You have to turn busyness into data to reduce overtime

Work analysis to reduce overtime: find the causes of time loss with data Record workload and processing time to reduce inefficiency and work more rationally

If overtime work keeps repeating even though you are always busy with work, the point is that you should first check how the work is flowing rather than simply whether there is a lack of time. Yeosang, a Doctor of Business Administration, emphasizes that instead of relying only on personal intuition, you should record workload and processing time as data to find the cause. This article explains that, to reduce cases where being ‘busy’ does not lead to actual results, an approach is needed that distinguishes between tasks that consume a lot of time, such as meetings, reports, and repetitive work. The idea is that if you confirm numerically which tasks are delaying work, you can make more rational adjustments to staffing allocation and work methods as well. In the end, it points out that to reduce overtime, the important thing is not working longer, but identifying what is consuming time and redesigning the work process.