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
Paper illustration of DIBB with its method-specific working model.
Product Strategy
DIBB
A/B Testing workspace showing the question, observations, and next decision.
Growth
A/B Testing
Paper illustration of Leverage Points with its method-specific working model.
Systems Thinking
Leverage Points
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.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.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.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.
Complexitydifferent
HighLowHighHigh
Timedifferent
1-5 Tage1-2 h1-4 WochenHalf day
Participantsdifferent
4-122-81-63-12
Formatdifferent
Workshop + asyncWorkshop + asyncAsyncWorkshop
Outputdifferent
Logic Model, Change Objectives, Intervention Components, Evaluation PlanDIBB document, Belief list, Bet list, Learning reportExperiment results, Decision log, Learning summaryLeverage Map, Action Strategy
Tagsno overlap
ChangeSystems thinkingCapability
StrategyDecisionAssumptionsHypothesis
ExperimentsGrowthAnalyticsValidation
Systems thinkingChangeStrategy
Add more methods