HR Data Labs

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HR Data Labs episodes

August 29, 2024Minette Norman - Inclusive Leadership Demystified
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Summary:
Minette Norman had spent three decades working in the Silicon Valley software industry when she realized that companies needed a new model for leadership. The outdated leadership styles of the mid-20th century were not going to attract and retain the up-and-coming talent of a younger generation. Today, Minette is an international speaker on inclusive leadership and the award-winning author of The Boldly Inclusive Leader.
In this episode, Minette talks about what it means to be an inclusive leader, the challenges organizations face when embracing inclusive leadership, and why inclusive leadership benefits everyone in an organization.

Chapters
[0:00 - 3:53] Introduction
Welcome, Minette!
Today’s Topic: Inclusive Leadership Demystified
[3:54 - 13:34] Minette’s career pivot from working in the software industry to becoming an award-winning author
There is no one size fits all management style
How management has (and hasn’t) changed in the last 75 years
[13:35 - 20:44] Key points from Minette’s book, The Boldly Inclusive Leader
Why leaders should not tiptoe into DE&I
Why psychological safety is necessary for DE&I
[20:45 - 28:25] The challenges organizations face when embracing inclusive leadership
Attracting talent when younger workers expect inclusivity
Why diverse hires alone cannot “solve” inclusivity
[28:26 - 29:42] Closing
Thanks for listening!

Quotes:
“You’re never going to get it all right as a leader, and so that openness to learning . . . is what we need more of.”
“Organizations that have a higher level of diversity and an inclusive culture have better innovation, better financial performance, and more engaged employees.”

Resources:
The Boldly Inclusive Leader
The Psychological Safety Playbook

Contact:
Minette's LinkedIn
David's LinkedIn
Dwight's LinkedIn
Podcast Manger: Karissa Harris
Email us!

Production by Affogato Media

To schedule a meeting with us: https://salary.com/hrdlconsulting

For more HR Data Labs®, enjoy the HR Data Labs Brown Bag Lunch Hours every Friday at 2:00PM-2:30PM EST. Check it out here: https://hrdatalabs.com/brown-bag-lunch/

Produced by Affogato Media
31 min
August 22, 2024Jason Albert - Unpacking the EU AI Act
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Summary:
Jason Albert is the Global Chief Privacy Officer at ADP. He’s worked at the intersection of technology and law for over 25 years and has focused on privacy and AI.
In this episode, Jason unpacks the new EU AI Act, how it will affect companies around the globe, and what they can do to prepare for this new regulation.

Chapters
[0:00 - 3:32] Introduction
Welcome, Jason!
Today’s Topic: Unpacking the EU AI Act
[3:33 - 8:35] What are the implications of the new EU AI Act?
The Act takes a horizontal approach to AI regulation that could affect companies globally
The importance of thinking through usage of AI and developing ethical principles
[8:36 - 14:43] What are the key points of the EU AI Act?
Breaking down the 3 main points of the Act
Using employee data in AI models for HR
[14:44 - 26:56] What can companies around the world do to be compliant with this new regulation?
Could GDPR provide a roadmap for compliance with the Act?
How quickly will the EU (and the rest of the world) have to comply?
[26:57 - 27:46] Closing
Thanks for listening!

Quotes:
“It’s important to know that [the EU AI Act] applies to organizations outside the EU if they supply AI systems in the EU or if the outputs of their systems will be used in the EU.”
“The EU AI Act addresses three key risk areas. . . . and it has different timelines for implementing these provisions depending on the risk category.”

Contact:
Jason's LinkedIn
David's LinkedIn
Podcast Manger: Karissa Harris
Email us!

