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| Criterion | ![]() Operations Change Analysis | ![]() Growth Flywheel | ![]() Operations Barrier Analysis | ![]() Operations Causal Factor 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. | 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. | For a risk that can only be managed through multiple layers of protection, the method examines the effectiveness of each barrier. It shows where safeguards are missing, too weak, or fail under real conditions. | For an event with a complicated course, the method breaks down the contributing factors along the timeline. It shows how conditions, decisions, and reactions together produce a course of events. |
Complexitydifferent | Medium | Medium | Medium | High |
Timedifferent | 45-120 min | 60-120 min | 2-4 h | 2-6 h |
Participantsdifferent | 2-6 | 3-8 | 2-6 | 3-10 |
Formatdifferent | Workshop + async | Workshop | Workshop + async | Workshop + async |
Outputdifferent | Change Matrix, Cause Hypotheses, Validation Questions, Action List | Flywheel Map, Friction Points, Growth Levers, Experiment Backlog | Barrier Inventory, Failure Analysis per Barrier, Action Backlog | Event Timeline, Causal Factor Chart, Cause List, Corrective Actions |
Tagsno overlap | ChangeRoot causeTroubleshootingComparison | GrowthRetentionConversion | Root causeSafetyIncident | CausalityIncidentRoot causeTimeline |



