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| Criterion |  Agile Planning Poker |  Growth Flywheel |  Growth A/B Testing |  Agile Affinity Estimation |
|---|---|---|---|---|
Purposedifferent | When estimates within the team diverge too much, it puts differing expectations on a common test bench. It separates rough complexity from unspoken assumptions. | 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 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. | When many tasks need to be classified quickly, it sorts them by perceived effort and similarity. It reduces the effort of fine-grained estimation for large volumes. |
Complexitydifferent | Low | Medium | High | Medium |
Timedifferent | 2-5 min je Item | 60-120 min | 1-4 Wochen | 30-90 min |
Participantsdifferent | 3-9 | 3-8 | 1-6 | 3-12 |
Formatdifferent | Workshop + async | Workshop | Async | Workshop |
Outputdifferent | Relative Estimates, Assumption Notes, Split Candidates | Flywheel Map, Friction Points, Growth Levers, Experiment Backlog | Experiment results, Decision log, Learning summary | Affinity Size Map, Grouped Estimates, Unclear Items |
Tagsno overlap | EstimationAgileRelative sizingTeam | GrowthRetentionConversion | ExperimentsGrowthAnalyticsValidation | EstimationBacklogRelative sizing |