Production by Affogato Media
To schedule a meeting with us: https://salary.com/hrdlconsulting

For more HR Data Labs®, enjoy the HR Data Labs Brown Bag Lunch Hours every Friday at 2:00PM-2:30PM EST. Check it out here: https://hrdatalabs.com/brown-bag-lunch/

Produced by Affogato Media
29 min
August 15, 2024Season Recap - A Look Back and a Look Ahead
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Summary:
As Season 7 of HR Data Labs comes to a close, David and Dwight take a look back at its episodes, guests, and key takeaways. They also revisit their predictions from last season and put forth some new predictions for the future of HR.

Chapters:
[0:00 - 7:31] Introduction
Welcome, David and Dwight!
Today’s Topic: Season 7 Recap
[7:32 - 22:42] Looking back at Season 7’s major topics and themes
Common themes from the season’s episodes
How HR technology has changed over time
[22:43 - 29:14] Revisiting emotion and vulnerability in the workplace
Being a human at work and not an emotionless machine
The challenges DEI leaders face
[29:15 - 45:52] David and Dwight’s predictions for the future of HR
Have we hit customer survey critical mass, and will we start to see push back?
Will more companies adopt a “lowest common denominator” pay transparency philosophy?
[42:53 - 43:55] Closing
Thanks for listening!

Quotes:
“AI is really driving a lot of the conversion [in HR Tech] . . . and will continue to do so.”
“Pay transparency is going to become something that companies have to de facto do because they operate in states or next to states, [that require it].”

Contact:
David's LinkedIn
Dwight's LinkedIn
Podcast Manger: Karissa Harris
Email us!

Production by Affogato Media
To schedule a meeting with us: https://salary.com/hrdlconsulting

For more HR Data Labs®, enjoy the HR Data Labs Brown Bag Lunch Hours every Friday at 2:00PM-2:30PM EST. Check it out here: https://hrdatalabs.com/brown-bag-lunch/

Produced by Affogato Media
45 min
August 08, 2024Tonille Miller - How to Identify and Reverse Toxic Company Culture
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Summary:
Tonille Miller is the founder of EXT - Experience and Transformation, a boutique consulting firm that helps organizations thrive in the ever-changing world of work. Tonille has over 15 years of experience working as a management consultant, an organizational psychologist, and an executive coach; and she has recently authored The Flourishing Effect: Unlocking Employee Thriving as Your Competitive Edge.
In this episode, Tonille defines good (and bad) company culture; explains how toxic company cultures arise; and advises on how to create and foster great company culture.

Chapters:
[0:00 - 2:43] Introduction
Welcome, Tonille!
Today’s Topic: How to Identify and Reverse Toxic Company Culture
[2:44 - 7:27] What are the many forms of company culture?
Why company culture is about more than just “Taco Tuesdays”
Who should be driving a company’s culture?
[7:28 - 18:21] How toxic culture manifests within an organization
Examples of situations that create a toxic company culture
How a company survives toxic culture coming from leadership
[18:22 - 26:49] What you can do to create a great company culture
Setting clear goals for the organization and then reverse engineering the best company culture to achieve those goals
The many ways to effectively measure company culture
[26:50 - 28:00] Closing
Thanks for listening!

Quotes:
“What data is showing is that most organizations that do focus on their culture see 4 times more revenue growth and stock prices over 800% higher [than] those that don’t.”
“There are surprisingly a lot of great ways to measure company culture…”

Resources:
Tonille's book
Tonille's website

Contact:
Tonille's LinkedIn
David's LinkedIn
Podcast Manger: Karissa Harris
Email us!

Production by Affogato Media
To schedule a meeting with us: https://salary.com/hrdlconsulting

For more HR Data Labs®, enjoy the HR Data Labs Brown Bag Lunch Hours every Friday at 2:00PM-2:30PM EST. Check it out here: https://hrdatalabs.com/brown-bag-lunch/

Produced by Affogato Media
29 min
August 01, 2024Nicholas Rhodes - How AI in the Workplace Can Improve Employee Experiences
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Summary:
Nicholas Rhodes is the Founder and Creative Director of OutSnapped.com and an experience specialist in leveraging generative AI and machine learning to create memorable and engaging company events. In this episode, Nicholas defines generative AI and talks about how HR professionals can use it in the workplace to streamline processes, save valuable time, and possibly even eliminate biases.

