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| Criterion | ![]() Growth Funnel Analysis | ![]() UX Research Diary Study | ![]() Product Strategy DIBB | ![]() Decision Making Delphi Method |
|---|---|---|---|---|
Purposedifferent | 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 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. | DIBB helps clarify target groups, value, goals, and priorities by making the logic behind a decision explicit. It captures results as a DIBB document, belief list, bet list, and learning report. | When knowledge is distributed and direct dominance should be avoided, groups quickly fall under the sway of their opinion leaders. The Delphi Method gathers assessments iteratively and gradually brings expert judgments closer together. |
Complexitydifferent | Medium | Medium | Low | High |
Timedifferent | 1-3 h | 1-4 Wochen | 1-2 h | 1-4 Wochen |
Participantsdifferent | 1-5 | 5-20 | 2-8 | 6-30 Experten |
Formatdifferent | Async | Async | Workshop + async | Async |
Outputdifferent | Funnel report, Drop-off analysis, Optimization hypotheses | Diary Entries, Longitudinal Patterns, Experience Timeline | DIBB document, Belief list, Bet list, Learning report | Expert Forecast, Consensus Range, Assumption Notes |
Tagsno overlap | AnalyticsConversionGrowth | UX researchTrackingBehavior | StrategyDecisionAssumptionsHypothesis | ForecastingExpertsDecisionStrategy |



