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| Criterion |  Decision Making Pre-Mortem |  UX Research Surveys |  Product Discovery Assumption Mapping |  Growth A/B Testing |
|---|---|---|---|---|
Purposedifferent | 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 a topic needs to be validated broadly and many people can answer the same question, surveys gather structured feedback in a scalable form. Answers become comparable and segmentable instead of remaining merely anecdotal. | When assumptions still sit unordered in the room, it weighs uncertainty against leverage. It makes visible which hypotheses should be checked first. | 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 | Low | Medium | Medium | High |
Timedifferent | 20–45 min | 3-14 Tage | 45-60 min | 1-4 Wochen |
Participantsdifferent | Small cross-functional group | 50+ | 2-8 | 1-6 |
Formatdifferent | Workshop | Async | Workshop + async | Async |
Outputdifferent | Risk list, Mitigation plan, Assumption log | Survey Results, Charts, Segment Insights | Assumption map, Test backlog, Risk ranking | Experiment results, Decision log, Learning summary |
Tagsno overlap | RiskDecisionFailurePlanning | QuantitativeResearchValidation | AssumptionsRiskExperimentsValidation | ExperimentsGrowthAnalyticsValidation |