Since the beginning, it's been our mission to make the job of managing patrol schedules more effective by revealing details that are difficult or impossible to summarize with off-the-shelf reporting software or spreadsheets. We've invested a lot of time to make sure our reports are accurate and detailed but also easy to digest. Feedback from our customers inspired each section.
Instead of looking at a single snapshot like a typical workload study, you'll see data summarized and directly compared between two periods of time. With a continuing subscription, we can track changes over time and highlight long-term trends.
Per-shift averages for workload studies are easy to calculate, but they don't account for overlaps and will likely conceal problem areas where demand outpaces the available patrol officers. Shift changes often bring into focus the pain of understaffing, and the concern for officer safety becomes elevated. Minor adjustments to shift start times and overlaps combined with a proportional allocation between shifts can significantly alter the efficiency of your patrol operations. With the included access to our Deploy software, you'll be able to quickly make these decisions using the best quality of supporting data.
We utilize our Deploy web application to manage and visualize the potential impact of schedule changes. As a Deploy Plus customer, you'll also have access to the software and will be guided through our methodology to build trust in our recommendations. Using the software, you will also have the power to:
With Deploy, you can easily see the projected impact of proposed changes. But, the number of shifts, teams, their start times, and days off are all variables that you should consider simultaneously. Changing any one of them without access to adequate supporting data can result in understaffing at peak times. The number of possible combinations of these variables is mind-boggling.
Project Bullseye, a new feature, applies the power of artificial intelligence to consider potentially millions of different schedule designs and recommend the most efficient it can find. Now, it's a simple task to adjust your schedule for seasonal changes in weather or population.