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Selected:Shape-First ModelingSmoke TestARID (Active Reviews for Intermediate Designs)Competency Questions
| Criterion |  Knowledge Modeling Shape-First Modeling |  Product Discovery Smoke Test |  Architecture ARID (Active Reviews for Intermediate Designs) |  Knowledge Modeling Competency Questions |
|---|---|---|---|---|
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. | 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. | ARID examines how well developers can work with a technical design. It focuses on a part of the system that can still be revised, between the architecture overview and the detailed specification. | Competency Questions translate a domain model into concrete questions that it must be able to answer. The method keeps the model's scope clean and prevents pretty but useless structures. |
Complexitydifferent | Medium | Low | Medium | Medium |
Timedifferent | Halber Tag pro Domain Slice | 1-5 Tage | 2–4 h review as a planning range; preparation and evaluation additional | 2-4 h |
Participantsdifferent | 1-4 | Nutzertraffic | Designers, developers as users, and facilitation | 2-8 |
Formatdifferent | Workshop + async | Async | Workshop + async | Workshop + async |
Outputdifferent | SHACL or ShEx Shapes, Validation Reports, Data Contracts, Shape Documentation | Interest Metrics, Conversion Signal, Learning Note | Prioritized development tasks, Jointly produced code or pseudocode, Observed difficulties and open design questions, Proposed design revisions | Competency Question Set, Required Concepts, Test Queries, Coverage Matrix |
Tagsno overlap | Knowledge graphValidationSemantic | ValidationExperimentsDemandGrowth | ArchitectureEngineeringFeedbackValidationTasks | OntologyKnowledge graphScopeRequirementsSemantic |