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| Criterion |  Product Discovery Problem Interview |  Decision Making Trade-off Analysis |  Product Discovery Concierge MVP |  Decision Making Constraint Analysis |
|---|---|---|---|---|
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. | With limited resources, quality, speed, cost, and risk almost always compete with each other. Trade-off Analysis makes these tensions explicit and prevents decisions from producing hidden side effects. | 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 an initiative stalls, the limit often lies not in the idea but in hard or soft boundary conditions. Constraint Analysis separates these limits and shows which of them can actually be shaped. |
Complexitydifferent | Medium | Medium | Medium | Low |
Timedifferent | 30-60 min je Interview | 45-120 min | 1-4 Wochen | 30-90 min |
Participantsdifferent | 5-12 Interviews | 2-8 | 3-10 Kunden | 2-8 |
Formatsame | Workshop + async | Workshop + async | Workshop + async | Workshop + async |
Outputdifferent | Problem Evidence, Risk Notes, Customer Segments | Trade-off Matrix, Criteria List, Decision Rationale, Accepted Downsides | Concierge Learnings, Service Blueprint, MVP Risks | Constraint List, Hard/Soft Classification, Option Impact Notes, Decision Boundaries |
Tagsno overlap | DiscoveryInterviewsValidation | TradeoffsDecisionCriteriaOptions | MVPValidationServiceDiscovery | ConstraintsDecisionPlanningOptions |