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| Criterion |  Product Discovery Opportunity Solution Tree |  Product Discovery Concierge MVP |  Product Strategy Impact Mapping |  Product Discovery Experiment Canvas |
|---|---|---|---|---|
Purposedifferent | 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 an idea can first fail or grow through genuine hands-on support, it relies on manual work instead of automation. It shows whether user value holds up even under manual execution. | When a goal needs to be connected to several possible paths, it shows chains of impact instead of feature lists. It connects business goal, behavior change, and measures. | 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 | Medium | Medium | Low |
Timedifferent | 1-2 h Setup, laufend | 1-4 Wochen | 45-90 min | 30-60 min |
Participantsdifferent | 2-6 | 3-10 Kunden | 3-8 | 1-5 |
Formatdifferent | Workshop + async | Workshop + async | Workshop | Workshop + async |
Outputdifferent | Opportunity Solution Tree, Experiment Backlog, Learning Log | Concierge Learnings, Service Blueprint, MVP Risks | Impact Map, Outcome Hypotheses, Delivery Options | Completed Experiment Canvas, Success Metric |
Tagsno overlap | DiscoveryOutcomesExperimentsOpportunity | MVPValidationServiceDiscovery | OutcomesStrategyBehaviorPlanning | ExperimentsValidationDiscoveryHypothesis |