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| Criterion | ![]() Product Discovery Kano Model | ![]() Product Discovery Hypothesis Prioritization Canvas | ![]() Product Discovery Assumption Mapping |
|---|---|---|---|
Purposedifferent | 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 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 assumptions still sit unordered in the room, it weighs uncertainty against leverage. It makes visible which hypotheses should be checked first. |
Complexitysame | Medium | Medium | Medium |
Timedifferent | 1-2 Tage | 60-90 min | 45-60 min |
Participantsdifferent | 10-50 | 3-8 | 2-8 |
Formatdifferent | Workshop + async | Workshop | Workshop + async |
Outputdifferent | Kano Matrix, Feature Classes, Priority Themes | Prioritization Canvas, Hypothesis Backlog | Assumption map, Test backlog, Risk ranking |
Tagsno overlap | SatisfactionPrioritizationCustomer | ExperimentsPrioritizationDiscoveryHypothesis | AssumptionsRiskExperimentsValidation |
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