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| Criterion | ![]() Growth Flywheel | ![]() Operations A3 Problem Solving | ![]() Growth A/B Testing | ![]() Operations 5 Whys |
|---|---|---|---|---|
Purposedifferent | 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 complex deviation with several people involved, the method bundles problem, analysis, and decision onto one page. It creates a shared working space where causes, countermeasures, and follow-up fit together. | 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 single, hard-to-explain deviation, the method exposes the causal chain behind the visible symptom. It keeps the cause open until a controllable condition emerges instead of a mere description. |
Complexitydifferent | Medium | Medium | High | Low |
Timedifferent | 60-120 min | 45-90 min | 1-4 Wochen | 15-30 min |
Participantsdifferent | 3-8 | 2-5 | 1-6 | 2-6 |
Formatdifferent | Workshop | Workshop + async | Async | Workshop |
Outputdifferent | Flywheel Map, Friction Points, Growth Levers, Experiment Backlog | A3 Report, Action Plan, Root Cause Analysis | Experiment results, Decision log, Learning summary | Root cause notes, Countermeasures |
Tagsno overlap | GrowthRetentionConversion | LeanProblem solvingCoachingOperations | ExperimentsGrowthAnalyticsValidation | Root causeIncidentLeanProblem solving |



