Show Notes
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:
The skills and mindsets modern people analytics teams need beyond technical expertise What an effective people analytics operating model looks like in practice The core capabilities required to bridge HR technology and HR strategy Where “metric fixation” leads organisations toward false confidence and poor decisions Why the assumption that AI automatically means “fewer people” misses the bigger picture Practical advice for CHROs building or redesigning a people analytics function today
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:
The Strategic Workforce Planning Handbook David Edwards’ Dark Artistry Newsletter Hosted on Acast. See acast.com/privacy for more information.
More from Digital HR Leaders with David Green
As AI makes knowledge more widely available, are organisations paying enough attention to the relationships that help people put it to work?
What changes when the people function is designed not as a collection of separate HR processes, but as part of the operating system of the company?
Your organisation has committed to an AI strategy. But what does that commitment mean for the people who have to work differently because of it?
What if the thing slowing down AI in HR isn't the technology at all, but the way the function is set up to deliver it?
As AI reshapes work, the people function has an opportunity to play a much bigger role in how organisations navigate the transformation. At Snowflake, that starts with trusted data, strong people analytics and a clear view of what technology should automate, where it should augment human capability, and what should remain human.