View methods side by side.
Choose up to four methods. Add them using the search and share the comparison by copying its link.
| Criterion | ![]() Engineering Failure Scenario Analysis | ![]() Growth A/B Testing | ![]() Product Discovery Experiment Canvas | ![]() Product Discovery Test Card |
|---|---|---|---|---|
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. | 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. | The Test Card turns a critical assumption into a testable claim and specifies in advance which result counts as success. |
Complexitydifferent | Medium | High | Low | Low |
Timedifferent | 1-3 h | 1-4 Wochen | 30-60 min | 20-35 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 | Completed Experiment Canvas, Success Metric | Test Card with a pre-set threshold |
Tagsno overlap | FailureResilienceRisk | ExperimentsGrowthAnalyticsValidation | ExperimentsValidationDiscoveryHypothesis | ExperimentsValidationDiscoveryHypothesis |



