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| Criterion | ![]() Engineering Goal Question Metric | ![]() Growth Flywheel | ![]() Growth Funnel Analysis | ![]() Growth A/B Testing |
|---|---|---|---|---|
Purposedifferent | Helps clarify technical problems, hypotheses, and next steps in concrete terms. It breaks a technical problem into testable parts. The result is captured as a GQM table and metric briefs. | 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. | 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. |
Complexitydifferent | Medium | Medium | Medium | High |
Timedifferent | 90-180 min | 60-120 min | 1-3 h | 1-4 Wochen |
Participantsdifferent | 3-6 | 3-8 | 1-5 | 1-6 |
Formatdifferent | Workshop | Workshop | Async | Async |
Outputdifferent | GQM Table, Metric Profiles | Flywheel Map, Friction Points, Growth Levers, Experiment Backlog | Funnel report, Drop-off analysis, Optimization hypotheses | Experiment results, Decision log, Learning summary |
Tagsno overlap | MetricsMeasurementEngineeringAlignment | GrowthRetentionConversion | AnalyticsConversionGrowth | ExperimentsGrowthAnalyticsValidation |



