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Criterion
Paper illustration of Shape-first Modeling with its method-specific working model.
Knowledge Modeling
Shape-First Modeling
Paper notes move from an inbox to action, project and calendar collections.
Operations
Getting Things Done
Paper illustration of Competency Questions with its method-specific working model.
Knowledge Modeling
Competency Questions
Design sheets and interface cards connect to jointly written pseudocode with highlighted unresolved questions.
Architecture
ARID (Active Reviews for Intermediate Designs)
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.With many open commitments and ideas in daily life, a reliable external storage system emerges. The method relieves the mind so priority and context don't have to compete in memory.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.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.
Complexitysame
MediumMediumMediumMedium
Timedifferent
Halber Tag pro Domain Slice1-2 h Setup, laufend2-4 h2–4 h review as a planning range; preparation and evaluation additional
Participantsdifferent
1-412-8Designers, developers as users, and facilitation
Formatdifferent
Workshop + asyncAsyncWorkshop + asyncWorkshop + async
Outputdifferent
SHACL or ShEx Shapes, Validation Reports, Data Contracts, Shape DocumentationAction Lists, Project List, Review RoutineCompetency Question Set, Required Concepts, Test Queries, Coverage MatrixPrioritized development tasks, Jointly produced code or pseudocode, Observed difficulties and open design questions, Proposed design revisions
Tagsno overlap
Knowledge graphValidationSemantic
ProductivityPlanningTasksExecution
OntologyKnowledge graphScopeRequirementsSemantic
ArchitectureEngineeringFeedbackValidationTasks
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