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| Criterion | ![]() Product Discovery Concierge MVP | ![]() Engineering Golden Path | ![]() Product Discovery Fake Door Test |
|---|---|---|---|
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. | When teams need a reliable default path for frequent use, sprawl quickly emerges without any guiding logic. Golden Path bundles the preferred path so good practice becomes easy and deviation becomes deliberate. | 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. |
Complexitysame | Medium | Medium | Medium |
Timedifferent | 1-4 Wochen | 1-3 Tage Setup, laufend | 1-5 Tage |
Participantsdifferent | 3-10 Kunden | 2-8 | Nutzertraffic |
Formatdifferent | Workshop + async | Workshop + async | Async |
Outputdifferent | Concierge Learnings, Service Blueprint, MVP Risks | Golden Path Guide, Templates, Quality Checks | Click Data, Interest Signal, Learning Decision |
Tagsno overlap | MVPValidationServiceDiscovery | EngineeringProductivityGovernance | ValidationExperimentsDemandDiscovery |
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