Addressing the Underutilization of Exit Interview Data: A Structured AI-Assisted Framework for Actionable Workforce Insights in SAP Success Factors
Exit interviews represent a consistently available yet insufficiently leveraged source of organizational knowledge within enterprise human resource systems, and despite the structured data capture capabilities of platforms such as SAP SuccessFactors, the qualitative nature of employee feedback often limits its analytical value when processed through manual review or simple categorization methods; this study argues that the absence of a standardized interpretation approach results in fragmented insights, inconsistent reporting, and limited integration of exit feedback into strategic workforce decisions, where empirical patterns suggest that key drivers of attrition, managerial effectiveness, and workplace conditions frequently remain underexplored due to variability in interpretation and lack of scalable analysis mechanisms; to address these challenges, the paper introduces a structured AI-assisted interpretation framework designed to systematically process and transform unstructured exit interview data into actionable workforce insights within SAP SuccessFactors environments by combining text normalization, feature extraction, theme classification, and insight aggregation techniques, while ensuring compatibility with existing system configurations and reporting structures; the evaluation of the proposed approach demonstrates measurable improvements in insight extraction accuracy, classification precision, and consistency of interpretation, along with a substantial reduction in manual effort and time required to generate insights, and comparative assessment against traditional manual and rule-based methods indicates enhanced capability in identifying recurring patterns and producing decision-relevant outputs, thereby reinforcing the potential of structured AI-assisted analysis to elevate exit interview data into a reliable and scalable component of organizational intelligence and workforce planning.
Keywords: Exit Interview Analysis, Workforce Analytics, SAP SuccessFactors, Employee Attrition Insights, Text Classification, HR Data Interpretation, Organizational Intelligence, Qualitative Data Analysis, Insight Extraction, Employee Feedback Analysis, Workforce Trends, HR Decision Support
