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| Criterion | ![]() Engineering Failure Scenario Analysis | ![]() Systems Thinking Future Reality Tree | ![]() Growth A/B Testing | ![]() Product Discovery Smoke Test |
|---|---|---|---|---|
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. | A Future Reality Tree shows how desired actions are meant to lead to a better system state. The method checks whether a path of change holds together logically before time flows into implementation. | 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 demand only needs to be roughly verified, it tests interest with minimal effort. It measures whether people would take a next step at all. |
Complexitydifferent | Medium | High | High | Low |
Timedifferent | 1-3 h | 2-4 h | 1-4 Wochen | 1-5 Tage |
Participantsdifferent | 3-8 | 3-8 | 1-6 | Nutzertraffic |
Formatdifferent | Workshop | Workshop | Async | Async |
Outputdifferent | Failure Scenarios, Risk Notes, Control Gaps, Test and Response Actions | Future Reality Tree, Negative Branches, Assumption List, Improved Injections | Experiment results, Decision log, Learning summary | Interest Metrics, Conversion Signal, Learning Note |
Tagsno overlap | FailureResilienceRisk | Theory of ConstraintsSystems thinkingChange | ExperimentsGrowthAnalyticsValidation | ValidationExperimentsDemandGrowth |



