Susan Richards – HR Tech 2024 – Building Confidence in AI Tools

Connect with Susan:

• 

Connect with David:

• • 

• david.turetsky@salary.com

• dwight.brown@salary.com

Podcast Manager, Karissa Harris:

• HRDataLabs@salary.com

 

Production by Affogato Media

Resources:

• Sapient Insights
• Salary.com Consulting practice
• HR Data Labs Season 8 Episode 17
• HR Data Labs Season 8 Episode 15

• “I believe there are a lot of compliant-related tasks that could be handled by an [AI model], and it could be done consistently, on time, and keep us out of hot water.”

Announcer: 0:01

The world of business is more complex than ever. The world of human resources and compensation is also getting more complex. Welcome to the HR Data Labs podcast, your direct source for the latest trends from experts inside and outside the world of human resources. Listen as we explore the impact that compensation strategy, data and people analytics can have on your organization. This podcast is sponsored by Salary.com, your source for data, technology and consulting for compensation and beyond. Now here are your hosts, David Turetsky and Dwight Brown,

 

David Turetsky: 0:38

Hello and welcome to the HR Data Labs podcast. I'm your host, David Turetsky, we are here at the 2024, HR Technology Conference in beautiful Mandalay Bay, exposition center in Las Vegas, Nevada, and I'm here with one of my good friend, Susan Richards. Susan, how are you?

 

Susan Richards: 0:57

Hey, David, how you doing?

 

David Turetsky: 0:58

I'm tired, but I'm good. It's been a very long show already.

 

Susan Richards: 1:03

And we're only 24 hours in!

 

David Turetsky: 1:05

Yes, I know well, but it ends tomorrow from the exhibition perspective, so it's a little bit of a bummer, but yeah, to me, it's really more than halfway over.

 

Susan Richards: 1:15

So we're packing in a lot in a short amount of time.

 

David Turetsky: 1:18

Oh, and it's a breakneck pace. It's really fast. So as you know, because you've been a guest on the show before, we always ask, What's one fun thing that no one knows about Susan?

 

Susan Richards: 1:31

Oh, so somebody asked me what my spirit animal was about a week ago, and I didn't have an answer for them, but I now have an answer for that question, and my spirit animal is an octopus.

 

David Turetsky: 1:48

Really?

 

Susan Richards: 1:49

Yes, yes.

 

David Turetsky: 1:51

Okay, so there's a lot of things to unpack here, but let's start with, is it because multitasking and?

 

Susan Richards: 1:59

Well, I think a lot of it has to do with with how an octopus is able to adapt to just about anything. They're problem solvers, they can make anything work the way they need it to.

 

David Turetsky: 2:18

Interesting.

 

Susan Richards: 2:19

They can adapt to whatever the environment is that they're in.

 

David Turetsky: 2:23

That's right.

 

Susan Richards: 2:24

And I spent about 30 minutes over the weekend observing the octopus at the Monterey Aquarium.

 

David Turetsky: 2:33

Really?

 

Susan Richards: 2:34

Yes, and absolutely fell in love because he went from this bright red color, and being very small to like extending his tentacles and moving around in the aquarium and changing colors from this bright red to this, this interesting gray color to almost a green color when he went into the kelp forest.

 

David Turetsky: 2:59

Wow.

 

Susan Richards: 3:00

And I'm like, that made a lot of sense to me.

 

David Turetsky: 3:04

So it's very funny you mention this because there was an article on Apple news just the other actually, it may have been today that says that octopuses like to boss around fish, and when they don't fall in line, they literally punch the fish.

 

Susan Richards: 3:21

I have seen that video, and I

 

David Turetsky: 3:24

That is fascinating.

 

Susan Richards: 3:25

I laugh out loud every time I see it.

 

David Turetsky: 3:28

Fascinating.

 

Susan Richards: 3:29

Absolutely fascinating.

 

David Turetsky: 3:32

But you still align with the octopus?

 

Susan Richards: 3:34

Well, I don't think, I don't think I've punched anybody recently, but, you know, I do like to tell people what to do.

 

David Turetsky: 3:42

Well, you are the boss for Sapient Insights, so, one of the bosses,

 

Susan Richards: 3:46

One of the bosses, yes, one of the bosses.

 

David Turetsky: 3:48

So you do get to do that!

