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Criterion
Paper illustration for Monte Carlo Forecasting.
Delivery
Monte Carlo Forecasting
Paper illustration of Shape Up with its method-specific working model.
Delivery
Shape Up
Paper illustration for Alignment Mapping.
Facilitation
Alignment Mapping
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.Shape Up helps clarify scope, sequence, and delivery flow. It makes work boundaries and decisions explicit and captures results as pitches, bet-table decisions, and hill charts.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 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
HighMediumMediumMedium
Timedifferent
30-90 min Setup, danach laufend6 Wochen Cycle + 2 Wochen Cool-Down1-2 h60-90 min
Participantsdifferent
1-82-4 pro Pitch4-123-6
Formatdifferent
Workshop + asyncWorkshop + asyncWorkshopWorkshop
Outputdifferent
Forecast Percentiles, Throughput Dataset, Risk CommunicationPitches, Bet-table decisions, Hill charts, Cooldown outcomesAlignment Map, Open Issues, Decision QuestionsSalience Diagram, Strategy per Class
Tagsno overlap
ForecastingFlowDelivery
PlanningDeliveryAutonomy
AlignmentStakeholdersStrategyFacilitation
StakeholdersFacilitationAlignmentGovernance
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