methodatlas
Compare

View methods side by side.

Choose up to four methods. Add them using the search and share the comparison by copying its link.

Criterion
Paper illustration for Intervention Mapping.
Systems Thinking
Intervention Mapping
Growth Experiment workspace showing the question, observations, and next decision.
Growth
Growth Experiment
Paper illustration for Evaporating Cloud.
Systems Thinking
Evaporating Cloud
A/B Testing workspace showing the question, observations, and next decision.
Growth
A/B Testing
Purposedifferent
Intervention Mapping translates a need for change into a planned, evaluable program. The method connects target group, determinants, actions, and measurement into a traceable chain.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.The method makes visible why two seemingly incompatible demands arise and which assumption must be tested to resolve the conflict.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
HighMediumMediumHigh
Timedifferent
1-5 Tage1-2 Wochen60-120 min1-4 Wochen
Participantsdifferent
4-121-62-81-6
Formatdifferent
Workshop + asyncWorkshop + asyncWorkshopAsync
Outputdifferent
Logic Model, Change Objectives, Intervention Components, Evaluation PlanExperiment card, Result summary, Next betConflict Cloud, Assumption List, Breakthrough Ideas, Next ExperimentsExperiment results, Decision log, Learning summary
Tagsno overlap
ChangeSystems thinkingCapability
MarketingGrowthExperimentsLearning
Theory of ConstraintsAssumptionsSystems thinking
ExperimentsGrowthAnalyticsValidation
Add more methods