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| Criterion |  Knowledge Modeling Shape-First Modeling |  Architecture Architecture Inception Canvas |  Product Discovery Assumption Mapping |  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. | 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. | When assumptions still sit unordered in the room, it weighs uncertainty against leverage. It makes visible which hypotheses should be checked first. | 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 | Low | Medium | High |
Timedifferent | Halber Tag pro Domain Slice | 1-2 h | 45-60 min | 1-4 Wochen |
Participantsdifferent | 1-4 | 3-8 | 2-8 | 1-6 |
Formatdifferent | Workshop + async | Workshop | Workshop + async | Async |
Outputdifferent | SHACL or ShEx Shapes, Validation Reports, Data Contracts, Shape Documentation | Inception Canvas, Risks, Goal List, Open Questions | Assumption map, Test backlog, Risk ranking | Experiment results, Decision log, Learning summary |
Tagsno overlap | Knowledge graphValidationSemantic | AlignmentArchitectureCanvas | AssumptionsRiskExperimentsValidation | ExperimentsGrowthAnalyticsValidation |