e-TRAIN
Police Training with Body-Worn Cameras
A Program That Customizes To Each Officer’s Decisions
See How e-TRAIN Does Police Training
In this paragraph, we describe this short video showing how e-TRAIN police training meets Officers’ needs. Firstly, see the platforms e-TRAIN works on. Secondly, see an example scenario with common policing decisions. Thirdly, see how to customize e-TRAIN to your agency. Finally, see how e-TRAIN’s After Action Report breaks down decisions for faster learning.
e-TRAIN
Officer Account
See below how e-TRAIN police training works. Firstly, you can see how it can be customized to any agency. Secondly, you can learn which agencies have used it. Most importantly, you can learn what they have said about it for police training.
How e-TRAIN Police Training Works
In this paragraph, we will describe how e-TRAIN is one of deCervo’s many Decision Training products. Firstly, deCervo’s Decision Training products help its users improve decisions in high-stakes environments. Secondly, we do this by simulating aspects of those decisions on a laptop, tablet or mobile phone.
From there, we grade decision performance. Thirdly, and most importantly, we make a customized training program using those grades to improve the user’s performance from baseline.
The e-TRAIN Classroom is the starting point for this way of training in 21st century policing
In this paragraph, we describe how e-TRAIN offers reality-based training. Specifically, the reality comes from visual and auditory data on BWC footage. Moreover, once imported to e-TRAIN, these BWC videos become a gamified tool to measure baseline and improve decision performance. As a result, these baselines and customized training programs can be done on any screened device. Specifically, smartphones, tablets, laptops and desktops are all ways to do e-TRAIN’s reality-based police training.
What Results We Have Seen
In this paragraph, we discuss how deCervo’s Decision Training technology has shown improvements from baseline across. Firstly, our video-based Decision Training tracks performance via the accuracy of decisions made.
Additionally, we consider the difficulty and speed of those decisions. For instance, we have seen users improve accuracy by 16% in a matter of months. In addition, we have seen their decision speeds get 25% faster. Importantly, we have seen a dosing effect, where the more videos a user trained on, the more accurate and faster their decisions became.
“e-TRAIN is a perfect fit for the training needed”
-SGT Jeremy Conkling, President of the Anchorage Police Department Employee Association
e-TRAIN
Officer Account
In this paragraph, we describe how we made e-TRAIN to fit law enforcement reality-based training needs. Law enforcement veterans make up our team of e-TRAIN Specialists. They created with deCervo engineers the initial curriculum of gamified videos. Firstly, these video scenarios are used in baseline assessments. As a result, e-TRAIN makes a custom training program for each officer. Specifically, each gamified video is preceded by the Context (e.g., a 911 call or CAD readout).
Consequently, after Video Evidence is shown, the LEO user is prompted to make a Decision. For instance, this decision could be to identify relevant body language or objects in view, or to choose from a set of options driven by agency policy (see how to make a scenario here). Importantly, the LEO user can then review performance in an After Action Report. Above all, this information is important because it goes into selecting the next video most appropriate for the officer’s decision ability.
How We Customize Police Training To Your Agency
The e-TRAIN Customized Curriculum is developed with Scenario Builder (see overview video here). e-TRAIN Specialists will guide you on how to use your agency’s own BWC footage to identify relevant decision points. From there, you will develop a customized version of e-TRAIN specific to encounters in your community. Specifically, the custom version can be driven by simple question-answer decisions, or by other types of decisions. For instance, you can see examples of these decisions, like visual search for body language, escalation or compliance indicators here.