 

Susan Richards: 3:50

I do!

 

David Turetsky: 3:51

But not the punch part.

 

Susan Richards: 3:52

No, I'm not going to punch anybody, unless they make me really mad.

 

David Turetsky: 3:55

It's good to know. Very good to know. And now, everybody who listens to the HR Data Labs podcast will know that as well! That's a good thing to know. Well, so let's transition to the now, the probably one of the fascinating things talking to such a amazing, brilliant person such as yourself, and no, I'm not trying to blow smoke. I really do hold not only all the people from Sapient in very high regard, but most especially my two best friends, Teri and Susan. But when you listen to even Stacey talk about the HR Technology Survey and whatnot, you learn so much, and I that's why I value the moments I get to spend with all of you. So obviously, if we look around the HR technology show, there's lots of themes.

 

Susan Richards: 4:46

A lot of stuff going on.

 

David Turetsky: 4:48

But one of the most important themes is obviously artificial intelligence and how it's impacting the world of HR.

 

Susan Richards: 4:54

Yes

 

David Turetsky: 4:54

Given that every single, literally almost every single booth here, except for Omaha state because they don't actually have AI.

 

Susan Richards: 5:02

Give them another year.

 

David Turetsky: 5:14

So the question that we wanted to ask, though, was the one that we have here, which says, How has HR tech evolved and transitioned, really, in the last year, year and a half?

 

Susan Richards: 5:26

Interesting question. And you know what we're seeing in in client with clients that we're working with and with the vendors that we work with, is, it's like, it's like the world of HR tech is expanding again. So, you know, I think we go through these cycles where you see a lot of innovation and lots of cool new organizations and cool new tech springing up because there are problems that need to be solved, and great thinkers and folks who can put things together and solve that problem.

 

David Turetsky: 6:07

And lots of energy and lots of money.

 

Susan Richards: 6:09

Lots of energy and a lot of money. We're not seeing as much money out there as we were a few years ago, but there's still money out there to be had. So you go through these cycles where there's a lot of innovation, and then those organizations get gobbled up,

 

David Turetsky: 6:26

Yes.

 

Susan Richards: 6:26

by our our friends who have been in the business for a long time.

 

David Turetsky: 6:32

Right

 

Susan Richards: 6:32

And as that happens, there's another cycle of innovation that starts to starts to spring up, right? And so what I have seen in the last year is more of that innovation around anything that is AI, and an energy around things that in the past have been like human centric and starting to see some of those things get automated or augmented. You know, seeing a lot of energy around, like coaching so, you know, better up was one of the the first online coaching platforms. We're now starting to see organizations like cloverly and hutrix spring up, where their assessment platforms and then using that data to nudge, um, nudge the client along to make behavior changes. So I'm really excited about this particular area. We love working with our clients who are doing leadership development and coaching. And how can we leverage some technology to make that process more straightforward and and get it farther into the organization, so it's not just at the top of the house anymore,

 

David Turetsky: 8:00

and I was going to ask you about services, because with all the technologies that are here, it kind of expects that all of the people that are going to buy this technology know how to implement it and implement it well. And it's not necessarily the case. And I'm talking more about the consumer side of that. You know, the company that buys the technology more than the company that is hiring, they're hiring to implement it, and the companies that are selling it. I'm talking about the people that need to get augmented on the on that consumer side of that, of that equation, because they don't have the people, and the people are doing their day job, right?

 

Susan Richards: 8:38

They're doing they're doing their day jobs,

 

David Turetsky: 8:38

Yeah, and that's the hole that I find in a lot of and that's one of the things that we found in our data this year in the HR Technology Survey, that services are incredibly important now that customer satisfaction level has gone down significantly. And it's not that the technology isn't performing. It's that the services around the technology are not meeting the needs of the client. More than ever, the client is expected to do way more with way less, and that's that's head count, and that's also budget. And you know, services are expensive, and if you've spent millions of dollars on the technology, you oftentimes are not thinking about how many more hundreds of 1000s of dollars do I need to spend on the services? ROI analyses, that they're not doing that extra step to make sure that they're ready and that they have all of the important either insight, or they have all the important, basically, experience to be able to make it work inside their environment.

