How to Use Machine Learning to Power Conversations and Retain More Contact Center Employees

Improve the Employee Experience for Customer Service Agents and Supervisors Through Conversations Informed by Predictive Analytics   

Creating rewarding employee experiences and retaining employees is key to running any business. Using machine learning as a retention enabler is the focus of this blog post. 

While appearing on CNBC in 2019 to announce a new tool IBM had created—with AI, machine learning, and predictive analytics—to identify employee flight risk candidates, former IBM CEO Ginni Rometty said, “The best time to get to an employee is before they go.”  

By harnessing digital technology innovation, forward-thinking business process outsourcers (BPOs) can take action to reduce employee churn—especially among frontline workers.  

In this blog post, we’ll explore how BPOs can use machine learning and predictive analytics to retain more contact center employees by assessing frontline employee attrition risk and leveraging that knowledge to create an employee experience that often addresses their unique needs.  

We’ll cover: 

  • Employee retention in the 2020s. 
  • Costs of replacing contact center employees who leave. 
  • Modeling data to identify employee attrition risk patterns. 
  • Predicting and reporting employee attrition risks. 
  • Intervening to retain employees. 
  • Measuring intervention outcomes. 
  • Calculating the impact of intervention on P&L. 
  • A real-world example.

Employee Retention in the 2020s  

Since the onset of the pandemic, employee retention has become an even greater challenge than it was when Ginni Rometty appeared on CNBC in 2019.  

A global survey by PwC revealed that, across all lines of work, one in five employees expected to find a new opportunity in 2022.  

Digitally savvy BPOs use every tool at their disposal in an attempt to retain their frontline customer experience team members. 

Costs of Replacing Contact Center Employees Who Leave  

Direct and indirect costs add up quickly when replacing contact center employees who leave voluntarily. 

Direct costs include recruiting, onboarding, and training each new employee. It can take months to hire a new employee and train them to become fully versed in a new customer experience position. 

Indirect costs become factors the moment an employee departs. That’s when the employer loses the employee’s skillset, everything the employee learned about the company and the CX program they supported, as well as internal processes when working with their team and stakeholders.  

Moreover, teams have to cover the gap left by the departing employee until a new employee is onboarded and up to speed.  

When a team member departs, their loss can also lower morale. When an experienced worker leaves—especially one in a supervisory role—indirect costs rise even higher.

Watch Our Webinar

iQor SVP IT Joe Przybylowski, Data Scientist Andrew Reilly, and VP Operations Terri Robertson explain how iQor uses machine learning to help reduce employee turnover.  

Modeling Data to Identify Employee Attrition Risk Patterns

Organizations have long used annual surveys to measure employee sentiment. Surveys can provide a limited sense of how employees feel about working for an organization to help guide general improvements. Annual surveys are limited in their ability to identify individual employee sentiment and predict which specific employees are likely to leave, for several reasons: 

  • Many workers don’t complete the survey. 
  • Some workers might respond with what they think is the “right” answer instead of how they really feel. 
  • Some organizations only use anonymous surveys, so the organization doesn’t know which employees fit the profile of a flight risk. 

For a more accurate snapshot of individual employee sentiment, quick surveys conducted at regular intervals that identify employees are often more effective.  

Training the Machine Learning Model 

Data Scientists can use machine learning to analyze harvested data from former employees’ surveys and create profiles of employee sentiment that suggest when a worker is likely to voluntarily separate from the BPO. With these profiles, data scientists can create an employee attrition risk training model for a machine learning algorithm. As new data is compiled from existing workers and as more workers depart, machine learning automatically updates the algorithm to make it more accurate. 

Adding More Data Sources for Modeling Accuracy 

While using a single source of data may provide some guidance, there’s always a risk that the model is biased in some way, or that the sample size is too small. Using multiple data sources makes the model more accurate.  

Data scientists follow a formal process to identify and validate potential data sources based on elements of a worker’s environment, including how they interact with coworkers and supervisors. 

