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
Anonymous individual judgments pass through feedback loops to form a distribution.
Decision Making
Delphi Method
Paper illustration of DIBB with its method-specific working model.
Product Strategy
DIBB
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
When knowledge is distributed and direct dominance should be avoided, groups quickly fall under the sway of their opinion leaders. The Delphi Method gathers assessments iteratively and gradually brings expert judgments closer together.DIBB helps clarify target groups, value, goals, and priorities by making the logic behind a decision explicit. It captures results as a DIBB document, belief list, bet list, and learning report.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
HighLowHighMedium
Timedifferent
1-4 Wochen1-2 h2-6 h1-3 h
Participantsdifferent
6-30 Experten2-83-82-8
Formatdifferent
AsyncWorkshop + asyncWorkshopWorkshop
Outputdifferent
Expert Forecast, Consensus Range, Assumption NotesDIBB document, Belief list, Bet list, Learning reportCurrent Reality Tree, Core Problems, Intervention IdeasCausal Loop Diagram, Feedback Notes, Leverage Points
Tagsno overlap
ForecastingExpertsDecisionStrategy
StrategyDecisionAssumptionsHypothesis
Systems thinkingRoot causeConstraintsCausality
FeedbackSystems thinkingCausalityDynamics
Add more methods