The ability to predict which employees are likely to leave an organization could be a game-changer for HR and talent executives.
The Great Resignation continues to make headlines. The issues involved with attracting, developing, and retaining talent cost the US economy $1.8 trillion per year and $7 trillion worldwide. To fully appreciate the impact of turnover, it’s wise to consider the hard costs of intellectual capital loss. Employee churn also has the ugly consequences of reduced morale and performance. But what if you could influence, or better yet, predict who is likely to leave? The bottom-line impact would be considerable.
Several key factors contribute to turnover, but a consistent one is the perceived lack of development opportunities. Most employees want to learn, grow and develop their careers. EdCast by Cornerstone LXP offers a wealth of learning opportunities that sparks the intrinsic interests of employees. Taking this into account, we explored the correlation between employees who actively seek learning opportunities and retention. The theme of employee engagement is supported by a growing body of management literature that shows engaged employees perform better, experience less burnout , and stay in organizations longer.
Results of the study
We recently conducted a study that uncovers a predictive indicator of employee churn. We obtained LXP platform usage data for a medium-sized organization over a five-year period.
All data used in this study was obtained from out-of-the-box reports on EdCast by Cornerstone's data & reporting tool.
We looked at several performance measures including content completions, social activity and employee learning hours. We found by doing linear regressions on the previous metrics that learning hours had the highest impact on employee retention. The results include the following metrics:
1. Account status of users on the platform, whether ‘active’ for an active employee or ‘suspended’ for a churned employee.
2. Measurement of tenure in months is obtained by subtracting the employee’s first engagement on the platform to the date outlined.
In the below figure we see trendlines that show active employees had a higher level of learning hours versus those employees who ultimately left the company.
After splitting employees into two groups (above average and below average based on learning hours), the above average group had a survival rate of 85.8% while the below average group had a survival rate of 61.4% for all employees during the five year period. The average number of learning hours for all employees in the study was 40.1 hours.
At the 1-year mark, the average churned employee had 9.3 hours on the LXP versus 28.8 hours for the average active employee. These results show that employees who spent at least 40 hours on the Learning Experience Platform (LXP) were 39% more likely to stay than employees who spent a fewer number of hours.
What does it all mean?
The value of this insight as a predictive indicator cannot be overstated. With this data in hand, organizations can proactively ensure redundancy of knowledge and skills, outline a more effective succession strategy, and plan for potential vacancies. Additionally, HR and talent executives can focus on retaining key talent.
This study has demonstrated a strong correlation between learning, skill development, and employee retention. Employees who are more engaged and feel like they have more control over their professional development goals are less likely to leave their employer.
관련 리소스
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블로그 게시물
인재 건전성 지수: 미래에 적합한 전략을 위한 지름길
조직의 건전성을 정확히 파악하지 않고서 어떻게 조직의 문제를 해결할 방법을 찾을 수 있을까요? 이를 파악하는 데 어려움을 겪고 계신다면 도움을 받아보십시오. 급변하는 인력 동향에 적응하는 데 애를 먹고 있는 조직이 80%를 넘습니다.
고객 이야기
스킬 개발의 주요 변화: 르노 그룹(Renault Group) 고객 사례
21세기의 주요 경제 및 환경 문제를 직면하고 있는 기업 및 직원이라면 새로운 스킬을 빠르게 익혀야 합니다. 스킬을 습득하는 것이 생소한 일은 아니지만, 지금처럼 급격하고 막대한 규모를 필요로 했던 적은 없었습니다. 기업들은 이러한 문제를 해결할 방안을 찾기 위해 혁신 경쟁을 벌이고 있는데, 이 과정에서 학습 기술 툴이 중심 역할을 합니다. 르노 그룹(Renault Group)의 학습 및 개발 부사장인 Patrick Benammar 는 학습 기술 컨퍼런스에서 스킬 혁신에 대한 비전을 제시했습니다. 그는 교육 관리자에게 영향을 주는 세 가지의 지표, 세 가지의 기술적 이점, 세 가지의 변화에 대해 알아보았습니다.