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| Criterion |  Product Discovery Concierge MVP |  Decision Making Decision Matrix |  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 several options collide with several criteria, comparison quickly becomes subjective. A Decision Matrix makes the trade-off visible and brings weighting, criteria, and options into a shared logic. | 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 | Medium | High | Low |
Timedifferent | 1-4 Wochen | 45-90 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 | Decision Matrix, Scoring Rationale, Selected Option | Experiment results, Decision log, Learning summary | Learning Card with evidence and next action |
Tagsno overlap | MVPValidationServiceDiscovery | DecisionCriteriaScoringTradeoffs | ExperimentsGrowthAnalyticsValidation | ExperimentsValidationDiscoveryLearning |