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| Criterion |  Growth Funnel Analysis |  Decision Making Constraint Analysis |  Decision Making Pre-Mortem |  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 an initiative stalls, the limit often lies not in the idea but in hard or soft boundary conditions. Constraint Analysis separates these limits and shows which of them can actually be shaped. | In early initiatives with many uncertainties, planning quickly turns too optimistic. A pre-mortem makes the expected failure visible in advance and sharpens the view of causes, gaps, and countermeasures. | 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 | Low | Low | High |
Timedifferent | 1-3 h | 30-90 min | 20–45 min | 1-4 Wochen |
Participantsdifferent | 1-5 | 2-8 | Small cross-functional group | 1-6 |
Formatdifferent | Async | Workshop + async | Workshop | Async |
Outputdifferent | Funnel report, Drop-off analysis, Optimization hypotheses | Constraint List, Hard/Soft Classification, Option Impact Notes, Decision Boundaries | Risk list, Mitigation plan, Assumption log | Experiment results, Decision log, Learning summary |
Tagsno overlap | AnalyticsConversionGrowth | ConstraintsDecisionPlanningOptions | RiskDecisionFailurePlanning | ExperimentsGrowthAnalyticsValidation |