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Voluntary fluctuation insights — In which departments or roles do employees leave the company most often?
Voluntary fluctuation shows in which areas or roles employees leave the company of their own accord. With this analysis, you can identify where a particularly large number of employees are leaving, which roles are difficult to maintain and where targeted measures for employee retention are particularly important.
What does the analysis of voluntary turnover by department and role mean?
Analyzing voluntary fluctuation by department and role helps:
- to identify departments and roles with particularly high exit rates
- to identify potential problems with remuneration, working conditions or career prospects at an early stage,
- Derive data-based measures for employee retention and targeted personnel planning.
Voluntary turnover by department and role
Based on data from the last 12 months, it is significant differences in voluntary fluctuation:
Departments with the highest voluntary turnover:
• Business Development Performs with 25.0% — every fourth employee leaves the company voluntarily
• digital marketing Follows with 21.7%• Quality Assurance and Testing with 21.6%
• Product marketing with 20.0%
• Data Science with 16.2%
Roles with the highest voluntary turnover:
• DevOps Manager: 200% (indicates multiple occupations)
• Data Scientist: 100% (complete loss)
• Digital Advertising Manager: 100%
• Channel Development Manager: 100%• Cloud Infrastructure Engineer: 100%
• Senior Account Executive: 75%
• Business Development Associate: 57.1%
Critical insights:
⚠️ Particularly critical Are the areas Business Development, Digital Marketing, and Quality Assurance, all of which have over 20% voluntary fluctuation.
⚠️ For individual Tech roles (DevOps, cloud infrastructure, data science), we lose employees faster than we can refill them.
⚠️ Sales-related roles (Senior Account Executive, Business Development Associate) also show high departure rates. These patterns point to possible Competition problems with regard to remuneration, working conditions or career prospects in these specific areas.
