Employee Turnover Analysis With Engagement Surveys

Engagement surveys, in particular census engagement surveys, are powerful because they capture many different perceptions across different facets of the employee experience throughout the organization. A single survey can gather data about employee opinions regarding recognition, growth and development opportunities, the direction of the company, and many other aspects, giving a snapshot of perceptions across the entire organization.

This data can be used for measuring engagement, but it is also useful for linking to different talent or business metrics to understand how employee perceptions impact various business outcomes. In this article, we'll look at how engagement surveys can be used to analyze employee turnoverand give leaders information about what matters most to employees and the actions they should take to reduce attrition.

How do engagement surveys reveal the drivers of employee turnover?

Employee turnover is an issue for most organizations because it's expensive and disruptive. Replacement costs span recruiting, onboarding, training, and lost productivity, and they multiply quickly when the departing employee is a top performer or holds a hard-to-fill role. Most companies want to reduce turnover to avoid these costs.

It's worth drawing an important distinction: turnover can be voluntary (an employee resigns) or involuntary (termination, layoff, or reduction in force). For purposes of engagement-based analysis, voluntary turnover is the primary focus because it reflects aspects of the employee experience that the organization can influence.

Engagement surveys capture employee perceptions across recognition, growth, leadership, and work environment in a single data collection, giving HR teams a documented baseline for turnover analysis. and can highlight where things are going well — as well as the aspects of the experience that are not working for employees. Comparing engagement survey data to termination data can reveal areas of the employee experience that need improvement, ultimately helping to reduce attrition.

Typically, six to 12 months after the engagement survey is administered, termination data from employees who left the organization is compared with those employees' engagement survey responses. This comparison reveals how employees who ultimately left viewed the employee experience shortly before departing.

Their perceptions can then be measured against the perceptions of employees who remained with the company. The gap between those two groups highlights the reasons behind turnover and points to interventions that can reduce it.

Often this data analysis looks at the biggest differences in perceptions between those who stayed and those who left. Typically, the number one driver of attrition is intention to leave. When asked "Do you intend to remain in your job for the next year?" often there will be a 15–30 point difference in scores between employees who left the company within the year after the survey and those who remained.

Other attrition drivers can be unique to the company, the job role, or the length of tenure. Factors related to tenure can vary depending on where the employee is in their journey with the company. For example, employees with less than three years' tenure might express dissatisfaction with resources or work/life balance, while those with more than three years' tenure might rate opportunity for growth and development as unsatisfactory. Given that younger workers tend to stay in roles for significantly shorter periods than older workers, understanding these tenure-based patterns is increasingly important.

Employee turnover analysis also focuses on unfavorable impressions, to determine where employees who left were most unhappy. What aspects of the job or the company were lacking? Analysis of comment themes between employees who left versus those who stayed is also important, and often reveals that employees who departed experienced the work environment very differently than employees who stayed.

How should organizations target employee turnover analysis?

In many organizations, employee turnover data analysis is targeted at the most critical areas — job roles with the highest turnover, positions that are most difficult to fill, or those most important to the company’s profitability. For example, in a food distribution company, delivery drivers may have a high turnover rate. Because reliable delivery is the basis of profitability for the organization, retaining drivers directly protects revenue and reduces the recurring costs of recruiting, onboarding, and lost productivity. A technology company might be most interested in retaining product designers crucial to their competitiveness—and difficult to replace when unemployment is low. In health care, for example, retaining nurses and other clinical professionals is a persistent priority—both because of the difficulty of replacement and the direct impact turnover has on patient care outcomes.

As noted previously, targeting can also extend to job tenure. Attrition data may reflect a spike in turnover at certain points in particular job roles, showing that employees who have been in the job for three years are more likely to leave than those who have a shorter or longer tenure. Targeted analysis may reveal differences in the employee experience for employees who left versus those who stayed in the job. Many organizations also focus on employee turnover statistics for new hires. Having gone to the effort and expense of finding and training new employees, they want to address negatives in the experience that may cause new hires to leave.

By focusing on the most critical and high-risk segments of the employee population, a company can establish internal employee turnover benchmark data and correlate this attrition data with engagement survey responses. Tracking the benchmark year-over-year can reveal how the experience has changed for better or worse, if the reasons employees are leaving are the same or different, or if the pattern or time cycle for departures has changed.

In all of these analyses, it's important to define voluntary attrition. Employees leave for a variety of reasons that can be divided into two categories:

• Push factors represent dissatisfaction with some aspect of the job or organization.

• Pull factors are due to external circumstances, such as a spouse's job relocation, a family illness, or other reasons unrelated to the employee's satisfaction in their role.

