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| Criterion | ![]() Product Discovery Hypothesis Prioritization Canvas | ![]() Product Discovery Concierge MVP | ![]() Product Discovery Experiment Canvas | ![]() Product Discovery MVP Test Matrix |
|---|---|---|---|---|
Purposedifferent | When many hypotheses compete for attention, it brings order to their learning sequence and importance. It separates problem, assumption, solution, and evidence. The result is captured as a prioritization canvas and a hypothesis backlog. | 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 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 several minimal variants compete to answer the same question, it makes comparing and choosing between them cleaner. It separates problem, assumption, solution, and evidence. The result is captured as a Test Matrix and a Test Plan. |
Complexitydifferent | Medium | Medium | Low | Medium |
Timedifferent | 60-90 min | 1-4 Wochen | 30-60 min | 45-75 min |
Participantsdifferent | 3-8 | 3-10 Kunden | 1-5 | 2-8 |
Formatdifferent | Workshop | Workshop + async | Workshop + async | Workshop |
Outputdifferent | Prioritization Canvas, Hypothesis Backlog | Concierge Learnings, Service Blueprint, MVP Risks | Completed Experiment Canvas, Success Metric | Test Matrix, Test Plan |
Tags1 shared | ExperimentsPrioritizationDiscoveryHypothesis | MVPValidationServiceDiscovery | ExperimentsValidationDiscoveryHypothesis | ExperimentsValidationDiscoveryOptions |



