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| Criterion | ![]() Operations Scatter Diagram | ![]() Operations Fishbone Diagram | ![]() Product Discovery Riskiest Assumption Test | ![]() Product Discovery Fake Door Test |
|---|---|---|---|---|
Purposedifferent | When the question is whether two measures are related, the method makes patterns in the data picture visible. It separates felt correlations from relationships that actually show up in the data. | When a problem has several possible contributing factors, the method sorts causes by cause areas. It prevents an initial hunch from blocking the view of other plausible drivers. | When an idea hinges on one critical unknown, it prioritizes testing that exact piece of uncertainty first. It separates problem, assumption, solution, and evidence. The result is captured as a prioritized list of assumptions, a test plan, and a result report. | 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 | Low | Medium | Medium |
Timedifferent | 30-90 min | 30-60 min | 1-2 Wochen pro Iteration | 1-5 Tage |
Participantsdifferent | 1-4 | 2-8 | 2-6 | Nutzertraffic |
Formatdifferent | Workshop + async | Workshop | Workshop + async | Async |
Outputdifferent | Scatter Plot, Korrelationsnotiz, Hypothesenliste | Fishbone Diagram, Cause Categories, Investigation Backlog | Prioritized Assumption List, Test Plan, Results Report | Click Data, Interest Signal, Learning Decision |
Tagsno overlap | Root causeQualityVisualization | Root causeQualityOperations | ExperimentsValidationDiscoveryAssumptions | ValidationExperimentsDemandDiscovery |



