人员数据与分析 • 6 分钟阅读
如何使用缺勤数据来减少缺勤主义
MAY 12, 2026
缺勤数据是 HR 可用的最丰富、却又最少被利用的洞见来源之一。这里说明如何将其转化为行动。
你的缺勤数据在告诉你什么
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.
基于分析采取行动
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.
