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| Criterion |  Engineering Failure Scenario Analysis |  Delivery RAID Log |  Growth A/B Testing |  Product Discovery Experiment Canvas |
|---|---|---|---|---|
Purposedifferent | In critical processes, it is not enough to plan only for the normal case. Failure Scenario Analysis looks at the path into failure and shows which failures, chains, and control gaps cause the most damage. | 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 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 | Medium | Low | High | Low |
Timedifferent | 1-3 h | 30 min Setup, dann laufend | 1-4 Wochen | 30-60 min |
Participantsdifferent | 3-8 | 1-3 maintaining, briefing for everyone | 1-6 | 1-5 |
Formatdifferent | Workshop | Async | Async | Workshop + async |
Outputdifferent | Failure Scenarios, Risk Notes, Control Gaps, Test and Response Actions | RAID Log, Status Report Source | Experiment results, Decision log, Learning summary | Completed Experiment Canvas, Success Metric |
Tagsno overlap | FailureResilienceRisk | RiskTrackingStakeholdersGovernance | ExperimentsGrowthAnalyticsValidation | ExperimentsValidationDiscoveryHypothesis |