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| Criterion |  Knowledge Modeling Property Graph Schema Design |  Product Discovery Context Canvas |  Product Discovery Smoke Test |  Knowledge Modeling Shape-First Modeling |
|---|---|---|---|---|
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. | When demand only needs to be roughly verified, it tests interest with minimal effort. It measures whether people would take a next step at all. | 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. |
Complexitydifferent | Medium | Low | Low | Medium |
Timedifferent | 4-8 h initial, dann iterativ | 45-90 min | 1-5 Tage | Halber Tag pro Domain Slice |
Participantsdifferent | 1-6 | 3-10 | Nutzertraffic | 1-4 |
Formatdifferent | Workshop + async | Workshop | Async | Workshop + async |
Outputdifferent | Schema Diagram, Node and Relationship Catalog, Index Plan, Migration Scripts, Sample Queries | Context canvas, Open questions, Shared context notes | Interest Metrics, Conversion Signal, Learning Note | SHACL or ShEx Shapes, Validation Reports, Data Contracts, Shape Documentation |
Tagsno overlap | Knowledge graphModelingSemantic | ContextFramingRequirementsCanvas | ValidationExperimentsDemandGrowth | Knowledge graphValidationSemantic |