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| Criterion |  Decision Making Decision Matrix |  Product Discovery Concierge MVP |  Product Discovery Problem Interview |  Product Discovery Experiment Canvas |
|---|---|---|---|---|
Purposedifferent | When several options collide with several criteria, comparison quickly becomes subjective. A Decision Matrix makes the trade-off visible and brings weighting, criteria, and options into a shared logic. | 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 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 | 45-90 min | 1-4 Wochen | 30-60 min je Interview | 30-60 min |
Participantsdifferent | 2-8 | 3-10 Kunden | 5-12 Interviews | 1-5 |
Formatsame | Workshop + async | Workshop + async | Workshop + async | Workshop + async |
Outputdifferent | Decision Matrix, Scoring Rationale, Selected Option | Concierge Learnings, Service Blueprint, MVP Risks | Problem Evidence, Risk Notes, Customer Segments | Completed Experiment Canvas, Success Metric |
Tagsno overlap | DecisionCriteriaScoringTradeoffs | MVPValidationServiceDiscovery | DiscoveryInterviewsValidation | ExperimentsValidationDiscoveryHypothesis |