
this powerful learning model works and how it can elevate workforce capability in the
age of complexity.
What Is Double-Loop Learning?
Coined by organizational theorist Chris Argyris, double-loop learning is a learning
process where individuals, teams, or organizations question and revise the underlying
assumptions behind their actions, not just the actions themselves.
● Single-loop learning asks: Are we doing things right?
● Double-loop learning asks: Are we doing the right things?
For example, a sales team may notice a drop in performance. In a single-loop response,
they might try new sales techniques or ramp up activity. In a double-loop approach, they
would go deeper and examine if their sales assumptions are outdated—perhaps
customers now value long-term partnerships over quick transactions.
By integrating double-loop learning into training strategies, organizations empower
employees to challenge the status quo, leading to more thoughtful, creative, and
adaptive solutions.
The Thinking Workforce: A Strategic Imperative
The modern workforce must do more than execute tasks—they must solve problems,
innovate, and adapt in real time. As automation and AI handle repetitive work, the
human edge lies in cognition, judgment, and learning agility. A thinking workforce:
● Questions the rationale behind processes.
● Adapts to new information quickly.
● Learns from failures at a systems level.
● Contributes to continuous improvement.
However, these capabilities do not arise from traditional top-down training. They require
a deeper, more reflective approach to learning—precisely what double-loop learning
cultivates.