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| Criterion |  Product Discovery Context Canvas |  Knowledge Modeling Shape-First Modeling |  Product Discovery Experiment Canvas |  Product Discovery Test Card |
|---|---|---|---|---|
Purposedifferent | When an environment of users, systems, and constraints is hard to grasp, it puts the context compactly on the table. It creates a clear reading of influence, boundary, and dependency. | 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 experiments become unreadable after the fact, it arranges hypothesis, signal, and learning goal on a single canvas. It separates problem, assumption, solution, and evidence. The result is captured as a Completed Experiment Canvas and a Success Metric. | The Test Card turns a critical assumption into a testable claim and specifies in advance which result counts as success. |
Complexitydifferent | Low | Medium | Low | Low |
Timedifferent | 45-90 min | Halber Tag pro Domain Slice | 30-60 min | 20-35 min |
Participantsdifferent | 3-10 | 1-4 | 1-5 | 1-5 |
Formatdifferent | Workshop | Workshop + async | Workshop + async | Workshop + async |
Outputdifferent | Context canvas, Open questions, Shared context notes | SHACL or ShEx Shapes, Validation Reports, Data Contracts, Shape Documentation | Completed Experiment Canvas, Success Metric | Test Card with a pre-set threshold |
Tagsno overlap | ContextFramingRequirementsCanvas | Knowledge graphValidationSemantic | ExperimentsValidationDiscoveryHypothesis | ExperimentsValidationDiscoveryHypothesis |