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| Criterion | ![]() Delivery RAID Log | ![]() UX Research Empathy Mapping | ![]() 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 lot is assumed about a target group but little is seen jointly, empathy mapping makes knowledge and gaps directly comparable. The picture also shows which assumptions hold up and where evidence is missing. | 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 | Low | Low | High |
Timedifferent | 30 min Setup, dann laufend | 30–60 min | 1-5 Tage | 1-4 Wochen |
Participantsdifferent | 1-3 maintaining, briefing for everyone | 4-8 | Nutzertraffic | 1-6 |
Formatdifferent | Async | Workshop | Async | Async |
Outputdifferent | RAID Log, Status Report Source | Empathy Map, Assumptions List, Research Gaps | Interest Metrics, Conversion Signal, Learning Note | Experiment results, Decision log, Learning summary |
Tagsno overlap | RiskTrackingStakeholdersGovernance | SynthesisQualitativeWorkshop | ValidationExperimentsDemandGrowth | ExperimentsGrowthAnalyticsValidation |



