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| Criterion |  Product Discovery Pretotyping |  Knowledge Modeling Shape-First Modeling |  Knowledge Modeling Property Graph Schema Design |
|---|---|---|---|
Purposedifferent | 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. | 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. | 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 | Low | Medium | Medium |
Timedifferent | Stunden bis wenige Tage | Halber Tag pro Domain Slice | 4-8 h initial, dann iterativ |
Participantsdifferent | 1-4 | 1-4 | 1-6 |
Formatsame | Workshop + async | Workshop + async | Workshop + async |
Outputdifferent | Pretotyping sketch, Test setup, Conversion data, Go or no-go decision | SHACL or ShEx Shapes, Validation Reports, Data Contracts, Shape Documentation | Schema Diagram, Node and Relationship Catalog, Index Plan, Migration Scripts, Sample Queries |
Tagsno overlap | ValidationDemandMVP | Knowledge graphValidationSemantic | Knowledge graphModelingSemantic |
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