WHEN PERFORMANCE IS BUILT ON MEMORIZATION, IT BECOMES FRAGILE, THUS MAKING IT RELIABLE ONLY UNDER PREDICT- ABLE CONDITIONS.
This phenomenon aligns with what research in this article,“ Training Transfer: An Integrative Literature Review” by Lisa A. Burke and Holly M. Hutchins in Human Resource Development Review, identified as the“ transfer problem.” This is where training fails to translate into sustained workplace performance.
THE GAP BETWEEN KNOWLEDGE AND EXECUTION
Traditional contact center training models are designed to transfer information. They ensure agents can recall procedures and follow workflows. However, real performance is defined by how effectively agents respond in dynamic, real-time interactions.
On average, I listen to 100-plus calls a month across industries, and one truth I can count on is every customer interaction introduces variability from emotion to complexity. These moments require decision-making, not memorization.
Our research on training effectiveness emphasizes that success depends on learning transfer, which is the ability to apply knowledge on the job.
Yet this remains one of the most persistent gaps in organizational performance, reports the CDC. When performance is built on memorization, it becomes fragile, thus making it reliable only under predictable conditions.
WHERE PERFORMANCE BEGINS TO BREAK DOWN
This reliance on scripted knowledge leads to consistent breakdown patterns. Customer experiences( CXs) vary widely.
As an industry, we have seen an increase in escalations as agents defer decisions. Agent confidence has also declined, particularly in ambiguous situations. And operational efficiency suffers as interactions take longer to resolve.
These outcomes are typically not from a lack of effort or willingness to do a good job. Instead, they reflect a system that has not prepared agents to operate independently in dynamic environments.
THE EMERGING ROLE OF AI: INFORMATION WITHOUT JUDGMENT
As organizations look to address these gaps, many are turning to AI as a solution. AI-powered tools can now surface answers in real time, guide agents through workflows, and in some cases provide coaching directly to our teams.
This can be a meaningful advancement. AI can effectively eliminate the knowledge retrieval problem by putting the right information in front of agents at the right moment. However, this is where a critical distinction emerges. AI can provide information, but it cannot replace judgment.
When agents are presented with AI-generated guidance, they must still interpret the situations, decide how to apply that information, and adapt it to the specific customer contexts. In fast-moving interactions, this requires situational awareness and critical thinking, which comes through experience.
Without these human-provided capabilities, AI risks becoming just another script to be followed rigidly in some cases, ignored in others, and inconsistently applied overall. The real opportunity, therefore, is not just to equip agents with AI tools, but to train them in how to use them effectively.
As an industry, our real focus should be on helping agents interpret AI recommendations in context and understanding when to follow the guidance and when to adapt. In this sense, AI is amplifying the need for more development for our teams.
A LEADERSHIP LENS ON PERFORMANCE SUSTAINABILITY
From a leadership perspective, a critical question emerges: If supervisors stepped away, would performance remain consistent?
If performance depends on constant oversight, it is being sustained. However, it is not truly embedded into the performance of the contact center. Organizations that scale effectively do so by strengthening decision-making capability and avoiding increased supervision.
Performance happens in real time, often under pressure. Research shows that under time constraints, individuals shift to simplified decision strategies, which
AGENT PERFORMANCE
can impact outcomes. Also, cognitive load further affects how effectively people process and act on information in complex situations.
Without the ability to manage these dynamics, even well-trained individuals struggle to execute consistently.
WHEN PERFORMANCE IS BUILT ON MEMORIZATION, IT BECOMES FRAGILE, THUS MAKING IT RELIABLE ONLY UNDER PREDICT- ABLE CONDITIONS.
THE SHIFT TO CAPABILITY- BASED DEVELOPMENT
High-performing organizations are increasingly shifting their focus from simple knowledge transfer to true capability development, emphasizing how agents think rather than just what they know.
This approach prioritizes building key competencies such as judgment, which at its core is the ability to make the right decisions within context. The top-performing agents are those who act decisively while skillfully navigating the unexpected.
I was reminded of the power of these capabilities recently while traveling. As I scanned my boarding pass at the airport, a flight attendant greeted me with,“ Oh Mrs. Vance, today is your 30-year flyingwith-us anniversary. Thank you for your loyalty, and I’ m going to send you a gift.”
The“ gift” came in the way of 2,500 flying miles added to my account. Now, anyone who flies knows this doesn’ t get a person very far— maybe a free snack— but the sentiment meant more to me.
There was no script for that moment. It required judgment and the confidence to personalize the interaction in real time. It was a small gesture, but it transformed a routine transaction into a memorable experience demonstrating exactly what capability-driven performance looks like.
When these capabilities are fully developed, performance becomes more consistent and less reliant on direct supervision. AUGUST 2026 15