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| Criterion |  Product Discovery Kano Model |  Innovation Lean Startup |  Product Discovery Assumption Mapping |  Growth A/B Testing |
|---|---|---|---|---|
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. | For uncertain business assumptions, the method forces the idea into contact with real market reactions early. It separates wishful picture, assumption, and observable behavior, so that learning becomes faster than planning. This translates uncertainty into measurable insight. | When assumptions still sit unordered in the room, it weighs uncertainty against leverage. It makes visible which hypotheses should be checked first. | When two variants compete, discussions quickly decide by taste rather than effect. A/B Testing checks behavior under controlled conditions and separates real improvement from chance or expectation effects. |
Complexitydifferent | Medium | Medium | Medium | High |
Timedifferent | 1-2 Tage | Wochen bis Monate je Lernzyklus | 45-60 min | 1-4 Wochen |
Participantsdifferent | 10-50 | 2-8 | 2-8 | 1-6 |
Formatdifferent | Workshop + async | Workshop + async | Workshop + async | Async |
Outputdifferent | Kano Matrix, Feature Classes, Priority Themes | Hypothesis list, MVPs, Learning reports, Pivot or persevere decision | Assumption map, Test backlog, Risk ranking | Experiment results, Decision log, Learning summary |
Tagsno overlap | SatisfactionPrioritizationCustomer | LeanStartupValidationMVP | AssumptionsRiskExperimentsValidation | ExperimentsGrowthAnalyticsValidation |