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| Criterion |  Product Strategy RICE Scoring |  Product Discovery Concierge MVP |  Growth A/B Testing |
|---|---|---|---|
Purposedifferent | When many initiatives compete for the same resources, it brings reach, impact, confidence, and effort into one shared ranking. It makes prioritization economically connectable. | 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 | Medium | Medium | High |
Timedifferent | 60-90 min | 1-4 Wochen | 1-4 Wochen |
Participantsdifferent | 2-10 | 3-10 Kunden | 1-6 |
Formatdifferent | Workshop + async | Workshop + async | Async |
Outputdifferent | RICE Scores, Ranked List, Assumption Log | Concierge Learnings, Service Blueprint, MVP Risks | Experiment results, Decision log, Learning summary |
Tagsno overlap | PrioritizationScoringRoadmapTradeoffs | MVPValidationServiceDiscovery | ExperimentsGrowthAnalyticsValidation |
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