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| Criterion |  Growth A/B Testing |  UX Research Customer Journey Mapping |  Product Discovery Experiment Canvas |  Product Discovery Concierge MVP |
|---|---|---|---|---|
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 a user journey falls apart across many touchpoints, customer journey mapping makes the experience visible as a coherent arc. Phases, emotions, and breaks become legible enough to prioritize critical moments deliberately. | When experiments become unreadable after the fact, it arranges hypothesis, signal, and learning goal on a single canvas. It separates problem, assumption, solution, and evidence. The result is captured as a Completed Experiment Canvas and a Success Metric. | 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. |
Complexitydifferent | High | Medium | Low | Medium |
Timedifferent | 1-4 Wochen | 2-4 h | 30-60 min | 1-4 Wochen |
Participantsdifferent | 1-6 | 4-10 | 1-5 | 3-10 Kunden |
Formatdifferent | Async | Workshop | Workshop + async | Workshop + async |
Outputdifferent | Experiment results, Decision log, Learning summary | Journey Map, Pain-point List, Opportunity Backlog | Completed Experiment Canvas, Success Metric | Concierge Learnings, Service Blueprint, MVP Risks |
Tagsno overlap | ExperimentsGrowthAnalyticsValidation | JourneyServiceService design | ExperimentsValidationDiscoveryHypothesis | MVPValidationServiceDiscovery |