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Selected:Shape-First ModelingARID (Active Reviews for Intermediate Designs)Learning CardMVP Test Matrix
| Criterion | ![]() Knowledge Modeling Shape-First Modeling | ![]() Architecture ARID (Active Reviews for Intermediate Designs) | ![]() Product Discovery Learning Card | ![]() Product Discovery MVP Test Matrix |
|---|---|---|---|---|
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. | ARID examines how well developers can work with a technical design. It focuses on a part of the system that can still be revised, between the architecture overview and the detailed specification. | The Learning Card connects traceable test results to a reasoned next action while keeping the limits of the insight visible. | When several minimal variants compete to answer the same question, it makes comparing and choosing between them cleaner. It separates problem, assumption, solution, and evidence. The result is captured as a Test Matrix and a Test Plan. |
Complexitydifferent | Medium | Medium | Low | Medium |
Timedifferent | Halber Tag pro Domain Slice | 2–4 h review as a planning range; preparation and evaluation additional | 25-40 min | 45-75 min |
Participantsdifferent | 1-4 | Designers, developers as users, and facilitation | 1-5 | 2-8 |
Formatdifferent | Workshop + async | Workshop + async | Workshop + async | Workshop |
Outputdifferent | SHACL or ShEx Shapes, Validation Reports, Data Contracts, Shape Documentation | Prioritized development tasks, Jointly produced code or pseudocode, Observed difficulties and open design questions, Proposed design revisions | Learning Card with evidence and next action | Test Matrix, Test Plan |
Tags1 shared | Knowledge graphValidationSemantic | ArchitectureEngineeringFeedbackValidationTasks | ExperimentsValidationDiscoveryLearning | ExperimentsValidationDiscoveryOptions |