Environmental data sources might include: 

  • Schedule. 
  • Login and logout times. 
  • Frequency of breaks. 
  • Compensation. 
  • Complexity of the tasks assigned. 
  • Coaching interactions. 

Data scientists diligently explore other data sources through cross-functional analysis of processes.  

Predicting and Reporting Employee Attrition Risks 

Using multiple data sources minimizes bias built into a single data source. With enough data, predictive analytics (a subset of machine learning) can forecast which employees are the most likely flight risks and why they are at risk of leaving. 

Once data analysts have an accurate view of which employees are likely to voluntarily separate—and the probable causes for their separations—they share their findings with the employees’ managers. These reports get to the heart of who’s at risk and why, and spare managers the tedious task of having to decipher the data.  

The manager then determines the next step to take with each employee. Knowing the likely reasons an employee is an attrition risk gives managers a relevant starting point when they intervene proactively in their attempt to retain the employee. 

Intervening to Retain Employees 

Knowing why an employee is considering leaving can enable a manager to determine the best approach to resolve the employee’s concern, create a better experience for them, and help them remain on the team. 

When the manager is empowered to take an empathetic approach to intervening with the employee, they help the employee understand their commitment to resolving the concern. 

For example, if predictive analytics identifies an employee encountering scheduling concerns that make their job logistically challenging, the manager can work with the employee to design a more flexible schedule that better meets the employee’s needs. 

If, for instance, predictive analytics identifies an employee seeking additional career growth opportunities, the manager and employee can develop a plan to support the employee’s aspirations to learn and grow within the organization. 

With these and many other examples, when a manager knows the likely reasons an employee might voluntarily separate, they can tailor their approach to address the employee’s individual needs and create a better employee experience that recognizes their value to the organization and keeps them on the team.

More Real-World Examples

Learn How Machine Learning Can Help You Reduce Employee Turnover
Check out our webinar featuring iQor SVP IT Joe Przybylowski, iQor Data Scientist Andrew Reilly, and iQor VP Operations Terri Roberts to discover how to harness technology to engage employees and reduce turnover. Get the details directly from the experts responsible for this program. 
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Measuring Intervention Effectiveness 

To determine the efficacy of interventions, companies run tests. Among a group of employee churn candidates, a portion is placed in a control group to measure the differences in outcomes between those who receive interventions and those who don’t.   

Calculations over time have proven how much more effective intervening is than not intervening to retain employees predicted to be at risk of voluntarily separating through the intelligent model explained in this blog post. This can result in significant boosts in contact center employee retention as well as improved overall employee experiences, including career advancement for retained employees.  

Bottom Line: Retaining Customer Experience Agents Improves CX 

Experienced customer service agents build relationships with their teammates, serve as mentors to newer agents, treat their customers with the care and respect they deserve, and champion the brand they represent. 

With machine learning and predictive analytics, BPOs can positively affect frontline employee retention and keep their employees and customers smiling. Heart

Experience the Best in Data Analytics  

iQor’s analytics as a service offering uses a combination of iQor’s proprietary speech analytics platform, cloud computing, machine learning, artificial intelligence, and data analysis to develop custom interventions for identified areas in need of improvement along the customer journey. The results produce targeted improvements for the employee, customer, and client. 

iQor is a business process outsourcing company ideally suited to help brands create amazing customer experiences. iQor provides a comprehensive suite of full-service and self-service scalable offerings that are purpose-built to deliver enterprise-quality CX. 

