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| Criterion | ![]() UX Research Diary Study | ![]() Product Discovery Kano Model | ![]() Growth Funnel Analysis | ![]() UX Research HEART Framework |
|---|---|---|---|---|
Purposedifferent | When experiences build up over days or weeks and a single session cannot capture them, Diary Study records the course of everyday life. Recurring triggers, moods, and habits become visible this way, beyond the sharpness of memory. | 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 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. | Helps clarify observations, needs, and patterns in concrete terms. It groups observations into patterns, questions, and decisions. The result is captured as a HEART-GSM table and dashboard. |
Complexitysame | Medium | Medium | Medium | Medium |
Timedifferent | 1-4 Wochen | 1-2 Tage | 1-3 h | 120 min initial, dann laufend |
Participantsdifferent | 5-20 | 10-50 | 1-5 | 3-6 |
Formatdifferent | Async | Workshop + async | Async | Workshop + async |
Outputdifferent | Diary Entries, Longitudinal Patterns, Experience Timeline | Kano Matrix, Feature Classes, Priority Themes | Funnel report, Drop-off analysis, Optimization hypotheses | HEART-GSM Table, Dashboard |
Tagsno overlap | UX researchTrackingBehavior | SatisfactionPrioritizationCustomer | AnalyticsConversionGrowth | MetricsUX researchMeasurementSatisfaction |



