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| Criterion |  Product Strategy ICE Scoring |  Growth A/B Testing |  Knowledge Modeling Shape-First Modeling |  Product Discovery Smoke Test |
|---|---|---|---|---|
Purposedifferent | When ideas need sorting quickly, it condenses impact, confidence, and effort into one compact score. It connects customer value, product logic, and decision priorities. The result is captured as an ICE table and top-ideas list. | When two variants compete, discussions quickly decide by taste rather than effect. A/B Testing checks behavior under controlled conditions and separates real improvement from chance or expectation effects. | 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. |
Complexitydifferent | Low | High | Medium | Low |
Timedifferent | 30-60 min | 1-4 Wochen | Halber Tag pro Domain Slice | 1-5 Tage |
Participantsdifferent | 2-8 | 1-6 | 1-4 | Nutzertraffic |
Formatdifferent | Workshop + async | Async | Workshop + async | Async |
Outputdifferent | ICE Table, Top Idea List | Experiment results, Decision log, Learning summary | SHACL or ShEx Shapes, Validation Reports, Data Contracts, Shape Documentation | Interest Metrics, Conversion Signal, Learning Note |
Tagsno overlap | PrioritizationScoringGrowthDecision | ExperimentsGrowthAnalyticsValidation | Knowledge graphValidationSemantic | ValidationExperimentsDemandGrowth |