View methods side by side.
Choose up to four methods. Add them using the search and share the comparison by copying its link.
| Criterion | ![]() Growth Hooked Model | ![]() Growth Flywheel | ![]() Decision Making OODA Loop | ![]() Decision Making Delphi Method |
|---|---|---|---|---|
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. | In dynamic situations, decisions become outdated faster than they can be prepared. The OODA Loop holds observing, orienting, deciding, and acting together as a recurring rhythm so reaction does not slide into inertia. | When knowledge is distributed and direct dominance should be avoided, groups quickly fall under the sway of their opinion leaders. The Delphi Method gathers assessments iteratively and gradually brings expert judgments closer together. |
Complexitydifferent | Medium | Medium | Medium | High |
Timedifferent | Multiple workshops over several weeks | 60-120 min | 15-60 min je Zyklus | 1-4 Wochen |
Participantsdifferent | 2-8 | 3-8 | 1-8 | 6-30 Experten |
Formatdifferent | Workshop + async | Workshop | Workshop + async | Async |
Outputdifferent | Hooked loop, Trigger map, Reward design, Ethics check | Flywheel Map, Friction Points, Growth Levers, Experiment Backlog | Situation Assessment, Decision Loop, Action Updates | Expert Forecast, Consensus Range, Assumption Notes |
Tagsno overlap | GrowthBehaviorRetention | GrowthRetentionConversion | DecisionChangeLearningStrategy | ForecastingExpertsDecisionStrategy |



