“Why are there so many overtime slips?” Lieutenant Harris asks Sergeant Frank. “It’s been a rough month LT, remember my shift has been down two people and one more just got hurt last night.” Upon closer examination though, Lieutenant Harris realizes these aren’t overtime requests for fill-ins to replace missing cops, rather it’s holdovers as too many officers are working past their end-of-shift. The overtime budget is dwindling fast. “Why are they not going home on time?”, he asks himself.
Working past the end-of-shift is not unexpected, but how often that happens is a clear indicator that the schedule may be askew. Even after officers are done handling calls they’re still on the clock. Often officers are hurriedly trying to complete the stacked-up reports at the end of their shift, which only degrades the quality of those reports. Subpar reports end up getting returned to the officer for corrections, only adding to their already long to-do list. The impacts of a mismatched schedule can snowball and are far-reaching.
Agencies are surprised at how many officers they think are on the street versus the actual number working at any given hour. More importantly, though, agencies are often at a loss of how to obtain this information. Without this data, it’s impossible to know if the schedule is out of alignment.
The graph below, from Deploy PlusTM, shows that many hours throughout the week there are more officers on duty than expected. This agency is quickly burning through its overtime budget.
Examining the difference between how many officers are expected to be working and how many are actually working could be the key to fixing a dwindling overtime budget. The graph below shows that there is some leakage of overtime, but not as drastic as the previous example. It also illustrates that there are more officers being held over on Friday and Saturday than the rest of the week. This agency can quickly identify where the shift overlaps need to be addressed.
Throwing officers at a schedule is not going to fix this problem. The solution lies in the ability to determine which hours of the week are suffering and most importantly recalibrating the staffing numbers to match the demand. A well-aligned schedule and allocation create a balanced workload for all and when it’s time to go home……. you can go home.