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Criterion
Paper illustration for Wideband Delphi.
Decision Making
Wideband Delphi
Paper illustration for Affinity Estimation.
Agile
Affinity Estimation
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
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 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.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.In change initiatives, supporting and restraining forces sit at the table at the same time. Force Field Analysis makes these tensions explicit and shows where change can be pushed forward by strengthening or relieving.
Complexitydifferent
HighMediumLowLow
Timedifferent
1-4 h or multiple rounds30-90 min1-2 h45-90 min
Participantsdifferent
4-12 Experten3-122-83-12
Formatdifferent
Workshop + asyncWorkshopWorkshop + asyncWorkshop
Outputdifferent
Estimate Range, Assumption Log, Expert Consensus NotesAffinity Size Map, Grouped Estimates, Unclear ItemsDIBB document, Belief list, Bet list, Learning reportForce Field Map, Change Levers, Risk Notes
Tagsno overlap
EstimationExpertsForecasting
EstimationBacklogRelative sizing
StrategyDecisionAssumptionsHypothesis
ChangeDecisionStrategy
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