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| Criterion |  Product Discovery Concierge MVP |  Product Strategy ICE Scoring |  Growth A/B Testing |  Product Discovery Learning Card |
|---|---|---|---|---|
Purposedifferent | 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 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. | The Learning Card connects traceable test results to a reasoned next action while keeping the limits of the insight visible. |
Complexitydifferent | Medium | Low | High | Low |
Timedifferent | 1-4 Wochen | 30-60 min | 1-4 Wochen | 25-40 min |
Participantsdifferent | 3-10 Kunden | 2-8 | 1-6 | 1-5 |
Formatdifferent | Workshop + async | Workshop + async | Async | Workshop + async |
Outputdifferent | Concierge Learnings, Service Blueprint, MVP Risks | ICE Table, Top Idea List | Experiment results, Decision log, Learning summary | Learning Card with evidence and next action |
Tagsno overlap | MVPValidationServiceDiscovery | PrioritizationScoringGrowthDecision | ExperimentsGrowthAnalyticsValidation | ExperimentsValidationDiscoveryLearning |