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Listening to Employees and Leveraging Data to Better Understand and Deal With Burnout - Episode 98 with Dr. Gary Russo (Providence)

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Manage episode 380241623 series 2884256
Inhoud geleverd door Scaling Culture. Alle podcastinhoud, inclusief afleveringen, afbeeldingen en podcastbeschrijvingen, wordt rechtstreeks geüpload en geleverd door Scaling Culture of hun podcastplatformpartner. Als u denkt dat iemand uw auteursrechtelijk beschermde werk zonder uw toestemming gebruikt, kunt u het hier beschreven proces https://nl.player.fm/legal volgen.

Our guest is Dr. Gary Russo - the Executive Director of Workforce Intelligence at Providence; a not-for-profit health system supporting ~120,000 caregivers (employees) across the US West Coast.
Gary has >10 years of experience building world-class analytics teams while leading People Analytics and Workforce Planning initiatives. His passion is to empower others to embrace data-informed decision making through education and inspiration.
Dr. Russo’s prior training in neuroscience research continues to give him unique insights into the challenges of translating complicated predictions into actionable recommendations. He has been recognized as a People Analytics & Planning Trailblazer, a Top HR Leader to Follow, and a Top 25 Innovator in Healthcare.

In this episode of Scaling Culture, Ron and Gary discuss:

  • Listening to employees while protecting confidentiality

  • How to ask big questions and what matters most?

  • How to leverage data to better understand and deal with burnout

  • Workforce decisions and their economic impact on businesses - and how to measure it

  • The tech-touch balance and how much can you really trust artificial intelligence?

For more information about Gary, please follow him on LinkedIn.
To learn more about our books or our Scaling Culture Masterclass on how to build and sustain a resilient, high-performing team, please go to ScalingCulture.Org.
Lastly, if you enjoyed this episode, please leave us a comment and share the podcast with one of your friends or colleagues!

  continue reading

100 afleveringen

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iconDelen
 
Manage episode 380241623 series 2884256
Inhoud geleverd door Scaling Culture. Alle podcastinhoud, inclusief afleveringen, afbeeldingen en podcastbeschrijvingen, wordt rechtstreeks geüpload en geleverd door Scaling Culture of hun podcastplatformpartner. Als u denkt dat iemand uw auteursrechtelijk beschermde werk zonder uw toestemming gebruikt, kunt u het hier beschreven proces https://nl.player.fm/legal volgen.

Our guest is Dr. Gary Russo - the Executive Director of Workforce Intelligence at Providence; a not-for-profit health system supporting ~120,000 caregivers (employees) across the US West Coast.
Gary has >10 years of experience building world-class analytics teams while leading People Analytics and Workforce Planning initiatives. His passion is to empower others to embrace data-informed decision making through education and inspiration.
Dr. Russo’s prior training in neuroscience research continues to give him unique insights into the challenges of translating complicated predictions into actionable recommendations. He has been recognized as a People Analytics & Planning Trailblazer, a Top HR Leader to Follow, and a Top 25 Innovator in Healthcare.

In this episode of Scaling Culture, Ron and Gary discuss:

  • Listening to employees while protecting confidentiality

  • How to ask big questions and what matters most?

  • How to leverage data to better understand and deal with burnout

  • Workforce decisions and their economic impact on businesses - and how to measure it

  • The tech-touch balance and how much can you really trust artificial intelligence?

For more information about Gary, please follow him on LinkedIn.
To learn more about our books or our Scaling Culture Masterclass on how to build and sustain a resilient, high-performing team, please go to ScalingCulture.Org.
Lastly, if you enjoyed this episode, please leave us a comment and share the podcast with one of your friends or colleagues!

  continue reading

100 afleveringen

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