
Season 2, Episode 11: Global Workplace Excellence: Navigating Divergent Paths with Data
The conversation explores the evolving landscape of data collection in organizations, emphasizing the shift towards self-identification and the importance of anonymity in employee surveys. It highlights the need for real-time data collection methods that foster trust and engagement among employees. The discussion also delves into the erosion of trust in organizations, the significance of authentic leadership, and the challenges of navigating authenticity in the context of diversity, equity, and inclusion (DEI) work. The role of artificial intelligence in bias detection and the necessity of identifying barriers to growth within organizations are also examined.


