Many decisions about staffing, allocation, and scheduling are made primarily on the CFS (Calls for Service) counts, and if time spent is included it is usually a generalized number across all CFS events. You’ve likely read something like “the average CFS took 18:41 to complete”. This is a very broad brush to apply when looking at resource consumption, and won’t provide the data needed to match your resource to your demand.
The most valuable resource that patrol officers possess is time. Time to respond and handle calls when citizens need help. Time to proactively engage their community. Time to write reports and take care of the day-to-day business. Time to collect information and investigate. Time to attend training and gain the most recent skills and knowledge available. So, when it comes to measuring this most valuable resource, how should it be done?
Adding up the time spent on CFS may seem straightforward, but the actual resource consumption is more complicated. It is not just looking at the time elapsed from the time of arrival to the time the call is clear. What if multiple officers respond? What if officers return to the call later? Each CFS is not equal and should not be treated as such.
Take for example a shoplifting call at your local big box store. One officer can typically handle a shoplifting call in about 30 minutes. Now, let’s look at a disturbance call outside a bar in a crowded entertainment center of town. One officer is not sufficient for this call, rather four officers are needed and it will take much longer than 30 minutes, probably one hour or more, to handle. So, while each call gets one tally in the count column, the time spent is vastly different; 30 minutes compared to four hours (4 officers @ 1 hour each = 4 hours). Time should not be seen as linear, rather it should be viewed as stacked.
What if officers make multiple trips to the same call? For example, they clear the call but need to speak with the parties again later. Each instance of work on the call needs to be calculated so the true demand can be captured. Measuring from the first on-scene to the last clear would greatly inflate the time spent on the call. In the sample below, the actual time spent on the call was less than 2 hours, yet the first arrival to the last clear adds up to over 5 hours and would be an inaccurate measurement of resource demand.
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