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Criterion
A paper-based illustration representing Context Canvas with its core stages and visible working result.
Product Discovery
Context Canvas
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
Anonymous individual judgments pass through feedback loops to form a distribution.
Decision Making
Delphi Method
Purposedifferent
When an environment of users, systems, and constraints is hard to grasp, it puts the context compactly on the table. It creates a clear reading of influence, boundary, and dependency.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 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
45-90 min2-4 h1-2 h1-4 Wochen
Participantsdifferent
3-102-82-86-30 Experten
Formatdifferent
WorkshopWorkshop + asyncWorkshop + asyncAsync
Outputdifferent
Context canvas, Open questions, Shared context notesCompetency Question Set, Required Concepts, Test Queries, Coverage MatrixDIBB document, Belief list, Bet list, Learning reportExpert Forecast, Consensus Range, Assumption Notes
Tagsno overlap
ContextFramingRequirementsCanvas
OntologyKnowledge graphScopeRequirementsSemantic
StrategyDecisionAssumptionsHypothesis
ForecastingExpertsDecisionStrategy
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