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| Criterion |  Growth A/B Testing |  Operations 5 Whys |  Innovation Design Sprint |  Operations A3 Problem Solving |
|---|---|---|---|---|
Purposedifferent | 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. | For a single, hard-to-explain deviation, the method exposes the causal chain behind the visible symptom. It keeps the cause open until a controllable condition emerges instead of a mere description. | When the product question is unclear and time pressure is high, the method takes a team from an open idea to a testable solution. It connects problem understanding, decision, and learning in one compact format, lowering the risk of spending a lot of energy on a mere guess. | For a complex deviation with several people involved, the method bundles problem, analysis, and decision onto one page. It creates a shared working space where causes, countermeasures, and follow-up fit together. |
Complexitydifferent | High | Low | High | Medium |
Timedifferent | 1-4 Wochen | 15-30 min | 4-5 Tage | 45-90 min |
Participantsdifferent | 1-6 | 2-6 | 5-8 | 2-5 |
Formatdifferent | Async | Workshop | Workshop | Workshop + async |
Outputdifferent | Experiment results, Decision log, Learning summary | Root cause notes, Countermeasures | Prototype, Test Findings, Decision Rationale | A3 Report, Action Plan, Root Cause Analysis |
Tagsno overlap | ExperimentsGrowthAnalyticsValidation | Root causeIncidentLeanProblem solving | Design sprintPrototypeValidationInnovation | LeanProblem solvingCoachingOperations |