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| Criterion |  Growth A/B Testing |  Product Strategy ICE Scoring |  Domain Modeling Context Map |
|---|---|---|---|
Purposedifferent | 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. | 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 several contexts need to talk to each other, it makes their relationships and dependencies legible. It helps sort integration pressure and responsibilities across system boundaries. |
Complexitydifferent | High | Low | Medium |
Timedifferent | 1-4 Wochen | 30-60 min | 1-3 h |
Participantsdifferent | 1-6 | 2-8 | 2-8 |
Formatdifferent | Async | Workshop + async | Workshop + async |
Outputdifferent | Experiment results, Decision log, Learning summary | ICE Table, Top Idea List | Context Map, Integration Patterns, Boundary Notes |
Tagsno overlap | ExperimentsGrowthAnalyticsValidation | PrioritizationScoringGrowthDecision | Domain-Driven DesignBoundariesStrategy |
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