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Criterion
Paper illustration for NoEstimates.
Agile
NoEstimates
Stakeholder Mapping
Facilitation
Stakeholder Mapping
Paper illustration for Monte Carlo Forecasting.
Delivery
Monte Carlo Forecasting
Purposedifferent
When estimating slows a team down more than it helps, it shifts the focus to flow, small slices, and real lead time. It sorts work by value, risk, and delivery ability. The result is captured as Throughput Data, Flow Forecast, and Slicing Rules.When an initiative depends on many people, interests, and power dynamics, Stakeholder Mapping systematically orders the environment. It shows who influences, who is affected, and where relationship management or safeguarding matters first.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.
Complexitydifferent
MediumLowHigh
Timedifferent
laufend60–90 min30-90 min Setup, danach laufend
Participantsdifferent
2-122-81-8
Formatsame
Workshop + asyncWorkshop + asyncWorkshop + async
Outputdifferent
Throughput Data, Flow Forecast, Slicing RulesStakeholder Map, Engagement Plan, Risk NotesForecast Percentiles, Throughput Dataset, Risk Communication
Tagsno overlap
EstimationForecastingFlow
StakeholdersAlignmentFacilitationChange
ForecastingFlowDelivery
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Often compared together

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

Paper illustration for Alignment Mapping.
Facilitation
Alignment Mapping
Paper illustration of Power-Interest Grid with a method-specific labelled workspace.
Facilitation
Power Interest Grid
Paper illustration of Stakeholder Salience Model with its method-specific working model.
Facilitation
Stakeholder Salience Model
Paper illustration for 3-Circle Venn Diagram
Facilitation
3-Circle Venn Diagram