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Criterion
Paper illustration for Change Analysis.
Operations
Change Analysis
Paper illustration for Dot Estimation.
Facilitation
Dot Estimation
Paper illustration for Monte Carlo Forecasting.
Delivery
Monte Carlo Forecasting
Purposedifferent
For a deviation after a change, the method isolates the influence of the altered condition. It narrows down which differences are relevant and which are just accompanying noise.When size or effort can only be estimated roughly, Dot Estimation condenses the group's experience into a quick range. It turns individual contributions into a visible selection. The result is captured as an Effort Heatmap, Risk Signals, and Discussion Targets.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
45-120 min5-20 min30-90 min Setup, danach laufend
Participantsdifferent
2-63-201-8
Formatdifferent
Workshop + asyncWorkshopWorkshop + async
Outputdifferent
Change Matrix, Cause Hypotheses, Validation Questions, Action ListEffort Heatmap, Risk Signals, Discussion TargetsForecast Percentiles, Throughput Dataset, Risk Communication
Tagsno overlap
ChangeRoot causeTroubleshootingComparison
EstimationEffortRisk
ForecastingFlowDelivery
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Paper illustration for Failure Mode and Effects Analysis
Operations
Failure Mode and Effects Analysis
Paper illustration for Fault Tree Analysis.
Operations
Fault Tree Analysis