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| Criterion |  Knowledge Modeling Shape-First Modeling |  Growth A/B Testing |  Architecture Software Architecture Canvas |  Architecture Architecture Inception Canvas |
|---|---|---|---|---|
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 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. | The Software Architecture Canvas reduces a system to the most important architecture decisions, constraints, and interfaces. It is useful when teams need a resilient overall picture quickly. | The Architecture Inception Canvas bundles the first architecture questions into a compact decision picture. It fits when an initiative is still in motion but still needs clear guardrails. |
Complexitydifferent | Medium | High | Low | Low |
Timedifferent | Halber Tag pro Domain Slice | 1-4 Wochen | 1-2 h | 1-2 h |
Participantsdifferent | 1-4 | 1-6 | 3-10 | 3-8 |
Formatdifferent | Workshop + async | Async | Workshop | Workshop |
Outputdifferent | SHACL or ShEx Shapes, Validation Reports, Data Contracts, Shape Documentation | Experiment results, Decision log, Learning summary | Architecture Canvas, Goals, Constraints, Quality Attributes | Inception Canvas, Risks, Goal List, Open Questions |
Tagsno overlap | Knowledge graphValidationSemantic | ExperimentsGrowthAnalyticsValidation | CanvasArchitectureAlignmentWorkshop | AlignmentArchitectureCanvas |