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Criterion
Paper illustration of Leverage Points with its method-specific working model.
Systems Thinking
Leverage Points
A/B Testing workspace showing the question, observations, and next decision.
Growth
A/B Testing
Paper illustration for OODA Loop.
Decision Making
OODA Loop
Growth Experiment workspace showing the question, observations, and next decision.
Growth
Growth Experiment
Purposedifferent
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conditions and separates real improvement from chance or expectation effects.In dynamic situations, decisions become outdated faster than they can be prepared.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 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
HighHighMediumMedium
Timedifferent
Half day1-4 Wochen15-60 min je Zyklus1-2 Wochen
Participantsdifferent
3-121-61-81-6
Formatdifferent
WorkshopAsyncWorkshop + asyncWorkshop + async
Outputdifferent
Leverage Map, Action StrategyExperiment results, Decision log, Learning summarySituation Assessment, Decision Loop, Action UpdatesExperiment card, Result summary, Next bet
Tagsno overlap
Systems thinkingChangeStrategy
ExperimentsGrowthAnalyticsValidation
DecisionChangeLearningStrategy
MarketingGrowthExperimentsLearning
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