Exit Interview Automation System

Case Study

For a global retailer, we digitized employee exit interviews and implemented AI-powered analytics to systematically identify and structure key reasons for attrition.

Software Development

Background

The client operates across multiple locations and manages a large workforce. Due to regular staff turnover, completing exit interviews on paper and processing them afterward presents a significant challenge. Analyzing the collected data - especially the free-text responses - is a time-consuming process, making it difficult to promptly identify the reasons for employee departures and take appropriate action.

Solution

We implemented an electronic form for completing exit interviews, fully replacing the paper-based process. The subsequent data analysis is performed using artificial intelligence, which automatically categorizes the reasons for employee departures. The structured data is then statistically processed and presented in interactive dashboards, allowing filtering by location, department, manager, and other parameters.

Challenges

  • Overcoming employees’ reluctance to complete exit interviews upon departure
  • Ensuring flexibility in customizing questionnaires by location and country
  • Training the AI to accurately analyze and categorize the data
  • Processing and analyzing responses submitted in multiple languages

Effects

  • Increased completion rate of exit interviews
  • Improved quality of analysis of employee departure reasons
  • Reduced data processing costs
  • Refined access control for HR staff