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Criterion
Paper illustration for Bottleneck Analysis.
Operations
Bottleneck Analysis
Paper illustration for Monte Carlo Forecasting.
Delivery
Monte Carlo Forecasting
Paper illustration for Alignment Mapping.
Facilitation
Alignment Mapping
Purposedifferent
For a flow that backs up at one point, the method looks for the capacity limit with the greatest leverage. It explains why extra effort elsewhere barely improves throughput.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.
Complexitydifferent
MediumHighMedium
Timedifferent
1-3 h30-90 min Setup, danach laufend1-2 h
Participantsdifferent
3-81-84-12
Formatdifferent
Workshop + asyncWorkshop + asyncWorkshop
Outputdifferent
Bottleneck Map, Flow Metrics, Improvement Options, Follow-up MeasuresForecast Percentiles, Throughput Dataset, Risk CommunicationAlignment Map, Open Issues, Decision Questions
Tagsno overlap
FlowMeasurementConstraints
ForecastingFlowDelivery
AlignmentStakeholdersStrategyFacilitation
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Often compared together

Methods with strong topical overlap with the current selection, not yet in the comparison.

Paper illustration of KPI Tree with its method-specific working model.
Product Strategy
KPI Tree
Paper illustration of Power-Interest Grid with a method-specific labelled workspace.
Facilitation
Power Interest Grid
Stakeholder Mapping
Facilitation
Stakeholder Mapping
Paper illustration of Stakeholder Salience Model with its method-specific working model.
Facilitation
Stakeholder Salience Model