Our award-winning CX services include:   

  • A global presence with 40+ contact centers across 10 countries.   
  • A CX private cloud that maximizes performance and scales rapidly across multiple geographies on short notice.   
  • A partnership approach where we deploy agents and C-level executives to help maximize your ROI.   
  • The perfect blend of intelligent automation for scale and performance coupled with an irresistible culture comprised of people who love to delight your customers.   
  • Virtual and hybrid customer support options to connect with customers seamlessly, when and where they want.   
  • The ability to launch a customer support program quickly, even when you need thousands of agents ready to support your customers.   
  • A best-in-class workforce management team and supporting technology to create a centralized organization that can better serve your entire business. 

iQor helps brands deliver the world’s most sought-after customer experiences. Interested in learning more about the iQor difference? If you’re ready to start a conversation with a customer experience expert, contact us to learn about how we can help you create more smiles.   

Joe Przybylowski is SVP of IT at iQor. Connect with Joe on LinkedIn.
Andrew Reilly is a data scientist on the AI & Data Science Team at iQor. Connect with Andrew on LinkedIn.

Part 2: Recruiting, Three Pillars of Seasonal Staffing in the BPO Industry

For most businesses, it is a normal expectation to bring in extra support for seasonal staffing. This is especially true for call centers that need to increase staff to meet the demands during peak holidays and event-driven periods. But for this hiring process to be successful, companies need the right combination of technology, people, and recruiting and training strategies so they can manage high call volumes without sacrificing quality or their bottom line. 

In this three-part blog series, we dive into the details of what the right combination of tools, people, and strategies looks like so you can partner with your next BPO partner with confidence.  

In part one, we focused on CX technology. In part two, we’ll dive more into hiring, training, and retention strategies.

This blog post shows you:  

  • Best recruiting techniques to find the best-fitting employees fast 
  • Best training strategies and tools to increase speed-to-proficiency 
  • Innovative retention strategies for contact center employees  

Let’s dive in. 

How to Recruit, Train, and Retain Employees for Busy Season Contact Center Staffing

To bring in as many candidates as possible, your BPO partner should be able to recruit as many qualified call center agents as possible — fast.

Recruiting: When you need to hire right and hire fast

Go Big on Referrals

By far, the biggest candidate pool for iQor comes from employee referrals. Referred employees are more likely to stay throughout the season — and longer– because they know what’s needed and expected.

Year-round, we encourage referrals through our Talent Referral Incentive Program (TRIP). TRIP is a unique rewards program that provides employees with cash incentives for bringing in employee referrals.

Referred employees can account for as much as 60-70 percent of our seasonal hires for seasonal events. Some of our programs will hold “resume parties” where employees invite their friends and family members to see what iQor is all about.

Here are three other ways iQor hires right and hires fast: 

  • Leverage Pool of Candidates and Social Channels. At iQor, we draw upon our existing pool of pre-qualified candidates and our recruitment automation platform. We use social media channels like Facebook to find and engage candidates automatically. We build relationships with our employees so many come back year after year while others to continue working. So when one client’s peak season ends, iQor is able to allocate employees to another client who is in need of additional support.
  • Automate Pre-Screening. From there, we send an automatic mobile link for our customized pre-screening questionnaire. If the candidate meets the criteria, our recruiter reaches out to them within the hour via text message and phone call. 
  • Track Candidates Like They’re Your Best Leads. One key difference in our recruiting process is that we track candidates like we would sales leads. We then staff our recruiters accordingly to contact every pre-screened candidate and ensure we get them set up for interviews as soon as possible. 

Once the candidate finishes the final round of interviews (in-person or virtual), they are extended an offer. In combination with our private cloud technology, this recruiting system instantly allows your company to ramp up agents in any location. 

iQor deployed this methodology for our eCommerce client and successfully hired 1,500 customer support experts in just two months. 

Training: Proactive Development of Next Generation Leaders to Support the Influx of Seasonal Hires

Around two to three months before a seasonal ramp, iQor begins developing high-potential frontline agents for leadership roles. These new leaders will serve as team leads, trainers, and subject matter experts to provide additional support for the large number of new employees. This helps reduce burnout, mitigate stress, and aid in speed-to-proficiency as employees dive into a call center environment experiencing some of the busiest times of the year.