Narrowing the focus to employees who were "pushed" from the organization keeps the spotlight on factors within the company's control. Specifically, it's important to get granular, detailed information about those who chose to leave for other employment. What does the new employer offer that was lacking in the experience of the employee in the organization?

This question becomes especially pressing when the labor market is tight and competition for talent is high.

Retaining frontline employees presents its own challenges. These workers often feel the furthest from leadership communication and may lack visibility into growth opportunities. Research shows that a significant share of voluntary departures could have been prevented if managers or the organization had acted on early warning signs. For frontline populations, engagement survey data can surface concerns about safety, scheduling, workload, and support before those concerns drive employees out the door.

How can organizations use survey data to predict and prevent employee turnover?

Correlating engagement survey results with employee turnover data gives leaders a concrete path to reducing attrition, not only diagnosing disengagement. It allows engagement results to be leveraged in a different way to answer a different business question.

By establishing internal employee turnover benchmark data, leaders can also gain some predictive capabilities; if the benchmark shows that 40% of software engineers who express dissatisfaction with growth and development opportunities leave within a year, leaders have an opportunity to intervene to keep more of those employees on board in the future.

Exit surveys are another potential source of data. Exit survey data can be compared with engagement survey responses to see how the employee’s perceptions changed over time. How were employees who departed feeling during the last engagement survey? Were they also unhappy then? Many times the answer is yes; correlating exit and engagement survey data may yield additional predictive capability about attrition risks and opportunities for intervention.

Organizations have many reasons for wanting to avoid or reduce employee turnover, including:

• Direct replacement costs (recruiting, hiring, and training)

• Loss of institutional knowledge and productivity

• Disruption to team workflows

• Increased stress, burnout, and uncertainty among remaining employees

Engagement survey data, when linked to termination data, offers leaders the ability to predict turnover risk. More importantly, correlating these two sources of data can give leaders insight about the actions they should take to improve the specific aspects of the employee experience that are the biggest factors in driving attrition. Research consistently shows that the quality of manager-employee interactions is one of the top levers organizations have to prevent voluntary departures, making manager effectiveness a critical area to track in engagement surveys.

Using survey data to address and get ahead of attrition problems frees up leaders' attention so they can see the way forward and frees up organizational resources for a greater focus on strategic objectives.

Frequently Asked Questions

What is employee turnover?

Employee turnover is the total number of employees who leave an organization during a set time period. It includes voluntary departures, such as resignations, and involuntary ones, such as layoffs or terminations. Companies usually measure turnover monthly or annually. Tracking voluntary and involuntary turnover separately matters because each type points to different causes and calls for different responses.

How do you calculate employee turnover rate?

Divide the number of employees who left during a period by your average headcount during that same period, then multiply by 100. Formula: (Number of departures ÷ Average headcount) × 100. For example, if 10 employees left and your average headcount was 200, your turnover rate is 5%. Most companies calculate this monthly or annually and track it by department, job role, or tenure group to spot patterns early.

What is a high employee turnover rate?

Annual turnover above 15–20% is generally considered high, though acceptable ranges vary by industry. Retail and hospitality typically run higher than average, while industries like government and education tend to run lower. The most useful benchmark is your own industry. If your rate sits well above what peers in your sector report, that gap signals a problem worth investigating. Tracking your rate year over year also helps you spot whether things are getting better or worse, even before comparing to outside benchmarks.

Is all employee turnover bad for an organization?

Not all turnover is harmful. Replacing low performers or bringing in new skills can strengthen a team over time. The concern is high voluntary turnover, especially when strong performers leave. Gallup estimates it costs 40%–200% of an employee's annual salary to replace them, depending on their role. Beyond the financial cost, frequent departures disrupt teams, drain institutional knowledge, and increase stress on the employees who stay. The goal is not zero turnover but rather understanding which departures are preventable and addressing the root causes before more people decide to leave.

Can turnover ever be beneficial during budget freezes or restructuring?

In periods of constrained budgets where hiring is frozen and organizations face difficult decisions about workforce reductions, some voluntary turnover can provide unexpected relief. When employees leave on their own terms during these periods, it can reduce the need for layoffs or departmental eliminations that would otherwise be necessary to meet budget targets. This natural attrition allows organizations to right-size without the morale damage and legal complexity of involuntary terminations. However, this benefit only holds if the departures align with strategic workforce planning. If high performers or employees in critical roles leave during a freeze, the organization loses talent it cannot replace, creating capability gaps that persist long after budgets recover. The key is monitoring who leaves during these periods and ensuring voluntary turnover doesn't hollow out the teams and skills the organization will need when growth resumes.