"Toxic culture is driving the great resignation"

" \n Toxic culture is driving the great resignation \n \n\n \n More than 40% of all employees were thinking about leaving their jobs at the beginning of 2021, and as the year went on, workers quit in unprecedented numbers. \n \n\n \n Between April and September 2021, more than 24 million American employees left their jobs, an all-time record.\u00a0As the Great Resignation rolls on, business leaders are struggling to make sense of the factors driving the mass exodus. More importantly, they are looking for ways to hold on to valued employees. \n \n\n \n To better understand the sources of the Great Resignation and help leaders respond effectively, we analyzed 34 million online employee profiles to identify U.S. workers who left their employer for any reason (including quitting, retiring, or being laid off) between April and September 2021. \n \n\n \n The data, from\u00a0 Revelio Labs , where one of us (Ben) is the CEO, enabled us to estimate company-level attrition rates for the\u00a0 Culture 500 , a sample of large, mainly for-profit companies that together employ nearly one-quarter of the private-sector workforce in the United States. \n \n\n \n While resignation rates are high on average, they are not uniform across companies. Attrition rates for the six months we studied ranged from less than 2% to more than 30% across companies. Industry explains part of this variation. \n \n\n \n The graph below shows the estimated attrition rate for 38 industries from April through September, and the spread across industries is striking. (See \u201cIndustry Average Attrition Rate in the Great Resignation.\u201d) Apparel retailers, on average, lost employees at three times the rate of airlines, medical device makers, and health insurers. \n \n\n \n Industry Average Attrition Rate in the Great Resignation \n \n\n \n This chart shows the average attrition rate across 38 industries from April through September 2021. The industries with the highest percentage of blue-collar workers are noted in light blue. \n \n\n \n \n \n\n \n The Great Resignation is affecting blue-collar and white-collar sectors with equal force. Some of the hardest hit industries \u2014 apparel retail, fast food, and specialty retail \u2014 employ the highest percentage of blue-collar workers among all industries we studied. \n \n\n \n Management consulting, in contrast, had the second-highest attrition rate but also employs the largest percentage of white-collar professionals of any Culture 500 industry. Enterprise software, which also suffered high churn, employs the highest percentage of engineering and technical employees. \n \n\n \n Industry explains some of the variation in attrition rates across companies but not all of it. Even within the same industry, we observed significant differences in attrition rates. \n \n\n \n The figure below compares competitors with high and low attrition rates within their industries. (See \u201cHow Culture 500 Company Attrition Rates Compare Within Industries.\u201d) Workers are 3.8 times more likely to leave Tesla than Ford, for example, and more than twice as likely to quit JetBlue than Southwest Airlines. \n \n\n \n How Culture 500 Company Attrition Rates Compare Within Industries \n \n\n \n During the Great Resignation, companies within the same industry have experienced varying degrees of attrition. \n \n\n \n \n \n\n \n Not surprisingly, companies with a reputation for a healthy culture, including Southwest Airlines, Johnson & Johnson, Enterprise Rent-A-Car, and LinkedIn, experienced lower-than-average turnover during the first six months of the Great Resignation. \n \n\n \n Although the sample is small, these pairs hint at another, more intriguing pattern. More-innovative companies, including SpaceX, Tesla, Nvidia, and Netflix, are experiencing higher attrition rates than their more staid competitors. The pattern is not limited to technology-intensive industries, since innovative companies like Goldman Sachs and Red Bull have suffered higher turnover as well. \n \n\n \n To dig deeper into the drivers of intra-industry turnover, we calculated how each Culture 500 company\u2019s attrition rate compared with the average of its industry as a whole. This measure, which we call industry-adjusted attrition, translates each company\u2019s attrition rate into standard deviations above or below the average for its industry. \n \n\n \n We also analyzed the free text of more than 1.4 million Glassdoor reviews, using the Natural Employee Language Understanding platform developed by CultureX , a company two of us (Donald and Charles) cofounded. For each Culture 500 company, we measured how frequently employees mentioned 172 topics and how positively they talked about each topic. We then analyzed which topics best predicted a company\u2019s industry-adjusted attrition rate. \n \n\n \n Top Predictors of Employee Turnover During the Great Resignation \n \n\n \n Much of the media discussion about the Great Resignation has focused on employee dissatisfaction with wages. How frequently and positively employees mentioned compensation, however, ranks 16th among all topics in terms of predicting employee turnover. This result is consistent with a large body of evidence that pay has only a moderate impact on employee turnover.\u00a0(Compensation can, however, be an important predictor of attrition in certain settings, such as nurses in large health care systems). \n \n\n \n In general, corporate culture is a much more reliable predictor of industry-adjusted attrition than how employees assess their compensation. The figure below displays the five predictors of relative attrition. (See \u201cTop Predictors of Attrition During Great Resignation.\u201d) To give a sense of their relative importance, we\u2019ve benchmarked each element relative to the predictive power of compensation.