Education

Learning and Transfer: How to Change Employee Behavior

The Completion Trap

The sales team completes a new interview course, and everyone passes the quiz. Three months later, the sales manager pulls up the call recordings and finds the team conversing in exactly the same way as before. I’ve noticed that this situation plays out across industries, and it points to the disparity in L&D teams that often meet between learning completion and knwoeldge transfer: the metrics organizations track and the results they want to measure are two different things.

Completion tells you that someone has reached the end of the course. Passing points tell you that they can get information soon after. And it doesn’t tell you that that information becomes part of how it works once the subject has disappeared from view. Changing behavior at work happens later, away from the LMS, in cases where the lessons can only be prepared for the person, sitting just out of their sight.

Completion metrics dominate for a simple reason: they’re easy to find. The LMS records a completed course as it occurs. Data transfer works differently. A change in the results of a call or a direct observation by a manager takes a real effort to follow up after a few weeks, an effort that many teams find difficult to prioritize everything else on their plate. Completion ends up being a sticky number, even though it answers the wrong question.

Learning and Transferring Are Different Events

Organizational psychologists Timothy Baldwin and Kevin Ford have created one of the most cited frameworks in the field. Their review divided the study results into two categories. The first is to learn what happens during the session; the second is transferability—whether that learning is applicable to the workplace and long-term. Their research showed transfer depends on three forces working together: the characteristics of the trainees, the design of the training, and the workplace to which the individual returns afterwards.

Of these three aspects, the workplace is often the easiest to underestimate because it sits outside the course itself. A learner can leave a lesson having understood the material, and return to the workshop with little signposting or implementation support. If the manager never reinforces the new behavior, if the performance target continues to reward the old one, or if the employees do not have a safe opportunity to practice, the lesson begins to lose its effect when the work resumes. Old habits automatically win because the environment keeps reinforcing them.

A high pass rate ensures that the class phase is effective. It doesn’t say much about whether the new talent survives the trip back to the desk, and that second stage is where the business results live.

The Missing Ingredient: A Concrete Plan for Making Time

Baldwin and Ford explain why transfers succeed or fail from a training system perspective. However, that raises another question. Even in a supportive environment, what exactly helps an employee choose professional behavior instead of reverting to old habits when the moment comes? The second list of studies speaks directly to that point.

Psychologist Peter Gollwitzer and researcher Paschal Sheeran conducted a meta-analysis that included 94 independent studies on what they called initiation intentions. The key difference is that implementation goals limit the number of decisions employees have to make right now. Instead of finding a way to respond under pressure, the response is already mentally integrated into the physical situation.

Their analysis found that these programs produced a medium to large impact on goal attainment. The if-then system makes the cue easily visible in real time and links it directly to the intended response, so behavior is ignited with very little deliberate effort.

For L&D teams, this reveals a design gap that most training programs share. Courses teach concepts and skills, and then send students back to their jobs with the broader goal of applying what they’ve learned, a goal that quickly fades compared to a full inbox and a bunch of deadlines. A tangible program then, tied to a brand the reader will encounter, gives behavior change a real shot at sticking.

Work Case

While working with a medium-sized transportation company redesigning its onboarding customer service, the original program measured success with a certification test at the end of the first week. New hires passed 94%. The escalation data told a different story: new reps sent calls to managers at nearly three times the rate of reps within six months of tenure.

The redesign retained the certificate but added a closing function built directly from that incremental data. The team released call records from the previous quarter and identified several cases that resulted in significant escalations, disputed shipping delays or payment discrepancies that did not have a clear resolution process. Each new hire chose scenarios such as an assigned account and wrote if-then plans against them before completing the course. Managers took the series during the first week’s regular check-in, going one-on-one against that week’s actual call.

Upgrade rates for the redesigned group dropped by about 40% within the first month. The training content remains the same. What changed was to offer new employers a specific program that fits the specific circumstances that lead them back to old habits.

The case illustrates a broader principle. In the first week, most new hires already have enough knowledge to pass the written test. A difficult gap to bridge is the bridge that connects that information when a live call begins to explore it.

What This Means for Training Design

There are two factors that determine whether the training survives the contact with the work: whether the environment reinforces it, and whether the worker carries a clear plan during the important time. Closing that gap takes a few practical steps.

  • Turn the last ten minutes of the lesson into planning time.
    Ask each student to write two or three plans that are relevant to the situations they will face in the workplace, rather than taking the general approach. A customer service representative who takes a lesson in de-escalation might write, “If a customer raises their voice, I’ll lower mine and repeat their concerns before responding.” That one sentence turns the concept of training into something tangible enough to remember mid-call.
  • Environmental map before course ship.
    Management support, on-the-job references, and practice opportunities to see if learning survives the first week past, before the content itself. Check in advance if the employee’s manager will refer to the training in the first two weeks. Skipping that step usually means that the stock runs out quickly after the first day.
  • Track one transfer metric closer to completion.
    Choose a measure that is already visible in daily operations—increase rate, error rate, or time to resolution—and review it after 30 and 90 days. Measuring the same behavior over time reveals whether the learning actually survives beyond the course itself.
  • Involve managers in reinforcement, without authorization only.
    A short entry where a manager refers to an employee’s schedule makes more of a permanent change than another module. A two-minute question during one-on-one interaction, asking if a particular program would have worked on a recent tough call, keeps training alive long after certification is issued.

The show sets the stage, but what happens during a busy shift, when an impatient customer is standing at the counter, is when the real test begins. Designing that tracking, rather than stopping at a certificate, is what separates a seemingly successful course from one that actually succeeds.

References

  • Baldwin, TT, and JK Ford. 1988. “Transfer of training: A review and directions for future research.” Personnel Psychology 41 (1): 63–105.
  • Gollwitzer, PM, and P. Sheeran. 2006. “Usage goals and goal achievement: A meta-analysis of outcomes and processes.” Advances in Experimental Social Psychology 38:69–119.

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