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| Criterion |  Product Discovery Dual-Track Agile |  Product Discovery Smoke Test |  Product Discovery Fake Door Test |  Product Discovery Experiment Canvas |
|---|---|---|---|---|
Purposedifferent | When uncertainty and delivery run in parallel, it separates learning work from implementation while keeping both connected. It prevents unvalidated ideas from falling directly into the delivery stream. | When demand only needs to be roughly verified, it tests interest with minimal effort. It measures whether people would take a next step at all. | 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 | Laufend, Wochen bis Monate | 1-5 Tage | 1-5 Tage | 30-60 min |
Participantsdifferent | 4-10 | Nutzertraffic | Nutzertraffic | 1-5 |
Formatdifferent | Workshop + async | Async | Async | Workshop + async |
Outputdifferent | Discovery Backlog, Delivery Backlog, Experiment-Ergebnisse, Validierte Stories | Interest Metrics, Conversion Signal, Learning Note | Click Data, Interest Signal, Learning Decision | Completed Experiment Canvas, Success Metric |
Tagsno overlap | AgileDiscoveryDelivery | ValidationExperimentsDemandGrowth | ValidationExperimentsDemandDiscovery | ExperimentsValidationDiscoveryHypothesis |