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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 Root Cause Analysis.
Operations
Root Cause Analysis
Paper illustration for Root Cause Tree Analysis
Operations
Root Cause Tree Analysis
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.When a problem keeps recurring and the cause stays unclear, the method exposes the underlying mechanism. It separates symptom, guess, and robust explanation from one another.For a problem with several suspected causes, the method builds a causal structure instead of a mere list. It makes visible how causes connect and where the strongest points of leverage lie.
Complexitydifferent
HighMediumMediumMedium
Timedifferent
1-5 Tage30-90 min1-4 h1-3 h
Participantsdifferent
4-121-63-82-8
Formatdifferent
Workshop + asyncWorkshop + asyncWorkshop + asyncWorkshop
Outputdifferent
Logic Model, Change Objectives, Intervention Components, Evaluation PlanDecision Tree, Option Map, Assumption ListProblem Statement, Cause Hypotheses, Confirmed Causes, Action PlanCause Tree, Evidence Notes, Countermeasures
Tagsno overlap
ChangeSystems thinkingCapability
DecisionTreeOptions
Root causeProblem solvingQualityIncident
Root causeTreeIncidentQuality
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