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Criterion
Anonymous individual judgments pass through feedback loops to form a distribution.
Decision Making
Delphi Method
Paper illustration of a yellow story card, blue rule cards, green example cards and a red question card on a light workspace.
Agile
Example Mapping
Paper illustration of Specification by Example with a method-specific labelled workspace.
Agile
Specification by Example
Paper illustration of DIBB with its method-specific working model.
Product Strategy
DIBB
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 a story carries business rules and exceptions, it brings clarity before implementation. It makes examples, open questions, and boundaries visible enough that the logic becomes jointly sound.When business rules need to become precise, it ties language, example, and test together. It sorts work by value, risk, and delivery ability. The result is captured as an Example Table and Acceptance Tests.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.
Complexitydifferent
HighLowMediumLow
Timedifferent
1-4 Wochen30-60 min60-90 min pro Feature1-2 h
Participantsdifferent
6-30 Experten3-73-62-8
Formatdifferent
AsyncWorkshopWorkshopWorkshop + async
Outputdifferent
Expert Forecast, Consensus Range, Assumption NotesExample Map, Acceptance Criteria, Open QuestionsExample Table, Acceptance TestsDIBB document, Belief list, Bet list, Learning report
Tagsno overlap
ForecastingExpertsDecisionStrategy
Behavior-Driven DevelopmentRequirementsExamplesRefinement
AgileRequirementsExamplesBehavior-Driven Development
StrategyDecisionAssumptionsHypothesis
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