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 of a Polarity Map with two poles and four quadrants
Systems Thinking
Polarity Mapping
Paper illustration for Intervention Mapping.
Systems Thinking
Intervention Mapping
Paper illustration for Trade-off Analysis.
Decision Making
Trade-off Analysis
Purposedifferent
Polarity Mapping makes tensions between two opposing poles tangible, such as standardization and adaptation or control and autonomy. The method guards against making apparent either-or decisions prematurely.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.With limited resources, quality, speed, cost, and risk almost always compete with each other. Trade-off Analysis makes these tensions explicit and prevents decisions from producing hidden side effects.
Complexitydifferent
MediumHighMedium
Timedifferent
1-2 h1-5 Tage45-120 min
Participantsdifferent
3-124-122-8
Formatdifferent
WorkshopWorkshop + asyncWorkshop + async
Outputdifferent
Polarity Map, Warning Signs, Balance ActionsLogic Model, Change Objectives, Intervention Components, Evaluation PlanTrade-off Matrix, Criteria List, Decision Rationale, Accepted Downsides
Tagsno overlap
Systems thinkingTradeoffsLeadership
ChangeSystems thinkingCapability
TradeoffsDecisionCriteriaOptions
Add more methods

Often compared together

Methods with strong topical overlap with the current selection, not yet in the comparison.

Paper illustration of a decision table with criteria rows, weighted ratings, and a narrowly leading alternative.
Decision Making
Decision Matrix
Paper illustration for Constraint Analysis.
Decision Making
Constraint Analysis
Paper illustration for Decision Framing Workshop.
Decision Making
Decision Framing Workshop
Decision Tree method illustration showing its working structure
Decision Making
Decision Tree