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| Criterion |  Product Discovery Hypothesis Prioritization Canvas |  Product Discovery Kano Model |  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 features need to be distinguished by their effect on satisfaction, it makes expectations and surprises comparable. It separates basic needs, performance contribution, and delight. | 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 | 1-2 Tage | 30-60 min | 45-75 min |
Participantsdifferent | 3-8 | 10-50 | 1-5 | 2-8 |
Formatdifferent | Workshop | Workshop + async | Workshop + async | Workshop |
Outputdifferent | Prioritization Canvas, Hypothesis Backlog | Kano Matrix, Feature Classes, Priority Themes | Completed Experiment Canvas, Success Metric | Test Matrix, Test Plan |
Tagsno overlap | ExperimentsPrioritizationDiscoveryHypothesis | SatisfactionPrioritizationCustomer | ExperimentsValidationDiscoveryHypothesis | ExperimentsValidationDiscoveryOptions |