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| Criterion |  Product Discovery Concierge MVP |  Innovation Design Thinking |  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. | For complex user problems with an uncertain cause, the method connects observation, interpretation, and experiment into a learning cycle. It keeps the focus on real needs and avoids premature solution language. This produces robust decisions for product and service. | 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 | High | Low | Low |
Timedifferent | 1-4 Wochen | 1 Tag bis mehrere Wochen | 20-45 min | 30-60 min |
Participantsdifferent | 3-10 Kunden | 4-10 | Based on research question | 1-5 |
Formatdifferent | Workshop + async | Workshop | Workshop + async | Workshop + async |
Outputdifferent | Concierge Learnings, Service Blueprint, MVP Risks | Problem Statement, Prototype, Test Learnings | Content groups, Label set, IA hypotheses | Completed Experiment Canvas, Success Metric |
Tagsno overlap | MVPValidationServiceDiscovery | InnovationPrototypeResearch | Information architectureNavigationStructure | ExperimentsValidationDiscoveryHypothesis |