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| Criterion |  Delivery RAID Log |  UX Research Personas |  Growth A/B Testing |  Product Discovery Experiment Canvas |
|---|---|---|---|---|
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 target groups stay too vague and teams talk about the same people differently, personas create a shared, solid picture of usage. Condensed profiles make needs, contexts, and differences tangible enough for decisions. | 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 experiments become unreadable after the fact, it arranges hypothesis, signal, and learning goal on a single canvas. It separates problem, assumption, solution, and evidence. The result is captured as a Completed Experiment Canvas and a Success Metric. |
Complexitydifferent | Low | Medium | High | Low |
Timedifferent | 30 min Setup, dann laufend | 1-3 Tage | 1-4 Wochen | 30-60 min |
Participantsdifferent | 1-3 maintaining, briefing for everyone | Internes Team | 1-6 | 1-5 |
Formatdifferent | Async | Workshop + async | Async | Workshop + async |
Outputdifferent | RAID Log, Status Report Source | Persona Profiles, Needs Summary, Scenario Notes | Experiment results, Decision log, Learning summary | Completed Experiment Canvas, Success Metric |
Tagsno overlap | RiskTrackingStakeholdersGovernance | ResearchCustomerSynthesis | ExperimentsGrowthAnalyticsValidation | ExperimentsValidationDiscoveryHypothesis |