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 Monte Carlo Forecasting.
Delivery
Monte Carlo Forecasting
Systems Mapping method illustration showing its working structure
Systems Thinking
Systems Mapping
Paper illustration for OODA Loop.
Decision Making
OODA Loop
Paper illustration of Leverage Points with its method-specific working model.
Systems Thinking
Leverage Points
Purposedifferent
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.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overview stabilizes the overall picture before detail work or steering begins.In dynamic situations, decisions become outdated faster than they can be prepared.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.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.
Complexitydifferent
HighMediumMediumHigh
Timedifferent
30-90 min Setup, danach laufend1-3 h15-60 min je ZyklusHalf day
Participantsdifferent
1-83-121-83-12
Formatdifferent
Workshop + asyncWorkshop + asyncWorkshop + asyncWorkshop
Outputdifferent
Forecast Percentiles, Throughput Dataset, Risk CommunicationSystem Map, Dependencies, Leverage PointsSituation Assessment, Decision Loop, Action UpdatesLeverage Map, Action Strategy
Tagsno overlap
ForecastingFlowDelivery
Systems thinkingMappingBoundariesChange
DecisionChangeLearningStrategy
Systems thinkingChangeStrategy
Add more methods