Main content

Date created: | Last Updated:

: DOI | ARK

Creating DOI. Please wait...

Create DOI

Category: Project

Description: As the District grows, the Metropolitan Police Department (MPD) needs to hire more officers without lowering standards. To help MPD achieve its hiring goals, The Lab used insights from behavioral science to redesign MPD’s online recruitment process and tested whether the new design improved application rates. We found that streamlining the process did increase the number of applications started, but it did not have an impact on the number of people who signed up to take a qualifying test. Following this study, MPD reduced the number of steps in its application process and launched a new recruitment website.

Wiki

Contact:

Donald Braman, Kevin Wilson, Rachel Breslin

The Lab @ DC

Office of the City Administrator

Executive Office of the Mayor


Web: thelab.dc.gov

Email: thelab@dc.gov


John A. Wilson Building

1350 Pennsylvania Avenue, NW

Washington DC 20004

Files

Files can now be accessed and managed under the Files tab.

Citation

Components

Encouraging Police Officer Applications with Direct Mail | Registered: 2017-06-28 18:58 UTC


Recent Activity

Loading logs...

MPD Recruitment Web Experiment | Registered: 2017-10-11 16:27 UTC

A simple A/B test of existing and possible alternative MPD recruitment forms

Recent Activity

Loading logs...

Tags

behavioral designhiringMPDRecruitmentresidentswebsite

Recent Activity

Unable to retrieve logs at this time. Please refresh the page or contact support@osf.io if the problem persists.

OSF does not support the use of Internet Explorer. For optimal performance, please switch to another browser.
Accept
This website relies on cookies to help provide a better user experience. By clicking Accept or continuing to use the site, you agree. For more information, see our Privacy Policy and information on cookie use.
Accept
×

Start managing your projects on the OSF today.

Free and easy to use, the Open Science Framework supports the entire research lifecycle: planning, execution, reporting, archiving, and discovery.