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| Criterion |  Product Strategy ICE Scoring |  Product Discovery Concierge MVP |  Growth A/B Testing |
|---|---|---|---|
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 an idea can first fail or grow through genuine hands-on support, it relies on manual work instead of automation. It shows whether user value holds up even under manual execution. | 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. |
Complexitydifferent | Low | Medium | High |
Timedifferent | 30-60 min | 1-4 Wochen | 1-4 Wochen |
Participantsdifferent | 2-8 | 3-10 Kunden | 1-6 |
Formatdifferent | Workshop + async | Workshop + async | Async |
Outputdifferent | ICE Table, Top Idea List | Concierge Learnings, Service Blueprint, MVP Risks | Experiment results, Decision log, Learning summary |
Tagsno overlap | PrioritizationScoringGrowthDecision | MVPValidationServiceDiscovery | ExperimentsGrowthAnalyticsValidation |
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