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| Criterion |  Knowledge Modeling Competency Questions |  Knowledge Modeling Shape-First Modeling |  Systems Thinking Evaporating Cloud |  Product Discovery Assumption Mapping |
|---|---|---|---|---|
Purposedifferent | 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. | Shape-First Modeling defines data quality through shapes before implementation or integration frays at the edges. The approach fits when validation and data contracts should be part of the design from the start. | The method makes visible why two seemingly incompatible demands arise and which assumption must be tested to resolve the conflict. | When assumptions still sit unordered in the room, it weighs uncertainty against leverage. It makes visible which hypotheses should be checked first. |
Complexitysame | Medium | Medium | Medium | Medium |
Timedifferent | 2-4 h | Halber Tag pro Domain Slice | 60-120 min | 45-60 min |
Participantsdifferent | 2-8 | 1-4 | 2-8 | 2-8 |
Formatdifferent | Workshop + async | Workshop + async | Workshop | Workshop + async |
Outputdifferent | Competency Question Set, Required Concepts, Test Queries, Coverage Matrix | SHACL or ShEx Shapes, Validation Reports, Data Contracts, Shape Documentation | Conflict Cloud, Assumption List, Breakthrough Ideas, Next Experiments | Assumption map, Test backlog, Risk ranking |
Tagsno overlap | OntologyKnowledge graphScopeRequirementsSemantic | Knowledge graphValidationSemantic | Theory of ConstraintsAssumptionsSystems thinking | AssumptionsRiskExperimentsValidation |