 

Susan Richards: 9:50

Right, right! And we have to be really careful, because, you know, our sales people, and I love sales people, they're. One of the value propositions that a lot of our software sales people bring to the table is you're going to be able to do more with less.

 

David Turetsky: 10:04

Right

 

Susan Richards: 10:05

And, and that's no matter how many times they say it, we still fall for it!

 

David Turetsky: 10:10

Yeah.

 

Susan Richards: 10:11

And the reality is, you can do the same with less, but when it comes you know, when push comes to shove, you're going to be expected to do more!

 

David Turetsky: 10:22

Absolutely

 

Susan Richards: 10:22

And as your clients, or as your you know your users, learn more about the technology that you're deploying, there's going to be a pull for more.

 

David Turetsky: 10:32

Right

 

Susan Richards: 10:32

So the more you do, the more you implement, the more you roll out, the more you're going to be expected to do. And it is, it happens every single time.

 

David Turetsky: 10:43

Well, we fall for it! And it's the really great salespeople their pitches, and we use that as part of our ROI, we use it as part of our justification for buying the technology. And you know, to your point, we just fall in that trap every single time of, yeah, we can do this! And the sales person goes, yeah, yeah. You don't need to add staff, you don't need to get services. You don't have need to hire consultants to do this. We'll do it for you! Our professional services team will help you through everything.

 

Susan Richards: 11:11

Right, right. And and the professional services are great. A lot of times they they know a lot about the system that they're implementing, they probably don't know about your business.

 

David Turetsky: 11:23

Right

 

Susan Richards: 11:24

And that's where having a business advisor can go a long way out to help you sort out what is real versus what is smoke and mirrors versus you know what you need to do right now and where you need to put your priorities and what can go on the back burner.

 

Announcer: 11:43

Like what you hear so far? Make sure you never miss a show by clicking subscribe. This podcast is made possible by Salary.com. Now back to the show

 

David Turetsky: 11:53

But Susan isn't but that's all those professional services people. They're order takers, they're not consultants. They're not going to be able to ask you the question of, where are you going with your functions in the next five to ten years? Because when you implement this, it should have a lifespan for you. I mean, your license is for that long, or your your service contract. So, you know, don't you need to hire a services or a consultant, like Sapient or Salary.com, to be able to, or both, to be able to get through those implementations and make sure that they're actually achieving the goals that you'd set forward in the beginning.

 

Susan Richards: 12:28

A lot of times, yes, you could use those services. And the advisory services can be a light touch, or they can be a more significant touch to the to the project or the program. It's always good to get an independent third party perspective from someone that you trust. Somebody who's been there, done that has actually lived in the trenches. Who's that? Who has actually, you know, done the work of HR, or has done the work of payroll. And, you know, that's, that's why, you know, I love the work that that we do, because we can actually work with our clients and advise them. From the perspective of those of us who have been in the trenches with our clients.

 

David Turetsky: 13:24

And you do, and again, we don't sell on this program, this is all thought leadership. So this is thought leadership here. Sapient does selection through implementation, right?

 

Susan Richards: 13:36

Yes.

 

David Turetsky: 13:37

You help companies decide what's right?

 

Susan Richards: 13:39

Yeah. So we we use our research to help organizations figure out what what products are going to best meet their needs. We also do some work with clients around looking at things beyond just the technology. So you know, I can tell you what the top five products are in HRMS, and those top five products might not be the top five for your organization. So it depends on what's happening in your organization. What kind of culture do you have? What kind of IT strategy do you have, and where are you going? Do you need to be prepared to scale double what you are today or what you are tomorrow. So asking those critical questions can help. And then from an implementation standpoint, we're agnostic, and we're going to advise our clients on good practices for any sort of implementation. So things like making sure that you have a project manager on the ground, things like including change and the implementation, so that you do recognize that return on investment.

 

David Turetsky: 14:52

Right

 

Susan Richards: 14:52

And also looking at your processes. You know, so many times I've I've been in engagements where the the implementer says, How do you want this to look? And the the person on the other end of that conversation only knows what it looked like in the last situation, versus what would be great and what would take them forward into the next iteration.

 

David Turetsky: 15:19

Right. It's like taking the paper form from the personnel action change form and actually putting it into your system. Instead of saying, well, what's the possibility here? What could we do? Yeah, yeah. Remember the manila envelope that had the rarely really secure red thread that went?

