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Criterion
Paper illustration for Wideband Delphi.
Decision Making
Wideband Delphi
Paper illustration of a four-column Kanban board with limited ongoing work, a visible blocker and a review loop.
Engineering
Kanban
Paper illustration for Affinity Estimation.
Agile
Affinity Estimation
Paper illustration for NoEstimates.
Agile
NoEstimates
Purposedifferent
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.When work sits in too many parallel streams, throughput suffers and no one sees the bottlenecks. Kanban makes the flow of work visible and limits overload so a system becomes calmer and more predictable.When many tasks need to be classified quickly, it sorts them by perceived effort and similarity. It reduces the effort of fine-grained estimation for large volumes.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.
Complexitydifferent
HighMediumMediumMedium
Timedifferent
1-4 h or multiple roundsOngoing30-90 minlaufend
Participantsdifferent
4-12 Experten2-123-122-12
Formatdifferent
Workshop + asyncWorkshop + asyncWorkshopWorkshop + async
Outputdifferent
Estimate Range, Assumption Log, Expert Consensus NotesKanban board, WIP policies, Flow metricsAffinity Size Map, Grouped Estimates, Unclear ItemsThroughput Data, Flow Forecast, Slicing Rules
Tagsno overlap
EstimationExpertsForecasting
FlowVisual managementDelivery
EstimationBacklogRelative sizing
EstimationForecastingFlow
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