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| Criterion |  Product Discovery Concierge MVP |  UX Research Card Sorting |  Product Discovery Experiment Canvas |  Product Discovery Fake Door Test |
|---|---|---|---|---|
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 content only makes sense internally and users can't find the structure again, card sorting exposes their mental order. Terms, groups, and naming are then aligned with the target group's expectations. | 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 demand is still unclear, it measures interest in a feature before it is built. It separates real behavior from polite agreement and deliberately keeps build effort small. |
Complexitydifferent | Medium | Low | Low | Medium |
Timedifferent | 1-4 Wochen | 20-45 min | 30-60 min | 1-5 Tage |
Participantsdifferent | 3-10 Kunden | Based on research question | 1-5 | Nutzertraffic |
Formatdifferent | Workshop + async | Workshop + async | Workshop + async | Async |
Outputdifferent | Concierge Learnings, Service Blueprint, MVP Risks | Content groups, Label set, IA hypotheses | Completed Experiment Canvas, Success Metric | Click Data, Interest Signal, Learning Decision |
Tagsno overlap | MVPValidationServiceDiscovery | Information architectureNavigationStructure | ExperimentsValidationDiscoveryHypothesis | ValidationExperimentsDemandDiscovery |