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| Criterion |  Product Discovery Concierge MVP |  Systems Thinking Current Reality Tree |  Product Discovery Experiment Canvas |
|---|---|---|---|
Purposedifferent | 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. | A Current Reality Tree condenses many symptoms into a few causal chains. The method makes visible which core problems drive several negative effects at once. | 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 | High | Low |
Timedifferent | 1-4 Wochen | 2-6 h | 30-60 min |
Participantsdifferent | 3-10 Kunden | 3-8 | 1-5 |
Formatdifferent | Workshop + async | Workshop | Workshop + async |
Outputdifferent | Concierge Learnings, Service Blueprint, MVP Risks | Current Reality Tree, Core Problems, Intervention Ideas | Completed Experiment Canvas, Success Metric |
Tagsno overlap | MVPValidationServiceDiscovery | Systems thinkingRoot causeConstraintsCausality | ExperimentsValidationDiscoveryHypothesis |
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