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| Criterion |  Growth Funnel Analysis |  Product Strategy RICE Scoring |  Decision Making Trade-off Analysis |  Growth A/B Testing |
|---|---|---|---|---|
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 many initiatives compete for the same resources, it brings reach, impact, confidence, and effort into one shared ranking. It makes prioritization economically connectable. | With limited resources, quality, speed, cost, and risk almost always compete with each other. Trade-off Analysis makes these tensions explicit and prevents decisions from producing hidden side effects. | 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 | 1-3 h | 60-90 min | 45-120 min | 1-4 Wochen |
Participantsdifferent | 1-5 | 2-10 | 2-8 | 1-6 |
Formatdifferent | Async | Workshop + async | Workshop + async | Async |
Outputdifferent | Funnel report, Drop-off analysis, Optimization hypotheses | RICE Scores, Ranked List, Assumption Log | Trade-off Matrix, Criteria List, Decision Rationale, Accepted Downsides | Experiment results, Decision log, Learning summary |
Tagsno overlap | AnalyticsConversionGrowth | PrioritizationScoringRoadmapTradeoffs | TradeoffsDecisionCriteriaOptions | ExperimentsGrowthAnalyticsValidation |