{"version":"1.0","type":"rich","provider_name":"Acast","provider_url":"https://acast.com","height":250,"width":700,"html":"","title":"Why People Analytics Needs a Product Mindset to Thrive with AI","thumbnail_width":200,"thumbnail_height":200,"thumbnail_url":"https://open-images.acast.com/shows/611a598b29aaa600197df91c/1770633123842-9587e76f-878c-4466-8c09-985114d6c1af.jpeg?height=200","description":"

People analytics has spent years building credibility through data. Now the pressure is different. Business leaders aren’t just asking for insight - they’re expecting direction. Where should we invest? What should we stop doing? What risks are we not seeing yet? 


But many teams still find themselves pulled back into reporting cycles, ad-hoc requests, and an overemphasis on metrics that don’t always lead to better decisions. 


So what shifts when people analytics starts operating more like a product and less like a project function? 


In this episode, David Green is joined by Ashar Khan, Head of People Insights and Solution Design at Autodesk, to explore how the function evolves from delivering data to shaping choices at scale. 


Join this conversation as they discuss: 



This episode is sponsored by Worklytics. 


How productive is your organisation, really? Worklytics makes it clear - with privacy-first insights from everyday work data. See how meeting volume, manager effectiveness, collaboration health, and AI adoption are impacting your team’s focus, efficiency, and outcomes - so you can make smarter decisions, faster. 

No surveys. No assumptions. Just clear insight into work. Right now, Worklytics is offering podcast listeners a free 30-day trial of their productivity analytics dashboard. 


Learn more at worklytics.co/productivity 


Link to resources: 


","author_name":"David Green"}