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| Criterion |  Knowledge Modeling Shape-First Modeling |  Product Discovery Assumption Mapping |  Architecture Architecture Communication Canvas |  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. | The Architecture Communication Canvas plans architecture communication so the right people receive the right message. The method turns technical complexity into deliberate communication design. | 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 | Medium | Medium | Medium | High |
Timedifferent | Halber Tag pro Domain Slice | 45-60 min | 60-120 min | 1-4 Wochen |
Participantsdifferent | 1-4 | 2-8 | 2-8 | 1-6 |
Formatdifferent | Workshop + async | Workshop + async | Workshop + async | Async |
Outputdifferent | SHACL or ShEx Shapes, Validation Reports, Data Contracts, Shape Documentation | Assumption map, Test backlog, Risk ranking | Communication Canvas, Stakeholder Messages, Architecture Communication Plan | Experiment results, Decision log, Learning summary |
Tagsno overlap | Knowledge graphValidationSemantic | AssumptionsRiskExperimentsValidation | ArchitectureCommunicationStakeholdersCanvas | ExperimentsGrowthAnalyticsValidation |