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| Criterion |  Delivery RAID Log |  UX Research Affinity Diagramming |  Growth A/B Testing |  Product Discovery Smoke Test |
|---|---|---|---|---|
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 research notes, feedback, or observations sit unconnected side by side, affinity diagramming sorts the raw material into solid themes. Many individual points turn into patterns that make decisions and opportunities clearer. | 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 demand only needs to be roughly verified, it tests interest with minimal effort. It measures whether people would take a next step at all. |
Complexitydifferent | Low | Low | High | Low |
Timedifferent | 30 min Setup, dann laufend | 45–90 min | 1-4 Wochen | 1-5 Tage |
Participantsdifferent | 1-3 maintaining, briefing for everyone | 3-10 | 1-6 | Nutzertraffic |
Formatdifferent | Async | Workshop | Async | Async |
Outputdifferent | RAID Log, Status Report Source | Theme clusters, Insight statements, Opportunity areas | Experiment results, Decision log, Learning summary | Interest Metrics, Conversion Signal, Learning Note |
Tagsno overlap | RiskTrackingStakeholdersGovernance | SynthesisQualitativeRoot cause | ExperimentsGrowthAnalyticsValidation | ValidationExperimentsDemandGrowth |