Training is one of the most common responses to performance problems. It is also one of the most frequently misapplied. Research in human performance, operations, and organizational psychology consistently shows that skill gaps explain only a portion of performance issues. Process design, role clarity, tooling, feedback loops, and decision authority account for much more.

When training is applied to a system problem, people may leave with new knowledge but return to unchanged conditions. They may not leave with any new knowledge at all and instead feel patronized and demotivated.

Either way, misapplied training solutions result in work that still flows the same way. Expectations remain fuzzy. Constraints and bottlenecks haven’t been addressed or corrected. Over time, leaders conclude the training “did not stick,” when in reality it was never supported by the system required to use it.

This pattern is well documented in performance improvement literature, including in Thomas Gilbert’s Behavior Engineering Model, Carl Binder’s Six Boxes Model, and decades of research on transfer of training. Skills decay quickly when people cannot apply them consistently in real work. Training does not fail because people resist learning. It fails because the environment makes application impractical or impossible, or because skills were never deficient in the first place.

Before approving another course or workshop, the more responsible move is to examine how the work is structured and supported. Only through finding the root cause of a problem can you begin to solve it.

Kate Graham

Principal, Humaneering Performance

A reliable way to distinguish between training needs and system failures is to observe what happens after clear instruction is given. If people understand what is expected yet outcomes still vary widely, the issue is rarely knowledge. It is usually friction in the workflow, missing resources, conflicting priorities, or unclear expectations and feedback.

Studies on operational reliability show that high performers rely on stable processes more than exceptional individual capability. Anyone can become a high performer with the right support. When experienced employees struggle in the same places as new ones, training is unlikely to be the lever that moves performance.

Training becomes appropriate when people genuinely lack the ability to perform a defined task under reasonable conditions and with adequate support. When conditions themselves create failure, improvement requires redesign, not instruction.

Before approving training, pause and answer two questions:

If “done well” is hard to describe, or failures are scattered and inconsistent, start with the system. If expectations are clear and breakdowns are specific and repeatable, training may be the right lever.

This short pause alone prevents many unnecessary training investments.

Where have I asked my team to work harder instead of improving the way the work actually functions?