Chapters:
[0:00 - 10:04] Introduction
Welcome, Nicholas!
Today’s Topic: How AI in the Workplace Can Improve Employee Experiences
[10:05 - 17:53] What is generative AI and what will it mean for the average HR professional?
Generative AI can be used as an entirely new (conversational) operating system
Using custom AI tools to assist with time-consuming tasks
[17:54 - 29:41] How can generative AI help HR?
AI is not currently influenced by human emotion
The pros and cons of the data used to build current generative AI tools
[29:42 - 39:35] How can HR professionals get started with generative AI?
Generative AI tools are currently more accessible than they may ever be
How organizations can use generative AI privately without putting proprietary data online
[39:36 - 41:26] Closing
Thanks for listening!

Quotes:
“[When using generative AI], no longer am I utilizing the operating system of the computer, I’m using literally a conversational operation system.”
“AI is really scary right now to a lot of folks . . . but it’s free right now, and these tools are not going to be free forever. ”

Contact:
Nicholas' LinkedIn
David's LinkedIn
Dwight's LinkedIn
Podcast Manger: Karissa Harris
Email us!

Production by Affogato Media
To schedule a meeting with us: https://salary.com/hrdlconsulting

For more HR Data Labs®, enjoy the HR Data Labs Brown Bag Lunch Hours every Friday at 2:00PM-2:30PM EST. Check it out here: https://hrdatalabs.com/brown-bag-lunch/

Produced by Affogato Media
43 min
July 25, 2024Amber Ontiveros - Woundings That Drive Imposter Syndrome
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Summary:
Amber Ontiveros is the Founder and President of Ontiveros and Associates, LLC, a professional change management firm. She’s been working in change management around equity and civil rights for about 25 years and has written federal civil rights laws used to determine discrimination. Amber is also the author of Heal the Four Woundings: A Guide to End Discord and Discrimination.
In this episode, Amber talks about the four woundings; why healing woundings has never been more relevant than it is today; and how people can overcome their woundings and overcome imposter syndrome.

Chapters:
[0:00 - 3:59] Introduction
Welcome, Amber!
Today’s Topic: The 4 Woundings That Drive Imposter Syndrome and Oppression at Work
[4:00 - 17:35] What are woundings?
Identifying the 4 woundings
Who can benefit from identifying and working on their woundings?
[17:36 - 29:50] How healing woundings can be applied to today’s environment
How today’s political turbulence can be viewed as beneficial
Why the first step is learning to stop caring about what other people think of you
[29:51 - 36:40] How can people overcome their woundings and imposter syndrome?
The importance of adopting a mindfulness habit
A tool to help you navigate difficult or upsetting events at work
[36:41 - 37:35] Closing
Thanks for listening!

Quotes:
“Neuroscience describes [the four woundings] as protective mechanisms to ensure you can keep self-esteem intact so you can overcome any situation and ultimately eat.”
“One of the very first things that I tell my clients is: you have to stop caring what other people think of you.”

Resources:
Ontiveros and Associates, LLC
Amber's Book

Contact:
Amber's LinkedIn
[email protected]

David's LinkedIn
Dwight's LinkedIn
Podcast Manger: Karissa Harris
Email us!

Production by Affogato Media
To schedule a meeting with us: https://salary.com/hrdlconsulting

For more HR Data Labs®, enjoy the HR Data Labs Brown Bag Lunch Hours every Friday at 2:00PM-2:30PM EST. Check it out here: https://hrdatalabs.com/brown-bag-lunch/

Produced by Affogato Media
39 min
July 18, 2024Lybra Clemons - Move Don't Prove With Data Informed Decisions
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Summary:
Lybra Clemons is an executive coach and human capital and culture strategist with 20 years of experience in HR, DEI, and talent management. She has previously held HR leadership positions at major financial and fintech companies including Twilio, PayPal, and Morgan Stanley.
In this episode, Lybra talks about the difference between data driven and data informed decision making; the major issues surrounding making decisions without data; and how AI might affect our data focused processes.

