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| Criterion |  Agile Affinity Estimation |  Growth Flywheel |  Growth Hooked Model |  Agile Planning Poker |
|---|---|---|---|---|
Purposedifferent | 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. | 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. | The Hooked Model helps clarify engagement loops, user behavior, and experiments. It makes repeat behavior measurable and captures the result as a hooked loop, trigger map, and reward design. | When estimates within the team diverge too much, it puts differing expectations on a common test bench. It separates rough complexity from unspoken assumptions. |
Complexitydifferent | Medium | Medium | Medium | Low |
Timedifferent | 30-90 min | 60-120 min | Multiple workshops over several weeks | 2-5 min je Item |
Participantsdifferent | 3-12 | 3-8 | 2-8 | 3-9 |
Formatdifferent | Workshop | Workshop | Workshop + async | Workshop + async |
Outputdifferent | Affinity Size Map, Grouped Estimates, Unclear Items | Flywheel Map, Friction Points, Growth Levers, Experiment Backlog | Hooked loop, Trigger map, Reward design, Ethics check | Relative Estimates, Assumption Notes, Split Candidates |
Tagsno overlap | EstimationBacklogRelative sizing | GrowthRetentionConversion | GrowthBehaviorRetention | EstimationAgileRelative sizingTeam |