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Criterion
Paper illustration for Planning Poker.
Agile
Planning Poker
Paper illustration of DIBB with its method-specific working model.
Product Strategy
DIBB
Paper illustration for Wideband Delphi.
Decision Making
Wideband Delphi
Anonymous individual judgments pass through feedback loops to form a distribution.
Decision Making
Delphi Method
Purposedifferent
When estimates within the team diverge too much, it puts differing expectations on a common test bench. It separates rough complexity from unspoken assumptions.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.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
LowLowHighHigh
Timedifferent
2-5 min je Item1-2 h1-4 h or multiple rounds1-4 Wochen
Participantsdifferent
3-92-84-12 Experten6-30 Experten
Formatdifferent
Workshop + asyncWorkshop + asyncWorkshop + asyncAsync
Outputdifferent
Relative Estimates, Assumption Notes, Split CandidatesDIBB document, Belief list, Bet list, Learning reportEstimate Range, Assumption Log, Expert Consensus NotesExpert Forecast, Consensus Range, Assumption Notes
Tagsno overlap
EstimationAgileRelative sizingTeam
StrategyDecisionAssumptionsHypothesis
EstimationExpertsForecasting
ForecastingExpertsDecisionStrategy
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