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| Criterion |  Growth Hooked Model |  Product Strategy DIBB |  Growth Flywheel |  Decision Making Force Field Analysis |
|---|---|---|---|---|
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. | DIBB helps clarify target groups, value, goals, and priorities by making the logic behind a decision explicit. It captures results as a DIBB document, belief list, bet list, and learning report. | 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. | In change initiatives, supporting and restraining forces sit at the table at the same time. Force Field Analysis makes these tensions explicit and shows where change can be pushed forward by strengthening or relieving. |
Complexitydifferent | Medium | Low | Medium | Low |
Timedifferent | Multiple workshops over several weeks | 1-2 h | 60-120 min | 45-90 min |
Participantsdifferent | 2-8 | 2-8 | 3-8 | 3-12 |
Formatdifferent | Workshop + async | Workshop + async | Workshop | Workshop |
Outputdifferent | Hooked loop, Trigger map, Reward design, Ethics check | DIBB document, Belief list, Bet list, Learning report | Flywheel Map, Friction Points, Growth Levers, Experiment Backlog | Force Field Map, Change Levers, Risk Notes |
Tagsno overlap | GrowthBehaviorRetention | StrategyDecisionAssumptionsHypothesis | GrowthRetentionConversion | ChangeDecisionStrategy |