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 for Smoke Test.
Product Discovery
Smoke Test
Paper illustration of a calm four-quadrant Assumption Map with hypothesis cards and emphasis on important assumptions with little evidence.
Product Discovery
Assumption Mapping
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 demand only needs to be roughly verified, it tests interest with minimal effort. It measures whether people would take a next step at all.When assumptions still sit unordered in the room, it weighs uncertainty against leverage. It makes visible which hypotheses should be checked first.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
HighLowMediumHigh
Timedifferent
1-5 Tage1-5 Tage45-60 min1-4 Wochen
Participantsdifferent
4-12Nutzertraffic2-81-6
Formatdifferent
Workshop + asyncAsyncWorkshop + asyncAsync
Outputdifferent
Logic Model, Change Objectives, Intervention Components, Evaluation PlanInterest Metrics, Conversion Signal, Learning NoteAssumption map, Test backlog, Risk rankingExperiment results, Decision log, Learning summary
Tagsno overlap
ChangeSystems thinkingCapability
ValidationExperimentsDemandGrowth
AssumptionsRiskExperimentsValidation
ExperimentsGrowthAnalyticsValidation
Add more methods