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| Criterion |  Knowledge Modeling IBIS |  Knowledge Modeling Shape-First Modeling |  Knowledge Modeling Concept Mapping |  Knowledge Modeling Knowledge Mapping |
|---|---|---|---|---|
Purposedifferent | IBIS structures thinking about complex questions as a sequence of issues, ideas, and arguments. The method keeps discussions open without forcing them into premature consensus. | 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. | Concept Mapping arranges terms and relationships in a network that makes subject-matter connections tangible. It fits when a topic needs to be understood structurally rather than linearly. | 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. |
Complexitysame | Medium | Medium | Medium | Medium |
Timedifferent | 1-3 h | Halber Tag pro Domain Slice | 1-2 h | 1-3 h |
Participantsdifferent | 2-8 | 1-4 | 1-8 | 3-12 |
Formatdifferent | Workshop + async | Workshop + async | Workshop + async | Workshop |
Outputdifferent | Issue Map, Positions, Argument Notes | SHACL or ShEx Shapes, Validation Reports, Data Contracts, Shape Documentation | Concept Map, Relationship Labels, Knowledge Gaps | Knowledge Map, Critical Knowledge Areas, Transfer Plan |
Tagsno overlap | RationaleKnowledgeDecision | Knowledge graphValidationSemantic | KnowledgeConceptsMappingSensemaking | KnowledgeMappingRisk |