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| Criterion |  Knowledge Modeling Shape-First Modeling |  Product Discovery Pretotyping |  Knowledge Modeling Property Graph Schema Design |
|---|---|---|---|
Purposedifferent | 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. | Pretotyping clarifies whether a customer problem and solution idea create enough real demand. It separates problem, assumption, solution, and evidence, and captures the result as a pretotyping sketch, test setup, and conversion data. | Property Graph Schema Design turns business and technical requirements into a robust graph schema. It fits when query patterns, constraints, and migrations need to be thought about together. |
Complexitydifferent | Medium | Low | Medium |
Timedifferent | Halber Tag pro Domain Slice | Stunden bis wenige Tage | 4-8 h initial, dann iterativ |
Participantsdifferent | 1-4 | 1-4 | 1-6 |
Formatsame | Workshop + async | Workshop + async | Workshop + async |
Outputdifferent | SHACL or ShEx Shapes, Validation Reports, Data Contracts, Shape Documentation | Pretotyping sketch, Test setup, Conversion data, Go or no-go decision | Schema Diagram, Node and Relationship Catalog, Index Plan, Migration Scripts, Sample Queries |
Tagsno overlap | Knowledge graphValidationSemantic | ValidationDemandMVP | Knowledge graphModelingSemantic |
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