
Coined by organizational theorist Chris Argyris, double-loop learning is a model that
extends beyond traditional learning methods by not only correcting errors but also
questioning and adjusting the underlying beliefs, assumptions, and policies that led to
those errors.
● Single-loop learning is like a thermostat adjusting the temperature: if it’s too
cold, it turns up the heat. It reacts to feedback but never questions why the
temperature needs to be at a certain level.
● Double-loop learning, on the other hand, prompts reflection: Why is this the
desired temperature? Who decided this? What if a different range was more
efficient or comfortable?
In a corporate context, this means empowering employees to not only correct mistakes
but also challenge the root causes—strategies, processes, or mental models—that
contribute to recurring issues.
Why a Thinking Workforce Matters
Organizations that foster a thinking workforce gain a distinct competitive advantage. A
thinking workforce:
● Solves complex problems more efficiently
● Adapts quickly to change
● Questions outdated practices and suggests improvements
● Innovates with purpose, not just process
● Engages more deeply with company goals and values
Double-loop learning plays a central role in developing such a workforce by
transforming passive learners into reflective, proactive thinkers.
How Double-Loop Learning Works in Practice
Here’s how double-loop learning can be embedded into workplace training and
culture: