Company Attrition: Predicting and Identifying Employees at risk of attrition 6 months prior to attrition

Business Context

A leading admissions software company wanted to upgrade its offering by helping colleges to arrest churn of applicants

Key Questions

  • Who are the people that never submit application?
  • Why don’t they submit?

Impact Created

  • Created cost saving of over $3M annually for the company in retaining employees and not investing in new hires
  • Ability to predict churn of applicants from the admissions process with 95% accuracy 6 months before the churn

Solution Design

  • Variable identification and selection
  • Solutioning
  • Output

Solutions Design:

Variable identification and selection:

  1. Applicant Demography
  2. Work experience
  3. Academics
  4. External Factors
  5. Application

Solutioning: Solutions Traits:

  • Level Of Solution: At College
  • Time period: One year
  • Technique: CHAID, CART
  • Validation: Out of sample and out of time

Output:

Tags: HR | IT