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| Criterion | ![]() Product Strategy DIBB | ![]() Decision Making Assumption Surfacing | ![]() Knowledge Modeling Linked Open Terms | ![]() Knowledge Modeling Competency Questions |
|---|---|---|---|---|
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. | Plans often contain assumptions that were never openly stated and remain dangerous precisely because of that. Assumption Surfacing makes these silent premises visible and prioritizes which of them carry the initiative or could sink it. | Linked Open Terms connects terminology work with linked-data thinking and makes terminology technically connectable. Vocabulary, meanings, and references can thereby be maintained consistently. | 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. |
Complexitydifferent | Low | Low | Medium | Medium |
Timedifferent | 1-2 h | 45-90 min | Wochen bis Monate | 2-4 h |
Participantssame | 2-8 | 2-8 | 2-8 | 2-8 |
Formatsame | Workshop + async | Workshop + async | Workshop + async | Workshop + async |
Outputdifferent | DIBB document, Belief list, Bet list, Learning report | Assumption List, Critical Assumptions, Learning Plan | Ontology Requirements, Conceptual Model, Published Ontology, Documentation, Maintenance Plan | Competency Question Set, Required Concepts, Test Queries, Coverage Matrix |
Tagsno overlap | StrategyDecisionAssumptionsHypothesis | AssumptionsRiskDecisionDiscovery | OntologyMethodologyAgileSemantic | OntologyKnowledge graphScopeRequirementsSemantic |