Some of our award-winning leadership development courses include:

  • PeaQ Performance Qoaching (PPQ) training. PeaQ is a coaching leadership workshop that aims to coach and develop current iQor leaders with a focus on driving team performance and positive engagement in both physical call centers and work-at-home environments. Participants learn how to identify and coach to an agent’s root cause behavior using multiple techniques.
  • sQholar program. The sQholar program is a series that provides a clear path to leadership roles through training and skill development. sQholar’s are trained to be supportive, they learn how to build trust and provide constructive feedback which will result in less turnover, increased retention, and highly engaged team members leading to higher Net Promoter Scores, client satisfaction and increased ROI.

Retaining: Seasonal Contact Center Employees 

Now more than ever, employees expect more from their employers. So, reducing turnover will take more than a few performance-based incentives – it’s going to take an employee-centric approach that celebrates successes, promotes transparency, and shows proof that the company values and appreciates its workforce. 

Here’s what we found are four sure-fire ways to increase retention for peak seasonal staffing: 

Use employee-centric data analysis 

At iQor, we track retention by many attributes, including recruiter, lead source, work type, geo, and many more, to analyze winning retention combinations and where we can tweak areas for success. Our recruiting teams also employ a simulation and talent prediction toolset better to understand a potential recruit’s strengths and characteristics. We have found that better hires coupled with increased employee engagement result in improved retention.  

We utilize a recruiting analytics tool to enable operations and human resources to report on each recruiting source, applicant, hire, and retention rate at 30 and 60 days, by location and the program. Sites identify successful recruiting sources and will target future recruiting dollars in those areas. This analytics tool allows us to predict future turnover to take proactive steps to improve retention and identify our best employees for better-targeted marketing. 

Celebrate success 

We celebrate employees’ achievements and top performers through regular events such as giveaways, contests, and celebrations to foster a team spirit and create positive energy. We also incorporate retention bonuses and provide extra resources to support resources through their coaching and development. Currently, we host our global iQor Recognize Awards, where employees and leaders can nominate fellow iQorians throughout the year for their exceptional work and achievements.

One of our favorite ways to connect with employees is through our Engagement Champions, who plan and lead activities that engage and recognize employees. These individuals are outgoing, charismatic types that help energize teams, reduce stress, and create a welcoming environment through acts of kindness and genuine care.

Surveys 

Surveys are great tools for gauging contact center agents’ level of satisfaction and helping you find out the best ways to improve their work environment. 

Every week, we survey every employee through our employee portal with a simple five (5) – star question “How’s life for you at iQor?” The results are confidential and roll up to provide each line of business a score between one and five. The trend enables us to measure the impact of change and identify opportunities for more engagement and retention. 

Keep work-at-home an option 

According to Gartner, seventy percent of customer service and support employees want to continue to work at home (WAH) at least once a week after the pandemic ends. Despite growing concerns for the future of organizational culture from some service leaders, Gartner’s data indicates that WAH has not posed too great a challenge to organizational culture. In fact, most customer service employees who work remotely say that organizational culture has remained relatively unchanged – and more than 7 out of 10 think it’s improved since their shift to WAH.  

At iQor, our work-at-home solution allows the onsite experience to be easily mirrored at the agent’s home and improves agent performance and retention. 

Finding the best-fitting employees fast, building a solid talent pipeline, and retaining employees throughout the busy season can be a challenge. Organizations need to go beyond the standard practices and start using automation, data, and employee-centric strategies to better impact their contact center operations. If you’re outsourcing seasonal staff during peak times, look for a partner that can imbed this mindset across recruiting, training, and retention strategies so that you can navigate spikes in customer care volumes with confidence in your teams and your bottom line. 

Are you ready for the next big holiday or promotional event? Let us help you optimize your seasonal staffing needs with digital tools and irresistible people to give your customers the best experience.   

Learn more about iQor’s seasonal staffing solutions