The Liberators Network

Organizational Learning; Why Single-Loop Learning Isn't Enough In Scrum

November 13, 2020 The Liberators
The Liberators Network
Organizational Learning; Why Single-Loop Learning Isn't Enough In Scrum
Chapters
The Liberators Network
Organizational Learning; Why Single-Loop Learning Isn't Enough In Scrum
Nov 13, 2020
The Liberators

At its core, Scrum is a framework for learning. But learning is hard when what you learn remains superficial and never challenges existing rules and beliefs.

In this episode, we talk about the foundational work by theorist Chris Argyris on organizational learning. He developed a model for organizational learning that distinguishes between single- and double-loop learning. Where single-loop learning concerns itself with correcting mistakes in the actions that you take, double-loop learning takes it several steps deeper and challenges why you're even taking those actions.

In our own work, we recognize that Scrum doesn't work when there is only single-loop learning. For example, many Scrum Teams struggle to find the best way to estimate their work and experiment with story points, t-shirt sizing, or functional points. But the deeper question is; why are we estimating work that we know is inherently unpredictable? What existing beliefs are making us estimate our work, that we should revisit and change?

The Liberating Structure "Myth Turning" is all about double-loop learning:
http://bit.ly/2JOmr9P

We developed a deck of Powerful Questions to help you challenge existing beliefs:
https://bit.ly/3o6HaaS

Support the show (https://bit.ly/supportheliberators)

Show Notes

At its core, Scrum is a framework for learning. But learning is hard when what you learn remains superficial and never challenges existing rules and beliefs.

In this episode, we talk about the foundational work by theorist Chris Argyris on organizational learning. He developed a model for organizational learning that distinguishes between single- and double-loop learning. Where single-loop learning concerns itself with correcting mistakes in the actions that you take, double-loop learning takes it several steps deeper and challenges why you're even taking those actions.

In our own work, we recognize that Scrum doesn't work when there is only single-loop learning. For example, many Scrum Teams struggle to find the best way to estimate their work and experiment with story points, t-shirt sizing, or functional points. But the deeper question is; why are we estimating work that we know is inherently unpredictable? What existing beliefs are making us estimate our work, that we should revisit and change?

The Liberating Structure "Myth Turning" is all about double-loop learning:
http://bit.ly/2JOmr9P

We developed a deck of Powerful Questions to help you challenge existing beliefs:
https://bit.ly/3o6HaaS

Support the show (https://bit.ly/supportheliberators)