The Canada Revenue Agency (CRA) uses an AI system to analyze open-ended responses from employee surveys through natural language processing and text analysis. This system helps identify patterns and trends in employee feedback across multiple survey programs, supporting evidence-based decisions about HR programs and workplace initiatives.
The system processes survey responses submitted by CRA employees to extract meaningful insights. It uses Python-based text analysis techniques, including clustering and predictive modeling, to understand common themes and workforce sentiment. This analysis helps leadership understand employee perspectives and make informed decisions about HR programs.
Key Facts: This system is currently in development. It does not involve the collection or use of personal information beyond the survey responses themselves. The primary users are Government of Canada employees who benefit from improved HR decision-making based on aggregated survey insights.
