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| Criterion |  Knowledge Modeling Shape-First Modeling |  Decision Making Argument Mapping |  Product Discovery Assumption Mapping |  Product Discovery Riskiest Assumption Test |
|---|---|---|---|---|
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 statements, evidence, and counterarguments get mixed up, a debate quickly loses its structure. Argument Mapping breaks a thesis down into its reasoning and makes visible what it really rests on. | When assumptions still sit unordered in the room, it weighs uncertainty against leverage. It makes visible which hypotheses should be checked first. | When an idea hinges on one critical unknown, it prioritizes testing that exact piece of uncertainty first. It separates problem, assumption, solution, and evidence. The result is captured as a prioritized list of assumptions, a test plan, and a result report. |
Complexitysame | Medium | Medium | Medium | Medium |
Timedifferent | Halber Tag pro Domain Slice | 1-3 h | 45-60 min | 1-2 Wochen pro Iteration |
Participantsdifferent | 1-4 | 1-8 | 2-8 | 2-6 |
Formatsame | Workshop + async | Workshop + async | Workshop + async | Workshop + async |
Outputdifferent | SHACL or ShEx Shapes, Validation Reports, Data Contracts, Shape Documentation | Argument Map, Evidence Gaps, Decision Rationale | Assumption map, Test backlog, Risk ranking | Prioritized Assumption List, Test Plan, Results Report |
Tagsno overlap | Knowledge graphValidationSemantic | SensemakingDecisionRationale | AssumptionsRiskExperimentsValidation | ExperimentsValidationDiscoveryAssumptions |