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| Criterion |  Knowledge Modeling Property Graph Schema Design |  Product Discovery Context Canvas |  Knowledge Modeling Shape-First Modeling |  Growth A/B Testing |
|---|---|---|---|---|
Purposedifferent | 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. | 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. | When two variants compete, discussions quickly decide by taste rather than effect. A/B Testing checks behavior under controlled conditions and separates real improvement from chance or expectation effects. |
Complexitydifferent | Medium | Low | Medium | High |
Timedifferent | 4-8 h initial, dann iterativ | 45-90 min | Halber Tag pro Domain Slice | 1-4 Wochen |
Participantsdifferent | 1-6 | 3-10 | 1-4 | 1-6 |
Formatdifferent | Workshop + async | Workshop | Workshop + async | Async |
Outputdifferent | Schema Diagram, Node and Relationship Catalog, Index Plan, Migration Scripts, Sample Queries | Context canvas, Open questions, Shared context notes | SHACL or ShEx Shapes, Validation Reports, Data Contracts, Shape Documentation | Experiment results, Decision log, Learning summary |
Tagsno overlap | Knowledge graphModelingSemantic | ContextFramingRequirementsCanvas | Knowledge graphValidationSemantic | ExperimentsGrowthAnalyticsValidation |