 

Susan Richards: 15:38

Oh, yes, I love those red threads. Yes, yes.

 

David Turetsky: 15:41

Yeah. One of the other things that I typically will consult with people on is the data that gets kind of, I don't want to say it gets left behind, but, but a lot of times, people will just say, Oh, well, we're just going to port the data from the old one to the new one and not take advantage of some of the really cool new either strategies or features or the architecture of the new technology, like was the old one, a flat hierarchy. And now, can you do more of a stratified hierarchy? Can you do more matrix hierarchies as well?

 

Susan Richards: 16:17

Right!

 

David Turetsky: 16:18

You know, because that's that's kind of the new, a newer thing for systems to be able to accommodate. But you know, a lot of times they just know, we're just going to take it from there to there, and then we'll get to that eventually.

 

Susan Richards: 16:28

And it never happens. You never get to it. So you get in your new system exactly what you had in your old system. And I'll tell you, that's one of the things that is being uncovered in the move to artificial intelligence is, if my, if my data is garbage, then whatever model it is that I'm training is is going to give me garbage. So you know, for those organizations who are are

 

David Turetsky: 16:54

Absolutely. heading into the AI pool, get your data in order! And and take a look at what you have in your system, and ask the questions, does this really make sense? Does the way my data is organized meet the needs of my business. And not just HR, right, but my real clients, who are those managers and those frontline employees that are doing the great work of our organization. And dying for answers, and think about the crap that they're going to get if that data doesn't support the answers that they require.

 

Susan Richards: 17:38

Oh my goodness, that that would be awful. That would be absolutely awful.

 

David Turetsky: 17:43

And for those of you who don't or haven't heard the program before, we talk a lot about bad data, and it's unfortunate that hygiene isn't part of the normal data hygiene isn't part of how people run their HRMSes. But you know, we sing it from the mountain tops as much as we can.

 

Susan Richards: 18:03

Yeah, we, we launched a cohort recently for HR systems strategy, and are working with a lot of HR technology managers, leaders, folks who are in the trenches. And one of the first things that we talk to them about is making sure that they have good data. They understand their data. They understand where it's coming from, they understand how it's being used, they understand where it's going downstream, yeah, and and really map that data out and clean up what's what's not good.

 

David Turetsky: 18:42

Right.

 

Susan Richards: 18:43

Because if you if, if you do that, then it's going to give you a lot of the information about your current state, and also going to inform where your gaps are that you need to fill in order to get to that future state.

 

David Turetsky: 18:55

I know it sounds like a onerous process, but we like to talk about that in terms of data governance, and being able to build a good data governance strategy and have owners of of data and be stewards of the data.

 

Susan Richards: 19:08

Yes

 

David Turetsky: 19:08

So that the recruiters, you know, while they know they own the recruiting process, you know, somebody in the recruiting stream needs to be a good steward of the recruiting data.

 

Susan Richards: 19:19

Yeah, yeah.

 

David Turetsky: 19:20

And so forth.

 

Susan Richards: 19:21

And you know? And if you are a client that is on the front end of an implementation or a re implementation or an upgrade, it's a great time,

 

David Turetsky: 19:30

Absolutely

 

Susan Richards: 19:31

to take a look at your data. And if you don't have a data governance solution in place, go ahead and build one. They're not that hard. They're not that hard to build. They are hard to adhere to, but I'll tell you, I was, I was with the client last week, one of my old clients that I hadn't seen in years. They went live with a new platform about 10 years ago. They implemented data governance when went live good, and they have maintained it over 10 years. And so it's no longer a question of if they do it, it's who do I need to transition this to when I move into my next role. And it's not perfect, but it works a heck of a lot better than it did when they started.

 

David Turetsky: 20:20

It takes so much discipline.

 

Susan Richards: 20:25

and says, What do you mean we need to do an across the board 6% increase in order to get to market? I can back that up with not only the market data, but the data that we have inside, and I can stand behind it in a way that I might not have been.

 

David Turetsky: 20:52

Because you have confidence that the things that you've been doing support not only the data, not only the decisions, but that everybody understands that, because they now, they all are signatories to that data governance.

 

Susan Richards: 21:05

Right. They all have a hand in it.

