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| Criterion |  Engineering Golden Path |  Product Discovery Concierge MVP |  Product Discovery Experiment Canvas |  Product Discovery Fake Door Test |
|---|---|---|---|---|
Purposedifferent | 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 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 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. | 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. |
Complexitydifferent | Medium | Medium | Low | Medium |
Timedifferent | 1-3 Tage Setup, laufend | 1-4 Wochen | 30-60 min | 1-5 Tage |
Participantsdifferent | 2-8 | 3-10 Kunden | 1-5 | Nutzertraffic |
Formatdifferent | Workshop + async | Workshop + async | Workshop + async | Async |
Outputdifferent | Golden Path Guide, Templates, Quality Checks | Concierge Learnings, Service Blueprint, MVP Risks | Completed Experiment Canvas, Success Metric | Click Data, Interest Signal, Learning Decision |
Tagsno overlap | EngineeringProductivityGovernance | MVPValidationServiceDiscovery | ExperimentsValidationDiscoveryHypothesis | ValidationExperimentsDemandDiscovery |