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| Criterion |  Product Discovery Pretotyping |  Operations Causal Factor Analysis |  Product Discovery Fake Door Test |
|---|---|---|---|
Purposedifferent | Pretotyping clarifies whether a customer problem and solution idea create enough real demand. It separates problem, assumption, solution, and evidence, and captures the result as a pretotyping sketch, test setup, and conversion data. | For an event with a complicated course, the method breaks down the contributing factors along the timeline. It shows how conditions, decisions, and reactions together produce a course of events. | 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 | Low | High | Medium |
Timedifferent | Stunden bis wenige Tage | 2-6 h | 1-5 Tage |
Participantsdifferent | 1-4 | 3-10 | Nutzertraffic |
Formatdifferent | Workshop + async | Workshop + async | Async |
Outputdifferent | Pretotyping sketch, Test setup, Conversion data, Go or no-go decision | Event Timeline, Causal Factor Chart, Cause List, Corrective Actions | Click Data, Interest Signal, Learning Decision |
Tagsno overlap | ValidationDemandMVP | CausalityIncidentRoot causeTimeline | ValidationExperimentsDemandDiscovery |
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