\u00a0A toxic corporate culture, for example, is 10.4 times more powerful than compensation in predicting a company\u2019s attrition rate compared with its industry. \n \n\n \n Top Predictors of Attrition During the Great Resignation \n \n\n \n The authors analyzed the impact of more than 170 cultural topics on employee attrition in Culture 500 companies from April through September 2021. These five topics were the leading predictors of attrition. Each bar indicates the level of importance of each topic for attrition relative to employee compensation. A toxic culture is 10.4 times more likely to contribute to attrition than compensation. \n \n\n \n \n \n\n \n Let\u2019s take a closer look at each of the top five predictors of employee turnover. \n \n\n \n Toxic corporate culture. \u00a0A toxic corporate culture is by far the strongest predictor of industry-adjusted attrition and is 10 times more important than compensation in predicting turnover. Our analysis found that the leading elements contributing to toxic cultures include failure to promote diversity, equity, and inclusion; workers feeling disrespected; and unethical behavior. \n \n\n \n In an upcoming article, we will dive deeper into each of these factors and examine different ways managers and employees can spot signals of toxic culture.\u00a0For now, the important point is that a toxic culture is the biggest factor pushing employees out the door during the Great Resignation. \n \n\n \n Job insecurity and reorganization. \u00a0In a\u00a0 previous article , we reported that job insecurity and reorganizations are important predictors of how employees rate a company\u2019s overall culture. So it\u2019s not surprising that employment instability and restructurings influence employee turnover.\u00a0Managers frequently resort to layoffs and reorganizations when their company\u2019s prospects are bleak.\u00a0 \n \n\n \n Previous research \u00a0has found that employees\u2019 negative assessments of their company\u2019s future outlook is a strong predictor of attrition.\u00a0When a company is struggling, employees are more likely to jump ship in search of more job security and professional opportunities. Past layoffs, moreover, typically leave surviving employees with heavier workloads, which may increase their odds of leaving. \n \n\n \n Another reason job insecurity could predict turnover is related to our measure of employee attrition, which incorporates job changes for all causes \u2014 including layoffs and involuntary terminations. We would expect frequent mentions of reorganizations and layoffs to predict involuntary turnover. \n \n\n \n According to the U.S. Bureau of Labor Statistics, however, involuntary separations have accounted for less than one-quarter of all employee exits among large companies during the Great Resignation.\u00a0So it\u2019s likely that poor career prospects and job insecurity contributed significantly to employees leaving on their own accord as well. \n \n\n \n High levels of innovation. It\u2019s not surprising that workers leave companies with toxic cultures or frequent layoffs. But it is surprising that employees are more likely to exit from innovative companies. In the Culture 500 sample, we found that the more positively employees talked about innovation at their company, the more likely they were to quit. The attrition rates of the three most innovative Culture 500 companies \u2014 Nvidia, Tesla, and SpaceX \u2014 are three standard deviations higher than those in their respective industries. \n \n\n \n Staying at the bleeding edge of innovation typically requires employees to put in longer hours, work at a faster pace, and endure more stress than they would in a slower-moving company. The work may be exciting and satisfying but also difficult to sustain in the long term. When employees rate their company\u2019s innovation positively, they are more likely to speak negatively about work-life balance and a manageable workload. During the Great Resignation, employees may be reconsidering the personal toll that relentless innovation takes. \n \n\n \n Failure to recognize performance. \u00a0Employees are more likely to leave companies that fail to distinguish between high performers and laggards when it comes to recognition and rewards. Companies that fail to recognize and reward strong performers have higher rates of attrition, and the same is true for employers that tolerate underperformance. \n \n\n \n The issue is not compensation below market rates, but rather recognition \u2014 both informal and financial \u2014 that is not linked to effort and results. High-performing employees are the most likely to resent a lack of recognition for their results, which means that companies may be losing some of their most productive workers during the Great Resignation. \n \n\n \n Poor response to COVID-19. Employees who mentioned COVID-19 more frequently in their reviews or talked about their company\u2019s response to the pandemic in negative terms were more likely to quit. The same pattern holds true when employees talk more generally about their company\u2019s policies for protecting their health and well-being. \n \n\n \n Short-Term Actions to Boost Retention \n \n\n \n The powerful predictors of attrition listed above are not easy to change. A weak future outlook that spurs restructuring and layoffs may be difficult to reverse; it is too late to fix a poor response to the pandemic; and a toxic corporate culture cannot be improved overnight. Relentless innovation provides companies like Tesla or Nvidia with a competitive advantage, so they must find ways to retain employees without sacrificing their innovation edge. \n \n\n \n Our analysis identified four actions that managers can take in the short term to reduce attrition. (See \u201cShort-Term Steps for Companies to Increase Retention.