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Criterion
Paper illustration for Dot Estimation.
Facilitation
Dot Estimation
Paper illustration for Knowledge Mapping.
Knowledge Modeling
Knowledge Mapping
Paper illustration for Monte Carlo Forecasting.
Delivery
Monte Carlo Forecasting
Purposedifferent
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.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.
Complexitydifferent
LowMediumHigh
Timedifferent
5-20 min1-3 h30-90 min Setup, danach laufend
Participantsdifferent
3-203-121-8
Formatdifferent
WorkshopWorkshopWorkshop + async
Outputdifferent
Effort Heatmap, Risk Signals, Discussion TargetsKnowledge Map, Critical Knowledge Areas, Transfer PlanForecast Percentiles, Throughput Dataset, Risk Communication
Tagsno overlap
EstimationEffortRisk
KnowledgeMappingRisk
ForecastingFlowDelivery
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Often compared together

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

Paper illustration of a Concept Map with concepts and labelled links
Knowledge Modeling
Concept Mapping