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| Criterion |  Product Discovery Concierge MVP |  Product Discovery Problem Interview |  UX Research Card Sorting |  Product Discovery Experiment Canvas |
|---|---|---|---|---|
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 the picture of the problem still needs to become solid, it asks about real situations and consequences. It separates genuine suffering from mere interest in a solution. | 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. |
Complexitydifferent | Medium | Medium | Low | Low |
Timedifferent | 1-4 Wochen | 30-60 min je Interview | 20-45 min | 30-60 min |
Participantsdifferent | 3-10 Kunden | 5-12 Interviews | Based on research question | 1-5 |
Formatsame | Workshop + async | Workshop + async | Workshop + async | Workshop + async |
Outputdifferent | Concierge Learnings, Service Blueprint, MVP Risks | Problem Evidence, Risk Notes, Customer Segments | Content groups, Label set, IA hypotheses | Completed Experiment Canvas, Success Metric |
Tagsno overlap | MVPValidationServiceDiscovery | DiscoveryInterviewsValidation | Information architectureNavigationStructure | ExperimentsValidationDiscoveryHypothesis |