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| Criterion |  Growth Hooked Model |  Growth Flywheel |  Facilitation Dot Voting |  Product Strategy ICE Scoring |
|---|---|---|---|---|
Purposedifferent | 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. | 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 a workshop has produced too many options and the group needs to condense quickly, dot voting makes preferences visible in a short time. It bundles individual votes into a solid signal for the next selection. | When ideas need sorting quickly, it condenses impact, confidence, and effort into one compact score. It connects customer value, product logic, and decision priorities. The result is captured as an ICE table and top-ideas list. |
Complexitydifferent | Medium | Medium | Low | Low |
Timedifferent | Multiple workshops over several weeks | 60-120 min | 5-15 min | 30-60 min |
Participantsdifferent | 2-8 | 3-8 | 3-20 | 2-8 |
Formatdifferent | Workshop + async | Workshop | Workshop | Workshop + async |
Outputdifferent | Hooked loop, Trigger map, Reward design, Ethics check | Flywheel Map, Friction Points, Growth Levers, Experiment Backlog | Ranked list, Consensus signal, Shortlist | ICE Table, Top Idea List |
Tagsno overlap | GrowthBehaviorRetention | GrowthRetentionConversion | FacilitationVotingConsensusPrioritization | PrioritizationScoringGrowthDecision |