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| Criterion |  Operations Change Analysis |  Engineering Fault Isolation |  Growth Flywheel |  Growth Funnel 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. | In technical failures, the visible symptom often gets mixed up with the actual cause. Fault Isolation narrows the fault space and progressively reduces which part of the system is truly affected. | Growth often breaks down where a reinforcing mechanism builds up too much friction. A Flywheel shows the cycle of value, repetition, and reinforcement meant to sustain growth. | 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. |
Complexitysame | Medium | Medium | Medium | Medium |
Timedifferent | 45-120 min | 30-180 min | 60-120 min | 1-3 h |
Participantsdifferent | 2-6 | 1-6 | 3-8 | 1-5 |
Formatdifferent | Workshop + async | Workshop + async | Workshop | Async |
Outputdifferent | Change Matrix, Cause Hypotheses, Validation Questions, Action List | Fault Isolation Map, Test Log, Excluded Hypotheses, Narrowed Fault Area | Flywheel Map, Friction Points, Growth Levers, Experiment Backlog | Funnel report, Drop-off analysis, Optimization hypotheses |
Tagsno overlap | ChangeRoot causeTroubleshootingComparison | TroubleshootingDiagnosisEngineering | GrowthRetentionConversion | AnalyticsConversionGrowth |