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Criterion
Paper illustration of DIBB with its method-specific working model.
Product Strategy
DIBB
Paper illustration of Competency Questions with its method-specific working model.
Knowledge Modeling
Competency Questions
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
Anonymous individual judgments pass through feedback loops to form a distribution.
Decision Making
Delphi Method
Purposedifferent
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.Competency Questions translate a domain model into concrete questions that it must be able to answer. The method keeps the model's scope clean and prevents pretty but useless structures.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 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
LowMediumLowHigh
Timedifferent
1-2 h2-4 h30-60 min1-4 Wochen
Participantsdifferent
2-82-83-76-30 Experten
Formatdifferent
Workshop + asyncWorkshop + asyncWorkshopAsync
Outputdifferent
DIBB document, Belief list, Bet list, Learning reportCompetency Question Set, Required Concepts, Test Queries, Coverage MatrixExample Map, Acceptance Criteria, Open QuestionsExpert Forecast, Consensus Range, Assumption Notes
Tagsno overlap
StrategyDecisionAssumptionsHypothesis
OntologyKnowledge graphScopeRequirementsSemantic
Behavior-Driven DevelopmentRequirementsExamplesRefinement
ForecastingExpertsDecisionStrategy
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