In this episode of the 'IMPACTFULTeamwork' podcast, host Julia Felton explores the transition from traditional productivity metrics to innovative human performance metrics.
Drawing from the Deloitte Human Capital Survey and a Hitachi case study, the discussion highlights the importance of measuring worker happiness and its correlation with profitability and employee satisfaction.
Julia explains how modern tools like AI analytics and organisational network analysis can enhance tracking and improving performance. Key topics include overcoming challenges such as productivity paranoia, leveraging data for competitive advantage, and fostering a sustainable approach to business outcomes.
By integrating these new metrics, organisations can boost talent attraction, retention, well-being, and overall productivity, ultimately creating shared value for both employees and enterprises.
00:00 Introduction to Impactful Teamwork
01:09 The Importance of Measuring Productivity
03:14 Hitachi's Unique Approach to Worker Happiness
05:48 The Shift from Traditional Productivity Metrics
08:27 AI and the Future of Work
16:23 Challenges in Measuring Human Performance
20:04 The Rise of Productivity Paranoia
21:13 Balancing Business Outcomes and Human Sustainability
24:03 The Importance of Transparency in Data Collection
27:17 Steps to Implement Human Performance Metrics
29:47 The Role of AI and Data in Performance Management
31:13 Context Matters: Interpreting Data Correctly
32:58 Establishing Responsible Data Practices
33:47 Conclusion: The Future of Human Performance Metrics
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