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| Criterion | ![]() Growth Funnel Analysis | ![]() Engineering Failure Scenario Analysis | ![]() Growth A/B Testing | ![]() Product Discovery Assumption Mapping |
|---|---|---|---|---|
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. | In critical processes, it is not enough to plan only for the normal case. Failure Scenario Analysis looks at the path into failure and shows which failures, chains, and control gaps cause the most damage. | 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. | When assumptions still sit unordered in the room, it weighs uncertainty against leverage. It makes visible which hypotheses should be checked first. |
Complexitydifferent | Medium | Medium | High | Medium |
Timedifferent | 1-3 h | 1-3 h | 1-4 Wochen | 45-60 min |
Participantsdifferent | 1-5 | 3-8 | 1-6 | 2-8 |
Formatdifferent | Async | Workshop | Async | Workshop + async |
Outputdifferent | Funnel report, Drop-off analysis, Optimization hypotheses | Failure Scenarios, Risk Notes, Control Gaps, Test and Response Actions | Experiment results, Decision log, Learning summary | Assumption map, Test backlog, Risk ranking |
Tagsno overlap | AnalyticsConversionGrowth | FailureResilienceRisk | ExperimentsGrowthAnalyticsValidation | AssumptionsRiskExperimentsValidation |



