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Criterion
Story Splitting method illustration showing its working structure
Agile
Story Splitting
Value Stream Mapping workspace showing the question, observations, and next decision.
Delivery
Value Stream Mapping
Paper illustration of MORT Analysis with its method-specific working model.
Operations
MORT Analysis
Paper illustration for Causal Factor Analysis.
Operations
Causal Factor Analysis
Purposedifferent
When a story becomes too large for a clean flow, it breaks scope down along value and risk. It shapes the work into a form that ships earlier and is easier to verify.When delivery work dissolves into wait times, handoffs, and hidden effort, Value Stream Mapping makes the actual flow visible. The method exposes bottlenecks, idle time, and feedback loops so lead time and improvement levers become tangible.For a safety-relevant event or a system with high protection requirements, the method examines where controls failed. It exposes both technical and organizational gaps.For an event with a complicated course, the method breaks down the contributing factors along the timeline. It shows how conditions, decisions, and reactions together produce a course of events.
Complexitydifferent
MediumMediumHighHigh
Timedifferent
30-60 min1-3 hMehrere Tage bis Wochen2-6 h
Participantsdifferent
2-64-102-63-10
Formatdifferent
Workshop + asyncWorkshopWorkshop + asyncWorkshop + async
Outputdifferent
Smaller Stories, Acceptance Criteria, Split RationaleCurrent-state map, Future-state map, Bottleneck listMORT Worksheets, Findings per Branch, Corrective Actions, Systemic RecommendationsEvent Timeline, Causal Factor Chart, Cause List, Corrective Actions
Tagsno overlap
BacklogIterationDelivery
LeanFlowWasteDelivery
Root causeSafetySystemicIncident
CausalityIncidentRoot causeTimeline
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