Enhancing Call Center Agent Productivity: 4 Ways AI Training Can Help

BY:  Rebecca Herson
April 16, 2024
10 MIN. READING

Table of Contents

Call center agent productivity is one of the most important goals for call center managers and executive leadership. When your agents are productive, it means that your call center can keep up with the volume of customer interactions and that customers who talk with your agents are receiving a positive customer experience. 

 

High call center agent productivity metrics are a sign of effective sales calls that drive revenue, efficient customer support provision, and rapid resolution of customer issues. Read on to discover the ways that call center agent training using AI simulations can boost productivity for call center agents. 

Understanding Call Center Agent Productivity

When it comes to call centers, productivity refers to how efficiently and effectively agents are able to handle customer interactions. This means that the key metrics focus on twin issues of speed and customer satisfaction. 

There are a number of important KPIs that call centers use to monitor and measure productivity in call centers. Here are the main call center agent productivity metrics:

  • Call handling time, meaning the time it takes an agent to resolve a customer issue. Low call handling times usually indicate higher call center agent efficiency.
  • Call volume, or the number of calls an agent deals with in a given time frame. 
  • First Call Resolution (FCR) rate, which is the percentage of customer issues that are resolved in the first interaction, so there’s no need for escalation or follow-up. 
  • Customer satisfaction (CSAT) rates, which indicate the extent to which customers feel that they received good service and support. 
  • Average Handling Time (AHT), or how long it takes an agent to deal with a customer interaction from beginning to end, including time spent on hold, talking, and following up. 
  • Utilization rate, meaning what percentage of agent work time is spent on tasks like handling calls and after-call follow-up. 

Other metrics can include sales revenue, which can reflect how effective agents are at closing deals, and employee turnover rate, which can reflect productivity and job satisfaction. 

Comprehensive AI Training Programs for Call Center Agents

It’s not always easy to influence productivity. It’s made up of a number of different elements, including agent proficiency, soft skills, and product knowledge, and more nebulous factors like agent confidence. 

That said, effective training can have a big impact on many of these contributing issues. When your agents have strong soft skills, they’ll do a better job at understanding the root issue that’s bothering customers and divining their real pain points. Comprehensive product knowledge empowers them to answer questions and troubleshoot more effectively. 

As a result, agents will require less time to resolve each call, and be able to clear up customer queries and concerns more efficiently, leading to improved customer satisfaction and increased productivity metrics. 

The Importance of Ongoing Training

Ongoing training is one of the most important issues affecting call center agent productivity. It’s the only way to be sure that your agents are always completely familiar with all the details of your product, the company’s value proposition, and your target audience’s pain points and primary concerns. Continual learning also ensures that agents comply with all the regulations that relate to your industry and geographical location.

How AI Simulations Deliver Effective Call Center Agent Training

While everyone agrees on the impact of ongoing training for agent productivity in call centers, it can be difficult to deliver it effectively. Harnessing artificial intelligence (AI) for training simulations makes it possible to offer call center agent training on demand, whenever it’s convenient for the agent. 

With AI customer service training, you can offer continual learning and development for your agents to ensure that they have all the knowledge and skills they need for optimal productivity. Here are some of the main ways that AI simulations provide better training that boosts productivity. 

Practicing Soft Skills with AI Simulations

It’s notoriously challenging to improve soft skills like active listening and expressing empathy, because these aren’t capabilities that can be taught and memorized. AI simulations change the playing field. AI-powered role play personas carry out authentic, two-way conversations in which agents have to find the best ways to respond to the “customer’s” queries and concerns. 

If the agent’s soft skills are lacking, they’ll receive targeted, timely feedback that helps them understand how to improve. Then they can dive straight back into another conversation, to put what they just learned into practice and turn their new skills into habit. 

Training New Hires in Call Centers

The longer it takes to onboard new hires, the more your productivity metrics will lag behind expectations. AI simulations offer a more enjoyable onboarding method, so new hires will want to practice more often. AI training is private and non judgmental, which encourages new hires to try out their abilities without embarrassment and helps to significantly shorten time to proficiency. 

AI training also enables you to scale training at will, so you can onboard as many new agents as you like without adding extra resources. What’s more, the AI role play personas are always available, so new hires can practice whenever they have a few moments to spare instead of having to wait for a manager or more experienced colleague to find the time to help them. 

Upskilling Product Knowledge 

In order for your call center agents to efficiently answer customer queries and resolve customer issues, they need to completely understand your product and have all the details at their fingertips. This can be particularly challenging for software companies, which frequently launch new features and update their solution. 

Interactive learning with AI role play personas helps to improve memory retention and speed up mastery of product knowledge. The built-in evaluation also offers a way to verify that agents have mastered the relevant details, so you can feel confident that they fully understand your solution. 

Advantages of Real-time Reporting

When your agents rely on human managers to give them feedback and evaluation, they can end up waiting a long time to receive it. By the time it arrives, they may have forgotten what provoked the feedback in the first place, and could struggle to work out what they need to change in response. 

AI-powered training delivers real time reporting, ensuring that agents instantly receive constructive criticism about their efforts. With timely responses, agents can quickly understand what they should do differently, and immediately dive into another conversation that lets them strengthen their skills and capabilities. 

AI Training Can Serve as the Foundation for Improved Call Center Agent Productivity 

There are many factors that affect productivity for call center agents, and many approaches you can take to improve them. But AI-powered training simulations should be high up on the list. By offering AI role plays, you can strengthen call center agent soft skills and product knowledge, giving them the capabilities they need to resolve customer issues quickly and effectively, helping you meet your productivity KPIs. 

FAQs

  • How do performance incentives impact call center performance?

At first glance, performance incentives can be an excellent way to motivate agents to meet key metrics like First Call Resolution (FCR) rates, Customer Satisfaction (CSAT) rates, and Average Handling Time (AHT). Rewards and bonuses can create a sense of accountability and competition among agents, driving them to improve their productivity and efficiency. 

But you need to align incentives with the organization’s goals and values, to ensure that they drive the desired behaviors and outcomes without sacrificing service quality or employee morale. They also do little to improve agent skills and abilities. 

  • Are there specific techniques to minimize distractions and interruptions in a call center setting?

Implementing designated quiet zones or areas free from non-work-related conversations can help create a focused environment in call centers. It can also help to provide noise-canceling headsets or soundproofing measures to reduce background noise and enhance agents’ concentration. 

Additionally, scheduling breaks and meetings during off-peak call times can minimize disruptions to ongoing customer interactions. Last but not least, ongoing training in time management and effective communication techniques can help agents prioritize tasks and handle interruptions more efficiently.

  • How can we ensure that implemented productivity strategies align with industry standards?

The first step is to conduct regular benchmarking against industry peers and best practices. This involves researching industry standards, participating in relevant conferences or forums, and networking with professionals in the field to stay updated on emerging trends and benchmarks. 

Certifications or accreditations from industry organizations can also validate the effectiveness of your productivity strategies and verify alignment with industry standards. Continuous monitoring and evaluating KPIs against industry benchmarks enable you to make adjustments and refinements, to ensure ongoing alignment and improvement.

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About the author

Rebecca Herson

Rebecca is head of marketing at Second Nature.

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