 

David Turetsky: 21:06

Exactly, exactly, trust. I think that builds trust!

 

Susan Richards: 21:10

Yeah, yeah. And you know that's, that's that trust goes across a lot of different areas, not just within HR, but but throughout the business.

 

David Turetsky: 21:22

Hey, are you listening to this and thinking to yourself, Man, I wish I could talk to David about this. Well, you're in luck. We have a special offer for listeners of the HR Data Labs podcast, a free half hour call with me about any of the topics we cover on the podcast or whatever is on your mind. Go to salary.com/HRDLconsulting to schedule your free 30 minute call today. And so this is a beautiful part where we can now transition and talk about, how does HR utilize artificial intelligence to become more of an administrative assistant? And you know, you can talk about agents, we can talk about bots. We can talk about other things, because now that you have trust in your data, and you ask it certain things, it'll do it because the data is there and it's ready!

 

Susan Richards: 22:13

Right! And you don't have to go behind the agent and verify that all of that data is correct, because you know that it went in the right way. You've trained the model in the right way. You've utilized all of those years of experience, what that you've gained in the organization, and knowing what kinds of questions that your employees ask, so you're able to have a lot more confidence in transitioning that that what was tier one now to tier zero, really freeing up the time of the HR team to deal with all of those new questions that are coming in from the organization and the higher level inquiries. That now that we have good data, now that we have good systems, and now that we've exposed the organization to all the great things that we have to offer, the organization comes to us and and looks to us to be that business partner, to help them solve problems!

 

David Turetsky: 23:17

Absolutely. There's a old commercial in New Jersey from a Clothier called Sims, where Si Sims was the owner, and this is 100 year old clothing company, and he used to say that an educated consumer is his best customer.

 

Susan Richards: 23:38

Ah!

 

David Turetsky: 23:39

And I know it took a long time to get to that, so I apologize, but, but, but that, I mean, if you're in the New York metropolitan area, you might remember that, because it made you feel like I'm educated. I know what I'm looking for. I know, you know, I know how to buy a suit. I feel like I can go and see, you know, this is a great thread count. It'll look good on me. That's what they meant, right? And so in this case, now that we know the data, we know what we can ask it, we're now going to get brave and start asking it new things!

 

Susan Richards: 24:13

Right

 

David Turetsky: 24:13

Push it in new directions

 

Susan Richards: 24:14

Absolutely. And then we can train the model to advance with us, and I think this even goes back out to our vendors, our software vendors. So if our customers, our buyers, are educated, they they know where they are. They know where they're trying to go. They understand where their gaps are, and they know what questions to ask the vendors, and the vendors can be realistic with them, to say, yes, we can do this. And it's, you know, and and there's an extension for that. Let's have that conversation so that those service levels go back up to where they want. Where we want them to be

 

David Turetsky: 25:02

Well, and it's really hard to have those conversations when you're not being realistic, and you don't have that handle. And you go to a vendor and the vendor says, and I've never heard a vendor say this, I don't think you're ready. Your data is not in order, your processes aren't in order. You don't have a data governance strategy. Never heard that.

 

Susan Richards: 25:21

So that's where we can be really helpful.

 

David Turetsky: 25:24

Yeah,

 

Susan Richards: 25:24

Because we are that independent third party, we don't have a dog in the fight. We are interested in making sure our clients are ready and successful. And I know you guys are the same way. And if a client isn't ready, then we can have that conversation with them and give them that road map to how do you get there?

 

David Turetsky: 25:45

Right

 

Susan Richards: 25:46

And and work with the vendors along the way

 

David Turetsky: 25:49

Yeah, in our environment, it's like somebody as well. says, I want to get I want to become a pay equity certified company. I want you to do a Pay Equity Analysis for us. And the

 

Susan Richards: 25:57

Absolutely, it goes back to that whole consulting team will then start investigating their data and start looking at, do you have all these artifacts and blah, blah, blah, and then we'll have to be realistic with them about all the holes that we find, and then take those steps to remediate that before we ever go toward the oh, we see significant gaps that have statistical significance or not. So credibility conversation. Because if we don't, if we don't ask the questions, and we don't help fill the gaps, then when we get to our executive level with our analysis and our reporting, they're going to ask us those questions, and we're not going to have the right answers.

