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| Criterion |  Delivery RAID Log |  UX Research Surveys |  Product Discovery Smoke Test |  Growth A/B Testing |
|---|---|---|---|---|
Purposedifferent | Helps clarify scope, sequence, and delivery flow in concrete terms. It makes work, boundaries, and order steerable. The result is captured as a RAID Log and a source for status reporting. | 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 demand only needs to be roughly verified, it tests interest with minimal effort. It measures whether people would take a next step at all. | 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 | Low | High |
Timedifferent | 30 min Setup, dann laufend | 3-14 Tage | 1-5 Tage | 1-4 Wochen |
Participantsdifferent | 1-3 maintaining, briefing for everyone | 50+ | Nutzertraffic | 1-6 |
Formatsame | Async | Async | Async | Async |
Outputdifferent | RAID Log, Status Report Source | Survey Results, Charts, Segment Insights | Interest Metrics, Conversion Signal, Learning Note | Experiment results, Decision log, Learning summary |
Tagsno overlap | RiskTrackingStakeholdersGovernance | QuantitativeResearchValidation | ValidationExperimentsDemandGrowth | ExperimentsGrowthAnalyticsValidation |