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| Criterion |  Systems Thinking Leverage Points |  Knowledge Modeling Shape-First Modeling |  Product Discovery Smoke Test |  Product Discovery Assumption Mapping |
|---|---|---|---|---|
Purposedifferent | 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. | 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 demand only needs to be roughly verified, it tests interest with minimal effort. It measures whether people would take a next step at all. | When assumptions still sit unordered in the room, it weighs uncertainty against leverage. It makes visible which hypotheses should be checked first. |
Complexitydifferent | High | Medium | Low | Medium |
Timedifferent | Half day | Halber Tag pro Domain Slice | 1-5 Tage | 45-60 min |
Participantsdifferent | 3-12 | 1-4 | Nutzertraffic | 2-8 |
Formatdifferent | Workshop | Workshop + async | Async | Workshop + async |
Outputdifferent | Leverage Map, Action Strategy | SHACL or ShEx Shapes, Validation Reports, Data Contracts, Shape Documentation | Interest Metrics, Conversion Signal, Learning Note | Assumption map, Test backlog, Risk ranking |
Tagsno overlap | Systems thinkingChangeStrategy | Knowledge graphValidationSemantic | ValidationExperimentsDemandGrowth | AssumptionsRiskExperimentsValidation |