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| Criterion |  Knowledge Modeling Shape-First Modeling |  Systems Thinking Leverage Points |  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. | Leverage Points show exactly where interventions in a system produce a disproportionate effect. It draws relationships, patterns, and feedback loops. The result is captured as a leverage map and action strategy. | 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. |
Complexitydifferent | Medium | High | Medium | Medium |
Timedifferent | Halber Tag pro Domain Slice | Half day | 45-60 min | 1-2 Wochen pro Iteration |
Participantsdifferent | 1-4 | 3-12 | 2-8 | 2-6 |
Formatdifferent | Workshop + async | Workshop | Workshop + async | Workshop + async |
Outputdifferent | SHACL or ShEx Shapes, Validation Reports, Data Contracts, Shape Documentation | Leverage Map, Action Strategy | Assumption map, Test backlog, Risk ranking | Prioritized Assumption List, Test Plan, Results Report |
Tagsno overlap | Knowledge graphValidationSemantic | Systems thinkingChangeStrategy | AssumptionsRiskExperimentsValidation | ExperimentsValidationDiscoveryAssumptions |