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Criterion
Anonymous individual judgments pass through feedback loops to form a distribution.
Decision Making
Delphi Method
Paper illustration of Competency Questions with its method-specific working model.
Knowledge Modeling
Competency Questions
Paper illustration of DIBB with its method-specific working model.
Product Strategy
DIBB
Paper illustration of a MoSCoW board with four columns and a visible release boundary.
Delivery
MoSCoW
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.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.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.When a release carries too many demands and priorities are only ever negotiated, MoSCoW creates clear boundaries for the next cut. Must, Should, Could, and Won't make commitment, room for maneuver, and trade-off logic visible to everyone involved.
Complexitydifferent
HighMediumLowLow
Timedifferent
1-4 Wochen2-4 h1-2 h30-90 min
Participantsdifferent
6-30 Experten2-82-83-12
Formatdifferent
AsyncWorkshop + asyncWorkshop + asyncWorkshop + async
Outputdifferent
Expert Forecast, Consensus Range, Assumption NotesCompetency Question Set, Required Concepts, Test Queries, Coverage MatrixDIBB document, Belief list, Bet list, Learning reportPrioritized Backlog, Release Scope, Tradeoff Notes
Tagsno overlap
ForecastingExpertsDecisionStrategy
OntologyKnowledge graphScopeRequirementsSemantic
StrategyDecisionAssumptionsHypothesis
PrioritizationScopeDecision
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