Dữ liệu con người & Phân tích • 6 PHÚT ĐỌC
Cách Sử Dụng Dữ Liệu Nghỉ Vắng Mặt Để Giảm Tình Trạng Nghỉ Việc Vắng Mặt
MAY 12, 2026
Dữ liệu nghỉ vắng mặt là một trong những nguồn insight phong phú và ít được khai thác nhất mà HR có thể sử dụng. Dưới đây là cách biến nó thành hành động.
Dữ liệu nghỉ vắng mặt của bạn đang cho thấy điều gì
Absence data contains multiple diagnostic signals that HR rarely reads systematically. High overall absence rates signal a general wellbeing or management problem. High rates of short-term absence (one to three days) with frequent occurrences per individual signal the Bradford Factor problem: employees who are frequently absent in short bursts have a disproportionate operational impact compared to employees with the same total days absent in fewer, longer episodes. Clusters of absence on Mondays and Fridays signal presenteeism followed by avoidance, often associated with burnout or work-related stress.
Hành động dựa trên phân tích
Once you have identified the patterns, the intervention is typically at the manager level. High absence in a specific team, particularly short-term and Monday-Friday-clustered absence, is almost always partly explainable by management quality. Require managers of high-absence teams to review the absence data with HR and identify the root causes. Implement structured return-to-work conversations after every absence, regardless of length: they are the most effective single intervention for reducing short-term absence rates because they signal that absence is noticed and that manager support is available.
