Single Loop Learning
A way of solving problems that applies preset methods to correct errors inside the existing process, avoiding reconsideration of the underlying goals, rules, or assumptions even when feedback or experience suggests change.
Key Points
- Focuses on fixing deviations using current policies, tools, and procedures.
- Does not question or revise the underlying goals, assumptions, or rules.
- Efficient for routine, well-understood issues where speed is important.
- Can mask root causes and hinder improvement when conditions or requirements change.
Example
After several escaped defects, a Scrum team adds extra steps to its existing test checklist and reassigns tasks to hit the next sprint goal, but it does not examine whether the definition of done, coding standards, or architecture should be updated. They correct errors within the current approach rather than rethinking the approach itself.
PMP Example Question
During retrospectives, a team adds more checks to the current workflow to address recurring issues but avoids discussing whether the workflow or policies should change. What type of learning is occurring?
- Single Loop Learning
- Double Loop Learning
- Root cause analysis leading to process redesign
- Exploratory experimentation
Correct Answer: A — sticking to preset methods without questioning them
Explanation: The team is correcting errors within existing rules and methods, not reevaluating the rules or assumptions themselves, which is characteristic of single loop learning.
