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Criterion
Paper illustration for Intervention Mapping.
Systems Thinking
Intervention Mapping
Paper illustration for Soft Systems Methodology.
Systems Thinking
Soft Systems Methodology
A/B Testing workspace showing the question, observations, and next decision.
Growth
A/B Testing
Paper illustration of Experiment Canvas with a method-specific labelled workspace.
Product Discovery
Experiment Canvas
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.Soft Systems Methodology helps explore unclear or politically charged problems systematically. Instead of forcing a quick answer, the method builds a shared understanding of perspectives and room for action.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.When experiments become unreadable after the fact, it arranges hypothesis, signal, and learning goal on a single canvas. It separates problem, assumption, solution, and evidence. The result is captured as a Completed Experiment Canvas and a Success Metric.
Complexitydifferent
HighHighHighLow
Timedifferent
1-5 Tage0.5-3 Tage1-4 Wochen30-60 min
Participantsdifferent
4-125-151-61-5
Formatdifferent
Workshop + asyncWorkshopAsyncWorkshop + async
Outputdifferent
Logic Model, Change Objectives, Intervention Components, Evaluation PlanRich Picture, Root Definitions, Conceptual Models, Change AgendaExperiment results, Decision log, Learning summaryCompleted Experiment Canvas, Success Metric
Tagsno overlap
ChangeSystems thinkingCapability
Soft systemsComplexitySensemakingSystems thinking
ExperimentsGrowthAnalyticsValidation
ExperimentsValidationDiscoveryHypothesis
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