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| Criterion |  Product Discovery Context Canvas |  Knowledge Modeling Shape-First Modeling |  Knowledge Modeling Competency Questions |  Knowledge Modeling Ontology Design Patterns |
|---|---|---|---|---|
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. | 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. | 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. | Ontology Design Patterns provide reusable building blocks for recurring modeling problems. The method brings structure to the search for clean concepts, relationships, and roles. |
Complexitydifferent | Low | Medium | Medium | Medium |
Timedifferent | 45-90 min | Halber Tag pro Domain Slice | 2-4 h | 1-3 h pro Pattern |
Participantsdifferent | 3-10 | 1-4 | 2-8 | 1-6 |
Formatdifferent | Workshop | Workshop + async | Workshop + async | Workshop + async |
Outputdifferent | Context canvas, Open questions, Shared context notes | SHACL or ShEx Shapes, Validation Reports, Data Contracts, Shape Documentation | Competency Question Set, Required Concepts, Test Queries, Coverage Matrix | Selected Patterns, Adapted Schema Fragments, Pattern Documentation |
Tagsno overlap | ContextFramingRequirementsCanvas | Knowledge graphValidationSemantic | OntologyKnowledge graphScopeRequirementsSemantic | OntologyPatternsReuseSemanticModeling |