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| Criterion |  Operations Change Analysis |  Growth Funnel Analysis |  Operations Failure Mode and Effects Analysis |  Operations Fault Tree 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. | 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. | 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. |
Complexitydifferent | Medium | Medium | High | High |
Timedifferent | 45-120 min | 1-3 h | 2-6 h | 2-6 h |
Participantsdifferent | 2-6 | 1-5 | 3-10 | 3-8 |
Formatdifferent | Workshop + async | Async | Workshop | Workshop + async |
Outputdifferent | Change Matrix, Cause Hypotheses, Validation Questions, Action List | Funnel report, Drop-off analysis, Optimization hypotheses | FMEA Table, Risk Priority, Mitigation Actions | Fault Tree, Critical Paths, Cause Hypotheses, Control Actions |
Tagsno overlap | ChangeRoot causeTroubleshootingComparison | AnalyticsConversionGrowth | RiskQualityOperationsRoot cause | RiskRoot causeSafety |