\u201d) As in the graph above, each bar represents the topic\u2019s predictive power relative to compensation. This time, the topics predict a company\u2019s ability to retain employees compared with industry peers. Providing employees with lateral career opportunities, for example, is 2.5 times more powerful as a predictor of a company\u2019s relative retention rate compared with compensation. \n \n\n \n Short-Term Steps for Companies to Increase Retention \n \n\n \n These four topics were the leading predictors of employee retention for Culture 500 companies from April through September 2021. Each bar indicates the level of importance of a topic for employee retention relative to compensation. Offering lateral job opportunities for employees, for example, is 2.5 times more predictive of retention than compensation. \n \n\n \n \n \n\n \n Provide opportunities for lateral job moves. Not all employees want to climb the corporate ladder or take on additional work or responsibilities. Many workers simply want a change of pace or the opportunity to try something new. When employees talk positively about lateral opportunities \u2014 new jobs offering fresh challenges without a promotion \u2014 they are less likely to quit. Lateral career opportunities are 12 times more predictive of employee retention than promotions. We observed the same pattern in multinationals: The more frequently employees discussed the possibility of international postings, the more likely they were to stick with their current employer. \n \n\n \n Sponsor corporate social events. Company-organized social events, including happy hours, team-building excursions, potluck dinners, and other activities outside the workplace are a key element of a healthy corporate culture, so it\u2019s no surprise that they are also associated with higher rates of retention. 12 Organizing fun social events is a low-cost way to reinforce corporate culture as employees return to the office, and it strengthens employees\u2019 personal connections to their team members. \n \n\n \n Offer remote work options. \u00a0Much of the media coverage of the Great Resignation has focused on the importance of remote work in retaining employees. Unsurprisingly, when employees discussed remote work options in more positive terms, they were less likely to quit. What you might not have expected is the relatively modest impact of remote work on retention \u2014 just a bit more powerful than compensation in predicting lower attrition. \n \n\n \n Remote work options may have a modest effect on employee turnover because most companies in an industry converge on similar policies. If companies cannot differentiate themselves based on remote work options, they may need to look elsewhere \u2014 providing lateral job opportunities, for instance, or making schedules more predictable \u2014 to retain employees. \n \n\n \n Make schedules more predictable for front-line employees. When blue-collar employees describe their schedules as predictable, they are less likely to quit. Having a predictable schedule is six times more powerful in predicting front-line employee retention than having a flexible schedule. (A predictable schedule has no predictive power for white-collar employees.) \n \n\n \n This finding is consistent with a study of 28 Gap stores, in which employees at randomly-assigned locations received their work schedules two weeks in advance, and their managers were barred from canceling their shifts at the last minute. Employees in the control stores were subject to the usual scheduling practices.\u00a0The stores with predictable schedules increased retention among their most experienced associates. Compared with the workers at the control stores, the employees with fixed schedules had a 7% improvement in their quality of sleep. The benefits were especially pronounced for workers with children, who reported a 15% reduction in stress. \n \n\n \n Much of the media coverage of the Great Resignation focuses on high turnover among burned-out knowledge workers who are dissatisfied with their stagnant wages. Our findings are broadly consistent with this narrative. Industries that employ large numbers of professional and technical employees, like management consulting and enterprise software, have experienced high turnover. We found indirect evidence that burnout may contribute to higher levels of attrition among companies that excel at innovation. It\u2019s worth noting, however, that our direct measures of burnout, workload, and work-life balance do not emerge as key predictors of industry-adjusted turnover. \n \n\n \n The simplistic narrative of white-collar burnout misses other critical realities of the Great Resignation. Our findings reinforce recent government statistics showing that blue-collar intensive industries like retail and fast food are experiencing unprecedented levels of attrition. \n \n\n \n More fundamentally, we found that corporate culture is more important than burnout or compensation in predicting which companies lost employees at a higher rate than their industries as a whole. A toxic corporate culture is the single best predictor of which companies suffered from high attrition in the first six months of the Great Resignation. \n \n\n \n The failure to appreciate high performers, through formal and informal recognition, is another element of culture that predicts attrition. A failure to recognize performance is likely to drive out a company\u2019s most productive employees. This is not to argue that compensation and burnout don\u2019t influence attrition \u2014 of course they do. The important point is that other aspects of culture appear to matter even more. \n \n\n \n Our research identified four steps \u2014 offering lateral career opportunities, remote work, social events, and more predictable schedules \u2014 that may boost retention in the short term. Leaders who are serious about winning the war for talent during the Great Resignation and beyond, however, must do more. \n \n\n \n They should understand and address the elements of their culture that are causing employees to disengage and leave. And above all else, they must root out issues that contribute to a toxic culture. Our next article will explore, empirically, what constitutes a toxic culture and how organizations can address this challenge. \n "

"Toxic culture is driving the great resignation"

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