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| Criterion |  Product Discovery Jobs to Be Done |  Product Discovery Concierge MVP |  Product Discovery Fake Door Test |  Product Discovery Opportunity Scoring |
|---|---|---|---|---|
Purposedifferent | When switching motives and progress are unclear, it reconstructs the situation from real customer circumstances. It shows why a switch happens and what kind of progress is being sought. | 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 demand is still unclear, it measures interest in a feature before it is built. It separates real behavior from polite agreement and deliberately keeps build effort small. | When opportunities need ranking by their effect, it makes importance and satisfaction directly comparable. It separates problem, assumption, solution, and evidence. The result is captured as an opportunity-score table and top outcomes. |
Complexitysame | Medium | Medium | Medium | Medium |
Timedifferent | 1-3 Wochen | 1-4 Wochen | 1-5 Tage | 60-120 min |
Participantsdifferent | 5-12 Interviews | 3-10 Kunden | Nutzertraffic | 3-6 |
Formatdifferent | Workshop + async | Workshop + async | Async | Workshop + async |
Outputdifferent | Job Stories, Outcome Statements, Opportunity List | Concierge Learnings, Service Blueprint, MVP Risks | Click Data, Interest Signal, Learning Decision | Opportunity Score Table, Top Outcomes |
Tagsno overlap | CustomerOutcomesNeeds | MVPValidationServiceDiscovery | ValidationExperimentsDemandDiscovery | PrioritizationDiscoveryOutcomesNeeds |