Project Report: Improving Applicant Engagement through A/B Testing
An analysis of factors influencing applicant engagement and strategies for optimization.
This project focuses on analyzing and improving the engagement of applicants in a hiring process. It explores various factors that influence applicant engagement, such as the time taken to apply, the number of steps in the application process, and the clarity of job descriptions. The notebook likely uses data analysis and possibly machine learning techniques to identify patterns and suggest strategies for optimizing the application experience to increase completion rates and overall applicant satisfaction.