Call center coaching: Techniques and tools to improve agent performance

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With the rise of AI chatbots and other digital self-service channels, it’s more important than ever for call centers to invest in coaching their employees.

Self-service channels are deflecting the most straightforward customer queries, but customers still prefer talking to a live agent when dealing with more complex issues. As a result, the role of the call center agent is evolving: agents must be adept problem-solvers, empathetic listeners, and strategic advisors. To be successful in this increasingly complex role, they need data-driven coaching.

What is coaching in the call center?

Call center coaching is the practice of giving agents feedback and guidance to improve their call handling. Managers typically hold weekly or monthly coaching sessions to monitor their agents’ performance, check progress toward their goals, and work with them on areas in which they might be struggling.  

Many call centers use quality assurance (QA) monitoring to inform coaching sessions. This involves managers listening to (or using technology to analyze) call recordings and scoring consistent agent performance criteria. QA monitoring helps managers identify what their agents are doing well and what they need to work on. It also helps them benchmark performance so they can set goals and track their agents’ improvement over time.

A good call center coaching program positively impacts both the agent and customer experience. By giving agents constructive feedback and helping them work toward goals, call center managers help agents develop new skills and feel more confident on the phone. This enables agents to resolve issues more efficiently and increase customer satisfaction.

interface illustration with Weekly 1-1: May 12 with Behaviors reviewed and Next actions

The biggest coaching challenges

While call center coaching has a lot of benefits, there are also obstacles. Coaching sessions—and the prep work—are time-consuming. The more time agents and managers spend on coaching, the less time they spend assisting customers or doing strategic work. The cost of taking managers and agents away from core responsibilities adds up, with the average 500-person call center spending about $2 million of staff time on coaching every year.

In many call centers, managers receive minimal training on how to lead effective coaching sessions. They may focus on basic policy adherence and reactive feedback (e.g., coaching on a mistake an agent made on one call) rather than coaching agents on the skills and behaviors that will positively impact the customer experience. Not only is this frustrating for call center agents, but it also hinders the agents’ ability to improve.

Coaching sessions may also suffer from vague or unactionable feedback. Call centers with manual QA programs are typically able to assess less than 5% of their total conversations, which means each agent is coached on a small handful of calls every week or month. This makes it easy for managers to miss big-picture performance trends—and for agents to dismiss feedback as being based on “one bad call.” Coaching sessions that aren’t grounded in data are often ineffective and fail to motivate agents to make changes.

How to effectively coach call center agents

Call center managers can lead productive coaching sessions—and motivate their team members—by focusing on the following approaches:

Set clear performance goals

It’s tough for agents to improve if their coaching feedback consists of advice like “Be friendlier when greeting the customer” or “Deliver the upsell offer with more confidence.” Managers should keep the SMART framework in mind when goal-setting: goals should be specific, measurable, achievable, relevant, and time-bound. Here are some examples:

  • Participate in three peer role-playing exercises this month to practice de-escalating frustrated customers.
  • Increase the number of calls where you offer the upsell by 10% next month.
  • Replace powerless-to-help phrases with language like “What I can do is...” Reduce your use of powerless-to-help phrases by 30% before our next coaching session.

Use data and analytics for objective coaching

Managers need access to conversation data and analytics to set relevant, impactful goals for their agents. While randomly sampling and manually reviewing calls does provide some data, call centers get a more holistic, objective view of agent performance by using QA automation software. This allows them to analyze objective criteria across 100% of their interactions, helping them spot trends and areas of opportunity to coach their agents on.

interface illustration with QA Scorecard and Effort Creating Behaviors data

See how TwinStar Credit Union used QA automation to reduce their agents’ use of powerless-to-help language by 50%

Provide real-time feedback

Post-call coaching sessions are a great way to help agents improve specific skills and behaviors over time, but agents also benefit from real-time feedback during customer conversations. Relevant real-time feedback helps agents course-correct and potentially avoid negative outcomes, such as a compliance violation or failure to resolve a customer issue. Call centers can deliver real-time feedback by having managers listen to live calls and “whisper” guidance to agents via their phone system or by using automated coaching prompts via agent guidance software.

interface illustration with Real-time Analysis, Dynamic Checklists, and AI Wrap-Up Assistance

Encourage two-way communication

Managers should keep agents engaged during coaching sessions by allowing them to share feedback and discuss skills or types of calls they’re having trouble with. Agents can also participate in goal-setting to help them feel more engaged and invested in their professional growth.

5 call center coaching techniques that drive improvement

The GROW Model

The GROW model is a great framework for keeping agents invested in their professional development. Call center managers should ask agents open-ended questions and work with them to define:

  • G—The goal: What the agent wants to achieve.
  • R—The reality: What the current reality looks like and what obstacles the agent may face in trying to achieve their goal.
  • O—The options: What strategies or tools could help the agent reach their goal.
  • W—The way forward: The actions the manager and agent agree to take to reach the goal.

