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| Criterion | ![]() Product Discovery Kano Model | ![]() UX Research Tree Testing | ![]() Innovation Lean Startup | ![]() UX Research Card Sorting |
|---|---|---|---|---|
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 a navigation exists but search paths still fail, tree testing checks findability without visual distraction. The method shows whether labels, levels, and paths really lead to the intended destination. | 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 content only makes sense internally and users can't find the structure again, card sorting exposes their mental order. Terms, groups, and naming are then aligned with the target group's expectations. |
Complexitydifferent | Medium | Medium | Medium | Low |
Timedifferent | 1-2 Tage | 1-2 Tage | Wochen bis Monate je Lernzyklus | 20-45 min |
Participantsdifferent | 10-50 | Based on research question | 2-8 | Based on research question |
Formatdifferent | Workshop + async | Async | Workshop + async | Workshop + async |
Outputdifferent | Kano Matrix, Feature Classes, Priority Themes | Findability Metrics, Path Analysis, Revised IA | Hypothesis list, MVPs, Learning reports, Pivot or persevere decision | Content groups, Label set, IA hypotheses |
Tagsno overlap | SatisfactionPrioritizationCustomer | Information architectureNavigationFindability | LeanStartupValidationMVP | Information architectureNavigationStructure |



