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| Criterion |  Product Strategy Product Canvas |  Operations Fishbone Diagram |  Product Discovery Fake Door Test |  Product Discovery Experiment Canvas |
|---|---|---|---|---|
Purposedifferent | When product goal and feature scope don't yet fit cleanly together, it creates a shared working picture. It connects need, core features, and assumptions into a solid starting point. | 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 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. | 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. |
Complexitydifferent | Medium | Low | Medium | Low |
Timedifferent | 1-2 h | 30-60 min | 1-5 Tage | 30-60 min |
Participantsdifferent | 2-8 | 2-8 | Nutzertraffic | 1-5 |
Formatdifferent | Workshop + async | Workshop | Async | Workshop + async |
Outputdifferent | Product Canvas, Product Assumptions, Scope Notes | Fishbone Diagram, Cause Categories, Investigation Backlog | Click Data, Interest Signal, Learning Decision | Completed Experiment Canvas, Success Metric |
Tagsno overlap | CanvasDiscoveryScope | Root causeQualityOperations | ValidationExperimentsDemandDiscovery | ExperimentsValidationDiscoveryHypothesis |