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 Growth Experiment |  Systems Thinking Future Reality Tree |  Systems Thinking Leverage Points |  Growth A/B Testing |
|---|---|---|---|---|
Purposedifferent | 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. | A Future Reality Tree shows how desired actions are meant to lead to a better system state. The method checks whether a path of change holds together logically before time flows into implementation. | Leverage Points show exactly where interventions in a system produce a disproportionate effect. It draws relationships, patterns, and feedback loops. The result is captured as a leverage map and action strategy. | 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. |
Complexitydifferent | Medium | High | High | High |
Timedifferent | 1-2 Wochen | 2-4 h | Half day | 1-4 Wochen |
Participantsdifferent | 1-6 | 3-8 | 3-12 | 1-6 |
Formatdifferent | Workshop + async | Workshop | Workshop | Async |
Outputdifferent | Experiment card, Result summary, Next bet | Future Reality Tree, Negative Branches, Assumption List, Improved Injections | Leverage Map, Action Strategy | Experiment results, Decision log, Learning summary |
Tagsno overlap | MarketingGrowthExperimentsLearning | Theory of ConstraintsSystems thinkingChange | Systems thinkingChangeStrategy | ExperimentsGrowthAnalyticsValidation |