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Criterion
Paper illustration of Shape-first Modeling with its method-specific working model.
Knowledge Modeling
Shape-First Modeling
Paper illustration of a calm four-quadrant Assumption Map with hypothesis cards and emphasis on important assumptions with little evidence.
Product Discovery
Assumption Mapping
Paper illustration of Linked Open Terms with its method-specific working model.
Knowledge Modeling
Linked Open Terms
A/B Testing workspace showing the question, observations, and next decision.
Growth
A/B Testing
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 assumptions still sit unordered in the room, it weighs uncertainty against leverage. It makes visible which hypotheses should be checked first.Linked Open Terms connects terminology work with linked-data thinking and makes terminology technically connectable. Vocabulary, meanings, and references can thereby be maintained consistently.When two variants compete, discussions quickly decide by taste rather than effect. A/B Testing checks behavior under controlled conditions and separates real improvement from chance or expectation effects.
Complexitydifferent
MediumMediumMediumHigh
Timedifferent
Halber Tag pro Domain Slice45-60 minWochen bis Monate1-4 Wochen
Participantsdifferent
1-42-82-81-6
Formatdifferent
Workshop + asyncWorkshop + asyncWorkshop + asyncAsync
Outputdifferent
SHACL or ShEx Shapes, Validation Reports, Data Contracts, Shape DocumentationAssumption map, Test backlog, Risk rankingOntology Requirements, Conceptual Model, Published Ontology, Documentation, Maintenance PlanExperiment results, Decision log, Learning summary
Tagsno overlap
Knowledge graphValidationSemantic
AssumptionsRiskExperimentsValidation
OntologyMethodologyAgileSemantic
ExperimentsGrowthAnalyticsValidation
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