecture communication so the right people receive the right message. The method turns technical complexity into deliberate communication design.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
HighHighMediumMedium
Timedifferent
30-90 min Setup, danach laufend1-4 Wochen60-120 min1-2 h
Participantsdifferent
1-86-30 Experten2-84-12
Formatdifferent
Workshop + asyncAsyncWorkshop + asyncWorkshop
Outputdifferent
Forecast Percentiles, Throughput Dataset, Risk CommunicationExpert Forecast, Consensus Range, Assumption NotesCommunication Canvas, Stakeholder Messages, Architecture Communication PlanAlignment Map, Open Issues, Decision Questions
Tagsno overlap
ForecastingFlowDelivery
ForecastingExpertsDecisionStrategy
ArchitectureCommunicationStakeholdersCanvas
AlignmentStakeholdersStrategyFacilitation
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