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| Criterion |  Architecture Risk Storming |  Knowledge Modeling Property Graph Schema Design |  Product Discovery Assumption Mapping |  Knowledge Modeling Shape-First Modeling |
|---|---|---|---|---|
Purposedifferent | Helps clarify architecture context, options, and consequences in concrete terms. It organizes technical context, alternatives, and consequences. The result is captured as an Annotated Diagram, a Prioritized Risk List, and an Action Backlog. | 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 assumptions still sit unordered in the room, it weighs uncertainty against leverage. It makes visible which hypotheses should be checked first. | 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 | Low | Medium | Medium | Medium |
Timedifferent | 60-90 min | 4-8 h initial, dann iterativ | 45-60 min | Halber Tag pro Domain Slice |
Participantsdifferent | 4-12 | 1-6 | 2-8 | 1-4 |
Formatdifferent | Workshop | Workshop + async | Workshop + async | Workshop + async |
Outputdifferent | Annotated Diagram, Prioritized Risk List, Action Backlog | Schema Diagram, Node and Relationship Catalog, Index Plan, Migration Scripts, Sample Queries | Assumption map, Test backlog, Risk ranking | SHACL or ShEx Shapes, Validation Reports, Data Contracts, Shape Documentation |
Tagsno overlap | RiskArchitectureWorkshopValidation | Knowledge graphModelingSemantic | AssumptionsRiskExperimentsValidation | Knowledge graphValidationSemantic |