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Criterion
Paper illustration for Knowledge Mapping.
Knowledge Modeling
Knowledge Mapping
Paper illustration for Monte Carlo Forecasting.
Delivery
Monte Carlo Forecasting
Paper illustration for Dot Estimation.
Facilitation
Dot Estimation
Purposedifferent
Knowledge Mapping makes knowledge, gaps, and transfer paths visible across a field. It fits when expertise should not just exist but also be findable and transferable.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 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.
Complexitydifferent
MediumHighLow
Timedifferent
1-3 h30-90 min Setup, danach laufend5-20 min
Participantsdifferent
3-121-83-20
Formatdifferent
WorkshopWorkshop + asyncWorkshop
Outputdifferent
Knowledge Map, Critical Knowledge Areas, Transfer PlanForecast Percentiles, Throughput Dataset, Risk CommunicationEffort Heatmap, Risk Signals, Discussion Targets
Tagsno overlap
KnowledgeMappingRisk
ForecastingFlowDelivery
EstimationEffortRisk
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Paper illustration of a Concept Map with concepts and labelled links
Knowledge Modeling
Concept Mapping