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
Decision Tree method illustration showing its working structure
Decision Making
Decision Tree
Paper illustration for Current Reality Tree
Systems Thinking
Current Reality Tree
Causal Loop Diagram workspace showing the question, observations, and next decision.
Systems Thinking
Causal Loop Diagram
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.For decisions with follow-on paths and dependencies, a linear comparison is often not enough. A Decision Tree shows how options branch under conditions and which consequences hang on each branch.A Current Reality Tree condenses many symptoms into a few causal chains. The method makes visible which core problems drive several negative effects at once.A Causal Loop Diagram makes feedback, reinforcement, and balance in a system legible. It uncovers side effects and self-reinforcement that stay hidden in linear explanations.
Complexitydifferent
HighMediumHighMedium
Timedifferent
1-5 Tage30-90 min2-6 h1-3 h
Participantsdifferent
4-121-63-82-8
Formatdifferent
Workshop + asyncWorkshop + asyncWorkshopWorkshop
Outputdifferent
Logic Model, Change Objectives, Intervention Components, Evaluation PlanDecision Tree, Option Map, Assumption ListCurrent Reality Tree, Core Problems, Intervention IdeasCausal Loop Diagram, Feedback Notes, Leverage Points
Tagsno overlap
ChangeSystems thinkingCapability
DecisionTreeOptions
Systems thinkingRoot causeConstraintsCausality
FeedbackSystems thinkingCausalityDynamics
Add more methods