Behavior-based coaching

Behavior-based coaching stems from using conversation intelligence to identify agent behaviors that positively or negatively affect call outcomes. For example, a call center might find advocacy language (e.g., “I’ll take care of that,” “Let me look into that for you”) correlates with a high rate of customer satisfaction, but some agents rarely incorporate the language in their calls. Managers could set goals with those agents to use more advocacy language and improve their CSAT ratings.

See how Connexus Credit Union used Creovai to increase its agents’ use of advocacy language by 42% in the first month

Positive reinforcement and recognition

Rather than just coaching agents on the areas in which they’re struggling, managers should also call out and celebrate the things their agents do well. Managers can acknowledge their agents’ wins in coaching sessions and shout them out in team or call center-wide communications. Many call centers also have incentive programs that reward agents with bonuses or other perks (e.g., additional vacation days) for achieving certain goals.

Peer-to-peer coaching and mentorship

Mentorship programs allow newer agents to learn from more experienced peers by listening to their calls and modeling techniques. Peer learning groups bring together groups of agents to discuss their approaches to call handling, coach one another on behaviors or strategies that work well, and practice these techniques through role-playing. Both approaches help agents learn from the experiences of their peers and develop valuable soft skills.

Real-time coaching prompts

Call centers with real-time agent assist software can use automated coaching prompts to serve agents contextually relevant guidance during customer interactions. This is especially helpful for newer agents, with real-time coaching giving them access to data-backed best practices at exactly the right time.

The role of call center coaching software

Call center coaching software comes in a few different categories:

  • Real-time agent guidance software helps agents navigate complex customer interactions by surfacing the right information at the right time. Real-time guidance software may offer logic-based workflows, AI-powered coaching prompts, CRM integrations to retrieve customer data, or all of the above.
  • Conversation intelligence software analyzes customer interactions at scale to uncover coaching opportunities at the team or individual agent level. Some conversation intelligence platforms also have QA automation capabilities, allowing call centers to build custom QA scorecards that the software automatically completes for every interaction.
  • Coaching hubs bring the materials managers and agents need for coaching sessions, such as call recordings, goal templates, and session notes, into a single platform. This helps managers reduce the time spent on prep work and streamline the coaching experience.
interface illustration with agent's Public notes and Drafts

What to look for in coaching software

Features to look for in coaching software include:

  • Scorecard customization: Call centers can build custom weighted scorecards to automatically track objective criteria across every interaction. These scorecards help managers quickly determine what they should focus their coaching sessions on.
  • AI-powered insights: Coaching software may use machine learning models to identify and tag key events, behaviors, and topics in conversations based on what the customer and agent say. Some coaching software also uses generative AI to answer questions that might not be covered in an automated QA scorecard, such as “Did the agent resolve the issue?” and “What was the primary call reason?” The combination of machine learning categories and generative AI questions gives call centers a nuanced understanding of what’s happening in conversations.
  • Performance tracking dashboards: QA and coaching dashboards give managers and other contact center leaders a high-level view of agent performance and allow them to drill into areas they want to investigate further.
  • Goal tracking templates: Managers can track goal statuses for their teams and agents within a centralized coaching hub, helping them focus their coaching sessions and reward agents for goal achievement.
  • Linked interactions: Managers can link relevant call recordings and interaction records to coaching sessions within their coaching hub, making it easy for them to show agents what they need to work on or what they’re doing well.
  • Intelligence and guidance integration: By choosing a platform that combines post-call conversation intelligence and real-time agent guidance, call centers can automatically build data-backed, AI-triggered prompts into their real-time system. This helps all agents operate at the level of top performers.
interface illustration with Conversation, Conversation Intelligence, and Real-time agent assist

Measuring the impact of call center agent coaching

Great agent coaching has a big impact on the call center’s overall performance. Metrics to track may include:

  • Agent behavior improvement: Are agents getting better at demonstrating positive behaviors, such as asking probing questions and advocating for the customer, while avoiding negative behaviors, such as misdiagnosing behaviors or expressing confusion?
  • First call resolution (FCR): Coaching helps agents identify the issues leading to repeat contacts and get better at solving those issues on the first call.
  • Customer satisfaction scores (CSAT): Effective coaching helps agents build the skills to confidently and efficiently resolve customer issues, leading to greater customer satisfaction.
  • Agent retention rate: When agents feel like they have the support they need to get better at their jobs, they’re more likely to stay with the call center for longer.

See how Thrasio’s investment in QA automation and agent coaching helped them achieve a 97% CSAT score

The virtuous cycle of agent coaching

Call centers can’t overlook the importance of agent coaching. Most customers still opt to talk to live agents when they have a complex issue to solve, and live phone calls still make up about 65% of all inbound call center interactions. As frontline representatives, agents must be prepared to navigate complicated, potentially emotional conversations.

The right combination of coaching techniques and technology helps managers and agents use data to make measurable improvements. And when agents see themselves improving, they’re more likely to enjoy their work and feel invested in delivering a great customer experience.

Want to see how Creovai can improve agent performance?

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