View methods side by side.
Choose up to four methods. Add them using the search and share the comparison by copying its link.
| Criterion |  Product Strategy DIBB |  Decision Making OODA Loop |  Growth A/B Testing |  Growth Growth Experiment |
|---|---|---|---|---|
Purposedifferent | 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. | In dynamic situations, decisions become outdated faster than they can be prepared.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 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 growth ideas surface quickly, the temptation to build immediately instead of learning is high. A Growth Experiment frames an assumption so target group, lever, and measurement are clear before the first deployment. |
Complexitydifferent | Low | Medium | High | Medium |
Timedifferent | 1-2 h | 15-60 min je Zyklus | 1-4 Wochen | 1-2 Wochen |
Participantsdifferent | 2-8 | 1-8 | 1-6 | 1-6 |
Formatdifferent | Workshop + async | Workshop + async | Async | Workshop + async |
Outputdifferent | DIBB document, Belief list, Bet list, Learning report | Situation Assessment, Decision Loop, Action Updates | Experiment results, Decision log, Learning summary | Experiment card, Result summary, Next bet |
Tagsno overlap | StrategyDecisionAssumptionsHypothesis | DecisionChangeLearningStrategy | ExperimentsGrowthAnalyticsValidation | MarketingGrowthExperimentsLearning |