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Criterion
Anonymous individual judgments pass through feedback loops to form a distribution.
Decision Making
Delphi Method
Paper illustration for NoEstimates.
Agile
NoEstimates
Paper illustration for Bucket System.
Agile
Bucket System
Purposedifferent
When knowledge is distributed and direct dominance should be avoided, groups quickly fall under the sway of their opinion leaders. The Delphi Method gathers assessments iteratively and gradually brings expert judgments closer together.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.When a large batch of work needs a fast, rough estimate, it sorts items into predefined size buckets. It sorts work by value, risk, and delivery ability. The result is captured as a Bucketed Backlog, Relative Estimates, and Split Candidates.
Complexitydifferent
HighMediumMedium
Timedifferent
1-4 Wochenlaufend30-90 min
Participantsdifferent
6-30 Experten2-123-12
Formatdifferent
AsyncWorkshop + asyncWorkshop
Outputdifferent
Expert Forecast, Consensus Range, Assumption NotesThroughput Data, Flow Forecast, Slicing RulesBucketed Backlog, Relative Estimates, Split Candidates
Tagsno overlap
ForecastingExpertsDecisionStrategy
EstimationForecastingFlow
EstimationBacklogRelative sizing
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Paper illustration for Affinity Estimation.
Agile
Affinity Estimation
Paper illustration for Wideband Delphi.
Decision Making
Wideband Delphi
Paper illustration of DIBB with its method-specific working model.
Product Strategy
DIBB
Paper illustration of the Force Field Analysis working structure.
Decision Making
Force Field Analysis