A SkillsCast for this session is not available.
For millennia, human beings have survived by learning, then applying our learning to different contexts. You're so good at it that you've driven to find those patterns, even when they don’t exist. Your desire for the predictable suffuses everything we do; your beliefs, our behaviour and even your identity. From cognitive bias to the metaphors that underlie our language, you create constructs of words and imagination that keep you from innovating… and yet, they’re the same constructs that help you move forward in uncertainty. Without them, you’d be unable to make decisions at all!
YOU MAY ALSO LIKE:
- Value Streams are Made of People (SkillsCast recorded in October 2019)
- Microservices Architecture with Jorge Ortiz‑Fuentes (Online Course on 19th - 21st April 2021)
- Domain Models in Practice with Marco Heimeshoff (Online Course on 10th - 14th May 2021)
- μCon: The Microservices eXchange (Online Conference on 13th - 14th April 2021)
- Domain Modelling in a Remote World (SkillsCast recorded in March 2021)
- Rust from a Frontend Perspective (SkillsCast recorded in February 2021)
Cognitive Cynefin with Liz Keogh
Liz Keogh is a Lean and Agile consultant based in London. She is a well-known blogger and international speaker, a core member of the BDD community and a contributor to a number of open-source projects including JBehave. She specializes in helping people use examples and stories to communicate, build, test and deliver value, particularly when faced with high risk and uncertainty.
Liz's work covers topics as diverse as story-writing, haiku poetry, Cynefin and complexity thinking, effective personal feedback and OO development, and she has a particular love of people, language, and choices. She has a strong technical background with over 20 years’ experience in delivering value and coaching others to deliver, from small start-ups to global enterprises. Most of her work now focuses on Lean, Agile and organizational transformations, and the use of transparency, positive language, well-formed outcomes and safe-to-fail experiments in making change innovative, easy and fun.