Chapters:
[0:00 - 7:02] Introduction
Welcome, Lybra!
Today’s Topic: Move Don’t Prove With Data Informed Decisions
[7:03 - 17:08] “Data driven” vs. “data informed”
The importance of using data to “move not prove”
How data-rich and data-poor processes affect decision making
[17:09 - 26:15] What major issues surround non-data-informed decision making?
Using data (or implied data) to fit a narrative
AI’s role in data informed decision making
[26:16 - 37:16] How to prepare for AI assistance in the workplace
The importance of healthy skepticism
Leaders have an obligation to think critically and qualitatively about data
[37:17 - 38:08] Closing
Thanks for listening!

Quotes:
“Data informed goes along the lines of ‘we want to use data to move the needs’... versus to prove something.”
“This idea that everyone wants to be back in the office five days a week... this is where I think it’s the opposite of data driven; where there’s a lot of data and people just ignored it.”

Contact:
Lybra's LinkedIn
David's LinkedIn
Dwight's LinkedIn
Podcast Manger: Karissa Harris
Email us!

Production by Affogato Media
To schedule a meeting with us: https://salary.com/hrdlconsulting

For more HR Data Labs®, enjoy the HR Data Labs Brown Bag Lunch Hours every Friday at 2:00PM-2:30PM EST. Check it out here: https://hrdatalabs.com/brown-bag-lunch/

Produced by Affogato Media
40 min
July 11, 2024Heather Bussing - Unpacking Pay Equity and What It Really Means for Employers
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Summary:
Heather Bussing has been a California employment attorney for over 30 years, has worked in the HR tech space for nearly 20 years, and is a newly published author! In this episode, Heather talks about why pay equity is so closely related to DEI&B, why American legislators are finally breaking new ground with pay equity laws, and what employers can do to improve pay equity in their organizations.

Chapters:
[0:00 - 9:07] Introduction
Welcome, Heather!
Today’s Topic: Unpacking Pay Equity and What It Really Means for Employers
[9:08 - 18:22] Why is pay equity a large part of DEI&B?
Pay equity is much more visible now thanks to HR technology
Reliable data is still critical for pay equity analysis
[18:23 - 27:19] Why is pay equity now a topic of discussion for American legislation?
Unpacking the evolution of pay legislation
Why more states haven’t yet passed pay equity legislation
[27:20 - 33:52] What can employers do to improve pay equity?
Pay equity is a compliance issue which can be very expensive
(Not legal) advice on how to follow the various pay equity regulations from various states
[33:53 - 34:55] Closing
Thanks for listening!

Quotes
“Along with [pay] transparency, needs to come education.”
“It is so much cheaper to throw money at your [employees] instead of your lawyers.”

Resources:
Get Pay Right book
Pay Equity

Contact:
Heather's LinkedIn
David's LinkedIn
Podcast Manger: Karissa Harris
Email us!

Production by Affogato Media
To schedule a meeting with us: https://salary.com/hrdlconsulting

For more HR Data Labs®, enjoy the HR Data Labs Brown Bag Lunch Hours every Friday at 2:00PM-2:30PM EST. Check it out here: https://hrdatalabs.com/brown-bag-lunch/

Produced by Affogato Media
36 min
June 27, 2024NYCA Spring Panel - Tackling the New Complexities of Compensation Planning
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Summary:
This episode is a recording of panel discussion that took place during the recent NYCA event in which Sean Luitjens, General Manager of total rewards analytics at Visier, Jackie Rubin, Associate Director of talent and rewards at Willis Towers Watson, and K.C. Weinraub, VP of total rewards at eHealth, answer questions posed by our very own David Turetsky.

In this episode, Sean, Jackie, and KC talk about the past, present, and future world of pay and tackling the new complexities of compensation planning.

