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| Criterion | ![]() Engineering Failure Scenario Analysis | ![]() Product Discovery Concierge MVP | ![]() Product Discovery Fake Door Test |
|---|---|---|---|
Purposedifferent | In critical processes, it is not enough to plan only for the normal case. Failure Scenario Analysis looks at the path into failure and shows which failures, chains, and control gaps cause the most damage. | 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. |
Complexitysame | Medium | Medium | Medium |
Timedifferent | 1-3 h | 1-4 Wochen | 1-5 Tage |
Participantsdifferent | 3-8 | 3-10 Kunden | Nutzertraffic |
Formatdifferent | Workshop | Workshop + async | Async |
Outputdifferent | Failure Scenarios, Risk Notes, Control Gaps, Test and Response Actions | Concierge Learnings, Service Blueprint, MVP Risks | Click Data, Interest Signal, Learning Decision |
Tagsno overlap | FailureResilienceRisk | MVPValidationServiceDiscovery | ValidationExperimentsDemandDiscovery |
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