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| Criterion |  Product Discovery Kano Model |  Growth Flywheel |  Growth Funnel Analysis |  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. | Growth often breaks down where a reinforcing mechanism builds up too much friction. A Flywheel shows the cycle of value, repetition, and reinforcement meant to sustain growth. | 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. | 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 | 60-120 min | 1-3 h | 1-4 Wochen |
Participantsdifferent | 10-50 | 3-8 | 1-5 | 1-6 |
Formatdifferent | Workshop + async | Workshop | Async | Async |
Outputdifferent | Kano Matrix, Feature Classes, Priority Themes | Flywheel Map, Friction Points, Growth Levers, Experiment Backlog | Funnel report, Drop-off analysis, Optimization hypotheses | Experiment results, Decision log, Learning summary |
Tagsno overlap | SatisfactionPrioritizationCustomer | GrowthRetentionConversion | AnalyticsConversionGrowth | ExperimentsGrowthAnalyticsValidation |