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 Kaizen Event.
Operations
Kaizen Event
Paper illustration for Monte Carlo Forecasting.
Delivery
Monte Carlo Forecasting
Purposedifferent
For a tightly scoped process segment with noticeable waste, the method bundles shared energy for change. It suits situations that call for fast learning loops and visible adjustments.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.
Complexitydifferent
MediumHigh
Timedifferent
0.5-5 Tage30-90 min Setup, danach laufend
Participantsdifferent
4-101-8
Formatdifferent
WorkshopWorkshop + async
Outputdifferent
Kaizen Charter, Waste List, Improvement Experiments, Standard Work UpdateForecast Percentiles, Throughput Dataset, Risk Communication
Tagsno overlap
LeanContinuous improvementOperations
ForecastingFlowDelivery
Add more methods

Often compared together

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

Value Stream Mapping workspace showing the question, observations, and next decision.
Delivery
Value Stream Mapping
A3 Problem-Solving workspace showing the question, observations, and next decision.
Operations
A3 Problem Solving
Gemba Walk workspace showing the question, observations, and next decision.
Operations
Gemba Walk