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| Criterion | ![]() Engineering Failure Scenario Analysis | ![]() Growth A/B Testing | ![]() Product Discovery Learning Card | ![]() 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. | 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. | The Learning Card connects traceable test results to a reasoned next action while keeping the limits of the insight visible. | 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 | High | Low | Low |
Timedifferent | 1-3 h | 1-4 Wochen | 25-40 min | 30-60 min |
Participantsdifferent | 3-8 | 1-6 | 1-5 | 1-5 |
Formatdifferent | Workshop | Async | Workshop + async | Workshop + async |
Outputdifferent | Failure Scenarios, Risk Notes, Control Gaps, Test and Response Actions | Experiment results, Decision log, Learning summary | Learning Card with evidence and next action | Completed Experiment Canvas, Success Metric |
Tagsno overlap | FailureResilienceRisk | ExperimentsGrowthAnalyticsValidation | ExperimentsValidationDiscoveryLearning | ExperimentsValidationDiscoveryHypothesis |



