Learning More from Complex Systems

This course explores how to learn from incidents in complex systems, questioning whether linear analysis and root-cause analysis are sufficient. It draws on history, science, philosophy, and resiliency in nature to propose different approaches to understanding system behavior.

Syllabus

Intro
LEARNING FROM COMPLEX SYSTEMS
Main takeaways
whoami
Linear Models of Delivery
Evolution to autonomous teams
Mindset shift
Traditional Incident Management
The Post-mortem
Is there a better way?
Management of work
Knowledge and Understanding (Linear Analysis and Systems Thinking)
Where linear analysis breaks down
Characteristics of Complex Systems Philosophy and sciences can agree that
How can we learn better?
Resiliency in nature
Conditions for Resiliency