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
Process Mapping method illustration showing its working structure
Operations
Process Mapping
Paper illustration for Theory of Constraints.
Operations
Theory of Constraints
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.With a confusing workflow that has many handoffs, the method makes the actual process visible. It shows where work is passed on, delayed, or duplicated, so improvement targets the right spots.For a system that does not get faster despite effort, the method directs attention to the bottleneck. It concentrates improvement on the point that actually limits throughput.
Complexitydifferent
HighMediumHigh
Timedifferent
30-90 min Setup, danach laufend1-3 h2-4 h Analyse, laufend
Participantsdifferent
1-83-103-12
Formatdifferent
Workshop + asyncWorkshopWorkshop + async
Outputdifferent
Forecast Percentiles, Throughput Dataset, Risk CommunicationProcess Map, Handoff List, Improvement BacklogConstraint Map, Improvement Plan, Flow Metrics
Tagsno overlap
ForecastingFlowDelivery
ProcessOperationsImprovement
OperationsConstraintsFlowImprovement
Add more methods

Often compared together

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

Paper illustration of a review with planned work, actual event sequence, comparison, and assigned improvement actions.
Operations
After-Action Review
Paper illustration for Bottleneck Analysis.
Operations
Bottleneck Analysis
Gemba Walk workspace showing the question, observations, and next decision.
Operations
Gemba Walk