TrueCX

Tag: learning

  • What is the Kirkpatrick Model? A Practical Guide for Contact Center Training

    What is the Kirkpatrick Model? A Practical Guide for Contact Center Training

    Most contact centers believe their training is effective, but how many actually measure it?

    We might evaluate completion—agents complete onboarding, pass quizzes, get certified—but are we measuring true readiness? Once agents hit the floor, are they confident and ready to take difficult calls? 

    This gap isn’t solved by more training, but rather with an understanding of what kind of training (and what kind of measurement) actually translates into real performance improvement and readiness. 

    When used intelligently, that’s what the Kirkpatrick Model is designed to do.

    What Is the Kirkpatrick Model?

    The Kirkpatrick Model has been around since the 1950s and is one of the most widely-used frameworks for evaluating the effectiveness of training programs. 

    It breaks down learning into four levels:

    • Reaction: Did agents enjoy the training?
    • Learning: Did they understand the material?
    • Behavior: Did they apply the training on the job?
    • Results: Did the training drive business outcomes?

    It’s a simple and intuitive model, but easy to misapply, especially in fast-paced environments like contact centers. 

    How the Kirkpatrick Model is Applied in Contact Centers

    Level 1: Reaction

    In a contact center, Level 1 of the Kirkpatrick Model is usually evaluated through post-training surveys that ask agents to report their experience of a given training program. Questions like “Was this helpful?” or “Do you feel confident with your knowledge of this subject?” help evaluate whether or not agents were engaged during training. 

    But positive feedback doesn’t always predict performance. An agent can enjoy and actively participate during training and still struggle tremendously on live calls.

    Level 2: Learning

    Level 2 evaluates whether or not agents understand the material provided during a training session. Most contact centers evaluate Level 2 through knowledge checks, certifications, exams, and role plays. 

    At this stage, most agents can repeat and regurgitate the right information—but knowing what to do isn’t the same as doing it when the situation strikes. Level 2 is where most training programs begin to break down. 

    Level 3: Behavior

    Level 3 of the Kirkpatrick Model assesses whether agents are applying what they learned during real interactions. In a contact center, this includes behaviors like proper objection handling, tool navigation, and soft skill demonstration.

    Have you ever had an agent ace training but struggle and lose their cool on the floor? If training isn’t converting to real behavior change, that is a symptom that something has gone wrong between Level 2 and Level 3.

    Level 4: Results

    Level 4 asks whether agent behavior is actually driving business outcomes. This level is what operational leadership ultimately cares about because it encompasses core business metrics like:

    • Average handle time (AHT)
    • First call resolution (FCR)
    • Conversion rate and revenue
    • Customer satisfaction (CSAT/NPS)
    • Renewals and churn

    These results are downstream from Behavior (Level 3), which needs to be led by strong and well-proven Reaction (Level 1) and Learning (Level 2) results.

    If you can’t clearly see or influence your Level 3 behaviors, then Level 4 becomes highly difficult to diagnose or fix. 

    Where Most Contact Centers Get Stuck

    Here’s what the gap between Level 2 and Level 3 of the Kirkpatrick Model looks like:

    • An agent knows their script but forgets it during an intense call
    • An agent passes onboarding with flying colors but escalates too many calls
    • An agent knows your product inside and out but struggles with objections
    • An agent sounds confident during roleplays but freezes under pressure

    By the time this gap is identified, underperformance has already impacted the customer experience—and the agent experience, too. 

    A Better Way to Think About the Kirkpatrick Model

    The Kirkpatrick Model is often treated as an evaluation framework, when it’s really a design framework. The best training programs don’t start from content, but rather with Level 4: the business outcomes they want to drive. Then trainers work backward to understand how each Level has to operate in order to support those outcomes. 

    Ask yourself:

    • Level 4: What business outcomes are we trying to drive?
    • Level 3: Which agent behaviors lead to those outcomes?
    • Level 2: What do agents need to know and practice in order to confidently and consistently perform those behaviors?
    • Level 1: How should agents best learn that material?

    Let’s stop assuming that training completion means agents are ready, and start looking at the downstream performance metrics that matter. 

    Why Effective Training Matters More Than Ever

    AI and automation have not just raised the bar for human agents, but built an entirely new ladder. When routine interactions are increasingly handled by AI tools and self service, the conversations left for human agents become the hardest and most nuanced.

    There’s less room for error, and training matters more than ever. Learning design has to adapt alongside this new call mix; static certifications and scripted roleplays simply won’t prepare agents for the reality of being on the floor, and that gap between Levels 2 and 3 risks eating away at your bottom line. 

