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 Leverage Points with its method-specific working model.
Systems Thinking
Leverage Points
Anonymous individual judgments pass through feedback loops to form a distribution.
Decision Making
Delphi Method
A/B Testing workspace showing the question, observations, and next decision.
Growth
A/B Testing
Paper illustration for OODA Loop.
Decision Making
OODA Loop
Purposedifferent
Leverage Points show exactly where interventions in a system produce a disproportionate effect. It draws relationships, patterns, and feedback loops. The result is captured as a leverage map and action strategy.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.When two variants compete, discussions quickly decide by taste rather than effect. A/B Testing checks behavior under controlled conditions and separates real improvement from chance or expectation effects.In dynamic situations, decisions become outdated faster than they can be prepared. The OODA Loop holds observing, orienting, deciding, and acting together as a recurring rhythm so reaction does not slide into inertia.
Complexitydifferent
HighHighHighMedium
Timedifferent
Half day1-4 Wochen1-4 Wochen15-60 min je Zyklus
Participantsdifferent
3-126-30 Experten1-61-8
Formatdifferent
WorkshopAsyncAsyncWorkshop + async
Outputdifferent
Leverage Map, Action StrategyExpert Forecast, Consensus Range, Assumption NotesExperiment results, Decision log, Learning summarySituation Assessment, Decision Loop, Action Updates
Tagsno overlap
Systems thinkingChangeStrategy
ForecastingExpertsDecisionStrategy
ExperimentsGrowthAnalyticsValidation
DecisionChangeLearningStrategy
Add more methods