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Criterion
Paper illustration for NoEstimates.
Agile
NoEstimates
Paper illustration for Monte Carlo Forecasting.
Delivery
Monte Carlo Forecasting
Stakeholder Mapping
Facilitation
Stakeholder Mapping
Paper illustration of Power-Interest Grid with a method-specific labelled workspace.
Facilitation
Power Interest Grid
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.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 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.When many stakeholders compete for attention at once, the Power Interest Grid sorts them by influence and stake. It turns individual contributions into a visible selection. The result is captured as a Power Interest Grid and a stakeholder-specific strategy.
Complexitydifferent
MediumHighLowLow
Timedifferent
laufend30-90 min Setup, danach laufend60–90 min30-60 min
Participantsdifferent
2-121-82-82-8
Formatdifferent
Workshop + asyncWorkshop + asyncWorkshop + asyncWorkshop
Outputdifferent
Throughput Data, Flow Forecast, Slicing RulesForecast Percentiles, Throughput Dataset, Risk CommunicationStakeholder Map, Engagement Plan, Risk NotesPower Interest Grid, Strategy per Stakeholder
Tagsno overlap
EstimationForecastingFlow
ForecastingFlowDelivery
StakeholdersAlignmentFacilitationChange
StakeholdersFacilitationAlignmentPlanning
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