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| Criterion | ![]() Operations Fishbone Diagram | ![]() Growth Hooked Model | ![]() Growth A/B Testing | ![]() Operations Failure Mode and Effects Analysis |
|---|---|---|---|---|
Purposedifferent | When a problem has several possible contributing factors, the method sorts causes by cause areas. It prevents an initial hunch from blocking the view of other plausible drivers. | The Hooked Model helps clarify engagement loops, user behavior, and experiments. It makes repeat behavior measurable and captures the result as a hooked loop, trigger map, and reward design. | 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 process, product, or service with noticeable failure risks, the method assesses possible failure modes in advance. It directs attention to combinations of occurrence, effect, and detectability. |
Complexitydifferent | Low | Medium | High | High |
Timedifferent | 30-60 min | Multiple workshops over several weeks | 1-4 Wochen | 2-6 h |
Participantsdifferent | 2-8 | 2-8 | 1-6 | 3-10 |
Formatdifferent | Workshop | Workshop + async | Async | Workshop |
Outputdifferent | Fishbone Diagram, Cause Categories, Investigation Backlog | Hooked loop, Trigger map, Reward design, Ethics check | Experiment results, Decision log, Learning summary | FMEA Table, Risk Priority, Mitigation Actions |
Tagsno overlap | Root causeQualityOperations | GrowthBehaviorRetention | ExperimentsGrowthAnalyticsValidation | RiskQualityOperationsRoot cause |



