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Criterion
Paper illustration for NoEstimates.
Agile
NoEstimates
Paper illustration of DIBB with its method-specific working model.
Product Strategy
DIBB
Paper illustration for Dot Estimation.
Facilitation
Dot Estimation
Anonymous individual judgments pass through feedback loops to form a distribution.
Decision Making
Delphi Method
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.DIBB helps clarify target groups, value, goals, and priorities by making the logic behind a decision explicit. It captures results as a DIBB document, belief list, bet list, and learning report.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.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.
Complexitydifferent
MediumLowLowHigh
Timedifferent
laufend1-2 h5-20 min1-4 Wochen
Participantsdifferent
2-122-83-206-30 Experten
Formatdifferent
Workshop + asyncWorkshop + asyncWorkshopAsync
Outputdifferent
Throughput Data, Flow Forecast, Slicing RulesDIBB document, Belief list, Bet list, Learning reportEffort Heatmap, Risk Signals, Discussion TargetsExpert Forecast, Consensus Range, Assumption Notes
Tagsno overlap
EstimationForecastingFlow
StrategyDecisionAssumptionsHypothesis
EstimationEffortRisk
ForecastingExpertsDecisionStrategy
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