CBP Employee Experience
Description
Parsing through voluminous amounts of qualitative and quantitative data from recruit/applicant/employee survey data. The technology provides actionable intelligence for senior leaders to better improve the recruit/applicant/employee experience, thereby increasing both yield rates and resiliency.
Detailed example
Real time insights related to the experience of USBP recruits, applicants, and employees.
AI / analytics pattern
Natural Language Processing: AI that processes, interprets, and shares information in human language.
Automation level / stage
c) Deployed – The use case is being actively authorized or utilized to support the functions or mission of an agency.
Expected benefit
CBP Employee Experience is intended to ingest, interpret, and operationalize employee experience data originating from survey results and operational data to deliver real time insights related to the experience of USBP recruits, applicants, and employees. These metrics inform HRM leadership of opportunities for process improvement in order to meet congressionally mandated hiring targets and retain a qualified workforce.
Controls / human review
ATO: Yes; PIA: Not published
Data needed
The platform uses a supervised machine learning model trained on baseline non-governmental data, which is regularly updated and tested for accuracy. CBP can further train the model by correcting sentiment tags, allowing the system to learn from feedback through both hard and soft rules.