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Criterion
Paper illustration for NoEstimates.
Agile
NoEstimates
Paper illustration for Wideband Delphi.
Decision Making
Wideband Delphi
Paper illustration for Knowledge Mapping.
Knowledge Modeling
Knowledge Mapping
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.A single opinion rarely holds up for planning when the future is genuinely uncertain. It separates options, evaluation criteria, and open risks. The result is captured as an Estimate Range, Assumption Log, and Expert Consensus Notes.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.
Complexitydifferent
MediumHighMedium
Timedifferent
laufend1-4 h or multiple rounds1-3 h
Participantsdifferent
2-124-12 Experten3-12
Formatdifferent
Workshop + asyncWorkshop + asyncWorkshop
Outputdifferent
Throughput Data, Flow Forecast, Slicing RulesEstimate Range, Assumption Log, Expert Consensus NotesKnowledge Map, Critical Knowledge Areas, Transfer Plan
Tagsno overlap
EstimationForecastingFlow
EstimationExpertsForecasting
KnowledgeMappingRisk
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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
Anonymous individual judgments pass through feedback loops to form a distribution.
Decision Making
Delphi Method
Paper illustration for Dot Estimation.
Facilitation
Dot Estimation
Paper illustration for Monte Carlo Forecasting.
Delivery
Monte Carlo Forecasting