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| Criterion |  Product Strategy ICE Scoring |  Growth A/B Testing |  Knowledge Modeling Competency Questions |  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. | Competency Questions translate a domain model into concrete questions that it must be able to answer. The method keeps the model's scope clean and prevents pretty but useless structures. | 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 | 2-4 h | 1-5 Tage |
Participantsdifferent | 2-8 | 1-6 | 2-8 | Nutzertraffic |
Formatdifferent | Workshop + async | Async | Workshop + async | Async |
Outputdifferent | ICE Table, Top Idea List | Experiment results, Decision log, Learning summary | Competency Question Set, Required Concepts, Test Queries, Coverage Matrix | Interest Metrics, Conversion Signal, Learning Note |
Tagsno overlap | PrioritizationScoringGrowthDecision | ExperimentsGrowthAnalyticsValidation | OntologyKnowledge graphScopeRequirementsSemantic | ValidationExperimentsDemandGrowth |