
that fosters deeper insight and lasting transformation within
individuals and organizations.
What is Double-Loop Learning?
Introduced by organizational theorist Chris Argyris, double-loop
learning is a cognitive process that extends beyond correcting
immediate errors (single-loop learning). In single-loop learning,
individuals or organizations identify a problem and adjust their
actions to fix it — without questioning the underlying assumptions
that caused the issue in the first place.
Double-loop learning, by contrast, digs deeper. It involves examining
the values, policies, and mental models that guide decisions. When
outcomes don’t align with expectations, the learner doesn’t just change
the action — they question why that action was chosen, and whether
the assumptions behind it are still valid. This reflective process leads
to more innovative, adaptive, and sustainable solutions.
Single-Loop vs. Double-Loop Learning
Feature Single-Loop Learning Double-Loop Learning Focus
Actions and outcomes Underlying assumptions Response to errors
Adjust behavior Reflect and change strategy Learning depth
Surface-level Transformational Mindset Fixed Growth-oriented
In a world where yesterday’s solutions can become today’s problems,
single-loop learning alone is no longer enough. Double-loop learning