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Criterion
Paper timeline with three dates, parallel lanes for work, signals and decisions, and labeled links.
Facilitation
Timeline
Paper illustration for PDCA Cycle.
Operations
PDCA Cycle
Paper illustration for Monte Carlo Forecasting.
Delivery
Monte Carlo Forecasting
Purposedifferent
When a project, incident, or change process is only remembered in fragments, Timeline brings the sequence back into a readable form. It makes turning points, precursors, and after-effects recognizable over the course of time.For an improvement that still has to prove itself in everyday work, the method runs it through small learning loops. It connects planning, checking, and standardization into a repeatable learning mode.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
LowLowHigh
Timedifferent
30-90 min1 h bis mehrere Wochen30-90 min Setup, danach laufend
Participantsdifferent
2-121-81-8
Formatsame
Workshop + asyncWorkshop + asyncWorkshop + async
Outputdifferent
Timeline, Milestones, Insight NotesPDCA Log, Experiment Plan, Learning Outcome, Standard ChangeForecast Percentiles, Throughput Dataset, Risk Communication
Tagsno overlap
TimelineFacilitationSequence
Continuous improvementLeanExperiments
ForecastingFlowDelivery
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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
Paper illustration for Kaizen Event.
Operations
Kaizen Event