Chapters:
[0:00 - 9:46] Introduction
Welcome, Sean, Jackie, and KC!
Today’s Topic: Tackling the New Complexities of Compensation Planning
[9:47 - 17:30] In what surprising ways does pay affect compensation planning?
Communication of compensation plans is increasingly becoming HR’s scope
Developing a data strategy before rolling out an AI strategy
[17:31 - 36:01] What pay decision issues are we anticipating for the rest of 2024?
Developing managers as opposed to “knighting” managers
How employees weigh compensation vs. benefits when looking for a jobs
[36:02 - 49:39] Predicting for changes in compensation planning in 2025
Why it might make sense to revise compensation plans more frequently
How pay increases might change in the future
[49:40 - 62:36] BONUS: What scares you about the future of pay?
Legislation regarding exempt vs. non-exempt employees
[62:37 - 63:28] Closing
Thanks for listening!

Quotes
“We have to train our managers and our leaders on how to talk about [compensation plans] to the populations within our organizations.”
“I think compensation planning will become more cyclical—three or four times a year. . . . I think that will help with the employee experience and with the manager experience.”

Contact:
Sean's LinkedIn
Jackie's LinkedIn
KC's LinkedIn
David's LinkedIn
Podcast Manger: Karissa Harris
Email us!

Production by Affogato Media
To schedule a meeting with us: https://salary.com/hrdlconsulting

For more HR Data Labs®, enjoy the HR Data Labs Brown Bag Lunch Hours every Friday at 2:00PM-2:30PM EST. Check it out here: https://hrdatalabs.com/brown-bag-lunch/

Produced by Affogato Media
1 hr 5 min
June 20, 2024Jonathan Whistman - How to Use AI to Improve Recruitment
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Summary:
Jonathan Whistman is the author of The Sales Boss and current CEO of WhoHire, an AI-powered talent intelligent platform for the trades. In this episode, Jonathan talks about problems with current recruitment processes, how AI integration can fix those problems, and why leaders and managers may need to reframe how they think of AI in the workplace.

Chapters:
[0:00 - 6:08] Introduction
Welcome, Jonathan!
Today’s Topic: How to Use AI to Improve Recruitment
[6:09 - 11:29] What’s wrong with the current recruitment process?
People can inadvertently fall into patterns
High-value recruiters can spend a lot of time on application review
[11:30 - 23:31] Will HR’s implementation of AI eliminate the need of HR practitioners?
Pairing AI with automations for a more active recruitment process
AI should not discount the fact that HR processes still affect real people’s livelihoods
[23:32 - 43:47] Do leaders and managers need to reframe how they think about AI nowadays?
Technological growth is accelerating at an unforeseen rate
How the ever-changing world affects how leaders should view and run their businesses
[43:48 - 45:26] Closing
Thanks for listening!

Quotes
“When you’re looking at your hiring process, look at it as a two-sided coin where you really want to give as much control [as possible] to the applicant.”
“I think in the future we’ll have a life concierge that is an AI that knows us more intimately than we know ourselves and can proactively go out and find opportunities that we’re uniquely suited for. ”

Resources:
Real-time Job Postings Salary Data
Jonathan's Book
WhoHire

Contact:
Jonathan's LinkedIn
David's LinkedIn
Dwight's LinkedIn
Podcast Manger: Karissa Harris
Email us!

Production by Affogato Media
To schedule a meeting with us: https://salary.com/hrdlconsulting

For more HR Data Labs®, enjoy the HR Data Labs Brown Bag Lunch Hours every Friday at 2:00PM-2:30PM EST. Check it out here: https://hrdatalabs.com/brown-bag-lunch/

Produced by Affogato Media
47 min

About HR Data Labs

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Unlock the future of HR, today with the HR Data Labs podcast! Dive into transformative insights, expert interviews, and cutting-edge practices that empower organizations to harness their workforce’s…