Cynefin and Sense-Making in the Digital World
summary
Explains how the Cynefin framework decides responses to digital transformation problems with concrete practices: use portfolio of safe‑to‑fail probes (including naive and conflicting probes), prefer runbooks and automation for obvious incidents, and use experts for complicated problems; describes probing, amplifying and dampening actions and moving work to move parts from complex to complicated. Calls out a research claim that ~60% of firms claiming AI show no signs of it and stresses experiments must be safe to fail.
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chapters (11)
- 0:00Start
- 2:27CHANGE IS CONSTANT
- 7:20CHALLENGES
- 10:51UNDERSTANDING THE CONTEXT
- 14:33CYNEFIN TO THE RESCUE
- 14:54Best practice Make use of procedures
- 16:19Make use of expert judgement
- 26:42EXAMPLES
- 31:33Avoid conflict by knowing where you are Understand the uncertainty levels Avoid the illusions of causality and predictability Differentiate between predictability and dispositic Avoid estimations becoming promises
- 33:58CONTINUOUS INCREMENTAL IMPROVEMENT
- 34:50PORTFOLID OF PROBES FORO
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