Tracking how well employees are adhering to schedules in the branch can be like a game of cat and mouse. There are a variety of reasons why employees might deviate, all of which impact employee engagement and business performance. Understanding how well employees are adhering to schedules is tricky.
Employees sometimes don’t work when they are scheduled and sometimes they work beyond their scheduled hours. Sometimes schedules are edited to account for this and sometimes they aren’t.
The Kronos data science group developed a metric called Schedule Adherence to better help understand what was happening. A high Schedule Adherence means employees are working to the schedule and a low value means they are not working to their scheduled hours. High performing companies or departments typically score in the 80’s.
Once again, the score can be applied at any level of the organization. It uncovers a variety of situations. In one case the Kronos data science group saw a score in the high 90’s. At face value, the company might've congratulated the manager for exceptional performance. But it seemed unusual to have such a high score.
By charting the below histogram of schedule edits for this manager, shown below, it shows edits were primarily made after the schedule had been worked, which is not typical nor recommended. By looking at the individual edits, it became apparent what was happening at several locations. Supervisors were changing schedules to match whatever hours employees worked to make it look like employees were following the schedule which was the company’s intended practice. The x-axis in this chart shows how many days before or after the day of work that the schedule is edits. 0 is the day of work.
Learn more about how branch scheduling with built in scheduling adherence tools can help your institution.