Understanding productivity barriers often requires digging deeper than surface-level survey results. In this session, Lucia Goerke, experienced people analytics leader, explains how her team utilised AI-driven cluster analysis to categorise employee feedback, uncovering key operational challenges affecting productivity. From identifying unexpected issues like cafeteria quality to addressing broader frustrations, the session demonstrates how to bridge the gap between analytics and actionable improvements. Learn how advanced techniques like clustering can amplify employee listening strategies and result in practical, cost-effective changes that boost engagement and effectiveness.

• The role of AI-driven cluster analysis in interpreting survey data
• Connecting insights from employee feedback to operational improvements
• Examples of cost-effective actions derived from employee feedback
• Challenges and limitations of using AI for employee experience insights
• Balancing automation with human decision-making in people analytics.

• Understand how to apply AI-driven cluster analysis to employee survey data
• Identify hidden challenges impacting productivity through actionable insights
• Explore practical, low-cost changes to address employee frustrations
• Recognise the limits of AI in employee listening and the importance of human oversight.