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| Criterion |  Operations Change Analysis |  Operations Fault Tree Analysis |  Growth Funnel Analysis |  Operations Failure Mode and Effects Analysis |
|---|---|---|---|---|
Purposedifferent | For a deviation after a change, the method isolates the influence of the altered condition. It narrows down which differences are relevant and which are just accompanying noise. | For a critical top event with several possible triggers, the method logically models failure paths. It makes visible which combinations of conditions can lead to damage. | When many visitors or users drop off along the way, the reason behind the number often stays hidden. Funnel Analysis exposes these transitions and makes visible exactly where the path collapses. | 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 | Medium | High | Medium | High |
Timedifferent | 45-120 min | 2-6 h | 1-3 h | 2-6 h |
Participantsdifferent | 2-6 | 3-8 | 1-5 | 3-10 |
Formatdifferent | Workshop + async | Workshop + async | Async | Workshop |
Outputdifferent | Change Matrix, Cause Hypotheses, Validation Questions, Action List | Fault Tree, Critical Paths, Cause Hypotheses, Control Actions | Funnel report, Drop-off analysis, Optimization hypotheses | FMEA Table, Risk Priority, Mitigation Actions |
Tagsno overlap | ChangeRoot causeTroubleshootingComparison | RiskRoot causeSafety | AnalyticsConversionGrowth | RiskQualityOperationsRoot cause |