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
Systems Mapping method illustration showing its working structure
Systems Thinking
Systems Mapping
Paper illustration for Monte Carlo Forecasting.
Delivery
Monte Carlo Forecasting
Paper illustration for Future Reality Tree.
Systems Thinking
Future Reality Tree
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.Systems Mapping arranges elements, relationships, and boundaries so a complex field becomes legible at a glance. The overview stabilizes the overall picture before detail work or steering begins.Helps clarify scope, sequence, and delivery flow in concrete terms. It makes work, boundaries, and order steerable. The result is captured as Forecast Percentiles, Throughput Dataset, and Risk Communication.A Future Reality Tree shows how desired actions are meant to lead to a better system state. The method checks whether a path of change holds together logically before time flows into implementation.
Complexitydifferent
HighMediumHighHigh
Timedifferent
1-5 Tage1-3 h30-90 min Setup, danach laufend2-4 h
Participantsdifferent
4-123-121-83-8
Formatdifferent
Workshop + asyncWorkshop + asyncWorkshop + asyncWorkshop
Outputdifferent
Logic Model, Change Objectives, Intervention Components, Evaluation PlanSystem Map, Dependencies, Leverage PointsForecast Percentiles, Throughput Dataset, Risk CommunicationFuture Reality Tree, Negative Branches, Assumption List, Improved Injections
Tagsno overlap
ChangeSystems thinkingCapability
Systems thinkingMappingBoundariesChange
ForecastingFlowDelivery
Theory of ConstraintsSystems thinkingChange
Add more methods