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Criterion
Paper illustration for NoEstimates.
Agile
NoEstimates
Anonymous individual judgments pass through feedback loops to form a distribution.
Decision Making
Delphi Method
Paper illustration of DIBB with its method-specific working model.
Product Strategy
DIBB
Paper illustration for Wideband Delphi.
Decision Making
Wideband Delphi
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.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.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.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.
Complexitydifferent
MediumHighLowHigh
Timedifferent
laufend1-4 Wochen1-2 h1-4 h or multiple rounds
Participantsdifferent
2-126-30 Experten2-84-12 Experten
Formatdifferent
Workshop + asyncAsyncWorkshop + asyncWorkshop + async
Outputdifferent
Throughput Data, Flow Forecast, Slicing RulesExpert Forecast, Consensus Range, Assumption NotesDIBB document, Belief list, Bet list, Learning reportEstimate Range, Assumption Log, Expert Consensus Notes
Tagsno overlap
EstimationForecastingFlow
ForecastingExpertsDecisionStrategy
StrategyDecisionAssumptionsHypothesis
EstimationExpertsForecasting
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