    Tools like TrueCX enable your agents to practice common scenarios and edge cases alike with Intelligent Virtual Customers (IVCs) that sound, respond, and object like your real customers. This not only lets agents get their sea legs on the phone, but lets you measure behavior change (Level 3) before real customers are at risk. 

    The Kirkpatrick Model has been around for decades, and its core tenets remain highly relevant and practical. The challenge is applying it consistently, thoughtfully, and with an attention to failures between Levels. 

    Those gaps may be your greatest training obstacles, but they’re also your greatest opportunities for growth and real results. 

  • How AI is Turning L&D Into a Business-Critical Function

    How AI is Turning L&D Into a Business-Critical Function

    For the past few years, conversations about AI in contact centers have brought with them a lot of anxiety. Will AI replace jobs? De-skill teams? Will it turn L&D into something cold or automated?

    The short answer? No.

    At TrueCX, our opinion is that AI will enable contact center teams to do more. And for L&D, that change can mean clearer impact, more compelling data, and a better seat at the table.

    Here are the top five ways that AI is turning L&D into a business-critical function in 2026: 

    1. AI Has Transitioned From Experiment to Infrastructure

    For a lot of contact centers, AI is no longer something to pilot or try out: it’s part of how work gets done each and every day. 

    Teams are using AI to move faster, do more with less, and extract insights, patterns, and actions from mountains of call data.  

    The conversation, in turn, is shifting from “AI hype” to grounded practicalities. Leaders aren’t chasing the next big thing; they’re looking for tools that help their teams do better work without burning out. 

    Among the L&D leaders I speak to, AI is being viewed more and more as a potential support system rather than a threat. 

    2. As AI Automates Routine Tasks, Soft Skills Become a Major Differentiator

    One of the clearest themes I’ve picked up on in conversation with L&D leaders is that AI has definitively not made human skills any less important. 

    In fact, it’s made them more important. And more visible. 

    When routine and straightforward tasks are automated, what remains are the high-stakes moments that are harder to script: handling a frustrated customer, navigating an emotional call, or de-escalating a bad experience. 

    Empathy, active listening, creativity. These are the skills that separate average performers from top agents, and they can’t be automated. 

    L&D is the key here. The table stakes conversations will be automated by AI, and L&D will have the critical task of making sure the conversations that remain are handled by excellent agents with a strong grasp of strong skills. Training is more important than ever. 

    3. Traditional Training Doesn’t Work

    The other side of the token in #2 is that traditional training will no longer cut it. 

    Onboarding that teaches agents the answers to frequently asked questions and then sends them to the call center floor doesn’t match the reality of what they’ll actually face on the phones.  

    In a contact center environment increasingly shaped by AI, training has to invest in agent confidence and soft skills just as much, or even more, than the product and compliance information they’ll need to know. 

    TrueCX can help with that by providing Intelligent Virtual Customers (IVCs) so your agents can refine their soft skills in a failure-free, true-to-life environment. 

    4. Readiness is the Metric That Matters

    As a result of this shifting landscape, many L&D leaders are rethinking what they measure.

    Instead of checking for completion (who finished a program or course), leaders are looking for readiness (can this agent actually handle the moments that matter?). 

    This shift changes everything about how learning programs are designed and evaluated. 

    Measuring readiness requires visibility: knowing which skills are strong, which need work, and how agents are progressing over time. AI makes this possible at a scale that wasn’t realistic before, turning onboarding data into a business-critical metric. 

    5. AI Turns Training Into a Dynamic, Scalable System

    One of the most powerful changes I’ve discussed with L&D leaders is the ability for AI to turn training into something continuous, personalized, and measurable.

    Instead of one-size-fits-all programs, AI makes customized training scalable and lets agents practice real scenarios that mirror their day-to-day and suit their particular skill gap. Agents receive timely and tailored feedback, and L&D leaders can see patterns and address gaps with relevant data about performance. 

    With AI, L&D teams no longer have to choose between resource-intensive, bespoke training or ineffective blanket programs. Personalized training can scale with your team and meet every agent where they are to help them build readiness and confidence. 

    And with trustworthy measurement, L&D teams can easily spot high performers, agents in need, and major skill gaps early in the training cycle. This allows for better segmentation and a more informed approach, as well as the ability to better track and show improvement over time. 

    L&D as a Strategic Partner

    All of these AI trends are reshaping the role of L&D. When learning teams can draw a clearer line between training, readiness, and performance, their work becomes visible in new ways, and they can actively influence business outcomes.

    AI doesn’t replace L&D teams; it gives them a seat at the table. 

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