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| Criterion | ![]() Product Discovery Kano Model | ![]() Product Discovery Smoke Test | ![]() Growth Funnel Analysis |
|---|---|---|---|
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 demand only needs to be roughly verified, it tests interest with minimal effort. It measures whether people would take a next step at all. | When many visitors or users drop off along the way, the reason behind the number often stays hidden. Funnel Analysis exposes these transitions and makes visible exactly where the path collapses. |
Complexitydifferent | Medium | Low | Medium |
Timedifferent | 1-2 Tage | 1-5 Tage | 1-3 h |
Participantsdifferent | 10-50 | Nutzertraffic | 1-5 |
Formatdifferent | Workshop + async | Async | Async |
Outputdifferent | Kano Matrix, Feature Classes, Priority Themes | Interest Metrics, Conversion Signal, Learning Note | Funnel report, Drop-off analysis, Optimization hypotheses |
Tagsno overlap | SatisfactionPrioritizationCustomer | ValidationExperimentsDemandGrowth | AnalyticsConversionGrowth |
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