Get the opportunity to grow your influence by giving your products or services prime exposure with Performance Magazine.

If you are interested in advertising with Performance Magazine, leave your address below.

Advertise with us
Free Webinar

What is the difference between single-loop and double-loop learning?


Single-loop and double-loop learning

Single-loop and double-loop learning are two different types of learning that can be used by any organization in order to adapt and improve its overall performance. The first one refers to constantly adjusting actions until desired results are achieved and double-loop learning implies questioning the fundamental assumptions.

The main differences between them are the following:

  • Single-loop learning is used when the current goals, values and strategies are sound, not questionable and the emphasis is on techniques and their effectiveness. On the other hand, double-loop learning is used when strategy is reviewed and the emphasis is on learning and reviewing previous situations;
  • Regarding the decision making process, in single-loop learning the organizational structure is accepted, the emphasis being on fixing unwanted variances, while in the double-loop learning, assumptions and speculations are questioned in order to raise the decision-making process efficacy;
  • Errors that can be detected and acted upon by organizational members engaged in single-loop learning, while maintaining the basic structure. In the double-loop learning, after identifying errors, the organizational rules, policies and objectives are reexamined and modified.


Image source:

5 trends in the USA Federal Performance Management
Expert Interview – Isela Hernandez, Strategy Management Officer, Cinepolis Corporativo, Mexico

Tags: ,


The KPI Institute’s 2024 Agenda is now available! |  The latest updates from The KPI Institute |  Thriving testimonials from our clients |