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| Criterion |  Knowledge Modeling Knowledge Mapping |  Knowledge Modeling Shape-First Modeling |  Decision Making Assumption Surfacing |  Knowledge Modeling Competency Questions |
|---|---|---|---|---|
Purposedifferent | Knowledge Mapping makes knowledge, gaps, and transfer paths visible across a field. It fits when expertise should not just exist but also be findable and transferable. | 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. | 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. | 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 | Medium | Medium | Low | Medium |
Timedifferent | 1-3 h | Halber Tag pro Domain Slice | 45-90 min | 2-4 h |
Participantsdifferent | 3-12 | 1-4 | 2-8 | 2-8 |
Formatdifferent | Workshop | Workshop + async | Workshop + async | Workshop + async |
Outputdifferent | Knowledge Map, Critical Knowledge Areas, Transfer Plan | SHACL or ShEx Shapes, Validation Reports, Data Contracts, Shape Documentation | Assumption List, Critical Assumptions, Learning Plan | Competency Question Set, Required Concepts, Test Queries, Coverage Matrix |
Tagsno overlap | KnowledgeMappingRisk | Knowledge graphValidationSemantic | AssumptionsRiskDecisionDiscovery | OntologyKnowledge graphScopeRequirementsSemantic |