Digital HR Leaders with David Green

Are your meetings actually working? Or has your calendar just become a system nobody knows how to switch off?

In this episode, David Green is joined by Rebecca Hinds, Stanford-trained organisational researcher, Head of the Work AI Institute at Glean, and author of Your Best Meeting Ever: 7 Principles for Designing Meetings That Get Things Done.

In this conversation, David and Rebecca discuss:

Why organisations should treat meetings as a product, and what that actually means in practice
The concept of meeting debt, and why calendars accumulate bloat in the same way codebases accumulate technical debt
What a 48-hour calendar cleanse involves, and what typically happens when organisations rebuild their calendars from scratch
The patterns that show up most consistently when mapping how work actually moves between teams
How AI is being used to improve meetings, and the ways it can make dysfunctional meeting culture worse
What the conversation looks like in the room when CHROs start rethinking collaboration for the AI era

This episode is sponsored by TechWolf.

The world of work is being rewritten faster than HR systems can keep up. Skills age in months. Roles get redesigned quarter by quarter. CHROs have quietly become AI transformation leads, and the data they need to lead it doesn't exist in any HR system.

That's why the world's most forward-looking enterprises such as HSBC, AMD, T-Mobile, GSK, ServiceNow, Pfizer, have built on TechWolf.

As the data layer for the AI era of work, TechWolf gives enterprises the skills, they need to move faster and lead with confidence. Skills Intelligence, Work Intelligence, and Market Intelligence, in one layer. Visit techwolf.ai.

Resources: Your Best Meeting Ever: 7 Principles for Designing Meetings That Get Things Done
Hosted on Acast. See acast.com/privacy for more information.

Most organisations are asking how to get more from their people. But what if the real question is how to get more from the time they spend at work?

In this episode of the Digital HR Leaders podcast, David Green is joined by Joe O'Connor, founder of Worktime Revolution, and Jared Lindzon, future-of-work journalist and author, to explore the research-backed case for the four-day working week, and what it means for how HR leaders design, lead and transform work.

Join them as they discuss:

Why the five-day working week is a relic of the industrial age
What the evidence from global pilots shows about productivity, wellbeing and retention
Why organisations moving to a four-day week are also becoming faster AI adopters
What it actually takes to make the transition work - and why culture and trust are the real foundations
How HR leaders can shift the conversation from top-down mandate to shared, enthusiastic change

This episode is sponsored by TechWolf.

The world of work is being rewritten faster than HR systems can keep up. Skills age in months. Roles get redesigned quarter by quarter. CHROs have quietly become AI transformation leads, and the data they need to lead it doesn't exist in any HR system.

That's why the world's most forward-looking enterprises such as HSBC, AMD, T-Mobile, GSK, ServiceNow, Pfizer, have built on TechWolf.

As the data layer for the AI era of work, TechWolf gives enterprises the skills, they need to move faster and lead with confidence. Skills Intelligence, Work Intelligence, and Market Intelligence, in one layer. Visit techwolf.ai.

Resources: Do More In Four by Joe O'Connor and Jared Lindzon
Hosted on Acast. See acast.com/privacy for more information.

What’s the value of employee experience if you can’t tie it to business performance results?

In this special bonus episode of the Digital HR Leaders podcast, host David Green is joined Katarina Coppé and Jake Mealy, respectively Senior Partner and Chief Data Solutions Officer at Welliba.

Drawing on new research analysing over 25 million data points across the S&P 500, they unpack the direct link between employee experience and financial performance, showing why companies with stronger employee sentiment consistently outperform the market.

Join them to learn more about:

Why traditional employee listening models are breaking down and what’s replacing them
How external data can reveal competitive blind spots in attraction and retention
The surprising link between employee experience and shareholder returns
Why “fixing the floor” matters more than chasing high engagement scores
How HR can bring employee experience into board-level and investor conversations
Practical steps to move from insight to action - faster

Welliba, winner of the 2024 HR Unleash Global Startup Award, is redefining people, culture and organisational insights.

Using the latest AI technologies combined with behavioural science, their EXcelerate solution, instantly analyses all available public data, delivering deep insights into people and organisations - without the need for surveys. Discover how you can elevate your talent strategy, transform your workforce, and stay ahead of your competitors.

Learn more at offer.welliba.com/insight222-2026
Hosted on Acast. See acast.com/privacy for more information.

When your business is transforming, how do you make sure your people strategy is part of leading that change?

In this episode of the Digital HR Leaders podcast, David Green is joined by Mattijs Mol, VP of HR Technology, Strategy and Insights at Wärtsilä, to explore what it really takes to run a people analytics function inside a business undergoing fundamental change.

Join them, as they discuss:

Why transformation creates new demands on people analytics and how to meet them
What capabilities matter most when bringing workforce data sources together
How to make wellbeing land with the business by connecting it directly to performance
How AI is reshaping the people analytics function and the wider workforce
Where the boundaries should be when AI starts influencing real workforce decisions
What the people analytics function could look like in five years

This episode is sponsored by Visier.

Visier Workforce AI is your GPS for workforce decisions. Spot attrition risk, uncover pay gaps, measure leadership impact, and track skills shortages before they slow growth. Then act. Align talent to real business outcomes.

Across industries, HR and business leaders are using Visier Workforce AI to navigate the biggest workforce shifts of our time. Move from knowing to doing, faster.

See it in action at visier.com

Also, make sure to read to explore Visier’s latest research on strategic workforce planning in the AI era.
Hosted on Acast. See acast.com/privacy for more information.

AI, layoffs, reskilling - everyone’s reacting to the same headlines. The question is: are they making the right decisions because of them?

In this episode of the Digital HR Leaders podcast, David Green is joined by Kate O’Neill, Tech Humanist, keynote speaker, and author of What Matters Next, to explore how leaders can make more deliberate, context-aware decisions in a landscape shaped by constant change.

Join them, as they discuss:

Why reacting to headlines can lead to poor decision-making
How to take a more structured, long-term view of change
The ultimate approach to prioritising in complex environments
What meaningful upskilling looks like in the age of AI
Why prompting reflects a deeper shift in how work gets done
How to build trust and communicate change more effectively

This episode is sponsored by Visier.

Visier Workforce AI is your GPS for workforce decisions. Spot attrition risk, uncover pay gaps, measure leadership impact, and track skills shortages before they slow growth. Then act. Align talent to real business outcomes.

Across industries, HR and business leaders are using Visier Workforce AI to navigate the biggest workforce shifts of our time. Move from knowing to doing, faster.

See it in action at visier.com

Also, make sure to read to explore Visier’s latest research on strategic workforce planning in the AI era.

Resources:
What Matters Next: A Leader's Guide to Making Human-Friendly Tech Decisions
We can not leave meaning to machine - TED talk
Hosted on Acast. See acast.com/privacy for more information.