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| Criterion |  Product Discovery Problem Interview |  Product Discovery Concierge MVP |  Decision Making Argument Mapping |  Product Discovery Experiment Canvas |
|---|---|---|---|---|
Purposedifferent | 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 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 statements, evidence, and counterarguments get mixed up, a debate quickly loses its structure. Argument Mapping breaks a thesis down into its reasoning and makes visible what it really rests on. | 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 | Medium | Low |
Timedifferent | 30-60 min je Interview | 1-4 Wochen | 1-3 h | 30-60 min |
Participantsdifferent | 5-12 Interviews | 3-10 Kunden | 1-8 | 1-5 |
Formatsame | Workshop + async | Workshop + async | Workshop + async | Workshop + async |
Outputdifferent | Problem Evidence, Risk Notes, Customer Segments | Concierge Learnings, Service Blueprint, MVP Risks | Argument Map, Evidence Gaps, Decision Rationale | Completed Experiment Canvas, Success Metric |
Tagsno overlap | DiscoveryInterviewsValidation | MVPValidationServiceDiscovery | SensemakingDecisionRationale | ExperimentsValidationDiscoveryHypothesis |