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Selected:ARID (Active Reviews for Intermediate Designs)Ivy Lee MethodCompetency QuestionsShape-First Modeling
| Criterion | ![]() Architecture ARID (Active Reviews for Intermediate Designs) | ![]() Operations Ivy Lee Method | ![]() Knowledge Modeling Competency Questions | ![]() Knowledge Modeling Shape-First Modeling |
|---|---|---|---|---|
Purposedifferent | 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. | With a restless workday full of too many open items, the method creates radical simplicity. It directs attention to a short sequence instead of a broad, still-open field. | 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. | 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 | Medium | Medium |
Timedifferent | 2–4 h review as a planning range; preparation and evaluation additional | 5-10 min daily | 2-4 h | Halber Tag pro Domain Slice |
Participantsdifferent | Designers, developers as users, and facilitation | 1 | 2-8 | 1-4 |
Formatdifferent | Workshop + async | Async | Workshop + async | Workshop + async |
Outputdifferent | Prioritized development tasks, Jointly produced code or pseudocode, Observed difficulties and open design questions, Proposed design revisions | Daily Priority List, Completion Notes | Competency Question Set, Required Concepts, Test Queries, Coverage Matrix | SHACL or ShEx Shapes, Validation Reports, Data Contracts, Shape Documentation |
Tagsno overlap | ArchitectureEngineeringFeedbackValidationTasks | PrioritizationProductivityExecution | OntologyKnowledge graphScopeRequirementsSemantic | Knowledge graphValidationSemantic |



