View methods side by side.
Choose up to four methods. Add them using the search and share the comparison by copying its link.
| Criterion | ![]() Delivery MoSCoW | ![]() Product Discovery Opportunity Solution Tree | ![]() Product Discovery Experiment Canvas | ![]() Product Discovery Fake Door Test |
|---|---|---|---|---|
Purposedifferent | When a release carries too many demands and priorities are only ever negotiated, MoSCoW creates clear boundaries for the next cut. Must, Should, Could, and Won't make commitment, room for maneuver, and trade-off logic visible to everyone involved. | When discovery keeps swinging between goals, ideas, and learning loops, it creates clear steering logic. It connects the desired outcome, opportunities, and experiments into a legible structure. | 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 | Low | Medium | Low | Medium |
Timedifferent | 30-90 min | 1-2 h Setup, laufend | 30-60 min | 1-5 Tage |
Participantsdifferent | 3-12 | 2-6 | 1-5 | Nutzertraffic |
Formatdifferent | Workshop + async | Workshop + async | Workshop + async | Async |
Outputdifferent | Prioritized Backlog, Release Scope, Tradeoff Notes | Opportunity Solution Tree, Experiment Backlog, Learning Log | Completed Experiment Canvas, Success Metric | Click Data, Interest Signal, Learning Decision |
Tagsno overlap | PrioritizationScopeDecision | DiscoveryOutcomesExperimentsOpportunity | ExperimentsValidationDiscoveryHypothesis | ValidationExperimentsDemandDiscovery |