 

David Turetsky: 26:38

Because they're going to have to sign off on it. They don't feel comfortable that, that they've asked those questions, they're not going to sign off on it.

 

Susan Richards: 26:46

Of course not!

 

David Turetsky: 26:47

Yeah,

 

Susan Richards: 26:47

I wouldn't!

 

David Turetsky: 26:51

That was funny. So let's talk a little bit about those AI bots, though, and how do we get to the comfort level that they are doing what we asked them to do? Now I've talked a number of times today about agents. I've talked a number of times about bots. I've talked a number of times about just generative AI and you know, its place in an enterprise environment that fits for HR, that works for HR. What are you seeing in terms of how companies are adopting artificial intelligence with a focus on HR?

 

Susan Richards: 27:24

Yeah, there's a, there's a lot of AI already embedded in HR. There's there's a lot of automation that's already there. And client, sometimes clients don't even know it's there. So one of the, one of the first things is like, figure out what you have.

 

David Turetsky: 27:41

Right

 

Susan Richards: 27:42

Figure out what's already working, and then, and then, you know, dream a little bit, and figure out what it is that that you want to offload. What did, what is it that is, is time intensive, that could very well be automated, or something that that you could, you could do the same way over and over again, and not have to take up the time of a of a human to do.

 

David Turetsky: 28:11

See, do you think this is really being relegated to non value added repetitive tasks? Or are there no, no,

 

Susan Richards: 28:19

are compliance related that could be handled by a bot, by other AI functions. And it's done, it can be done very consistently. It can be done on time. It can keep us out of the hot water, of of you know, all kind, all kinds of opportunity to keep us out of hot water and do the things that I think of as hygiene in the HR function. It's the table stakes. It's the stuff that you gotta do. You gotta do it well. You gotta do it well consistently, right? Because when you screw it up, invariably, it's gonna get caught and you're gonna end up in, you know, in a situation where you're paying a fine or somebody gets fired.

 

David Turetsky: 29:15

Yeah, I'm thinking the use case in my mind right away, because I'm a comp dude is like minimum wage audit and making sure that the effective rate of pay for each person in every municipality around the US, for example, is, you know, meeting minimum requirements. Or, you know, I mean, that's, that's one easy one, but, you know, I'm sure that everybody who's listening is thinking, Hmm, I have a better one. You know, there's another example in my mind, but, but, Susan, let's, let's talk a little bit about that assistant, you know, the AI assistant that could fill in a lot of gaps that we've been dealing with, like, for example, for recruiters and being able to schedule, uh, interviews and,

 

Susan Richards: 29:58

yeah, as, um. Scheduling interviews, making sure that calendars are up to date and are cleared, grouping candidates into into cohorts for panel interviews, all kinds of opportunities there. I don't I don't want my bot screening my resumes, but I would be okay with them doing scheduling.

 

David Turetsky: 30:23

Yeah

 

Susan Richards: 30:24

I would be okay with them making sure that all the questions that we needed to have answered were captured and prepared.

 

David Turetsky: 30:34

Transcribed?

 

Susan Richards: 30:35

Yeah, absolutely! All the things that that I wouldn't have to worry about bias being introduced I always want to be really careful about, you into.

 

David Turetsky: 30:43

Sure know, training, of training our AI with the bias that we have as humans. That's another thing I worry about in our data, that a lot of decisions in the past have been so biased that, you know, especially from a pay equity perspective, or, you know, hiring or promotions, I worry that it's going to use the past as a you know, precursor for the future.

 

Susan Richards: 31:10

Right, right. And way to do that is, do the research, take advantage of all of the, you know, the opportunities that are out there to learn more about pay equity. You know, let's, let's, don't repeat the past!

 

David Turetsky: 31:30

Yeah, well, humans are really crap about repeating things from the past. So

 

Susan Richards: 31:34

We are, but hope springs eternal.

 

David Turetsky: 31:36

It really does well. And let's, hope that you know, when we start talking about the artificial intelligence world, that we're not just replacing people because there are costs. We're giving people the tools to be able to do more like you were describing before, value added activities that that enable them to do more better.

 

Susan Richards: 31:57

Absolutely, I have, I have a lot of faith in in the next generation. I think they're very creative, and I think they are going to come up with things that we would have never dreamed of.

 

David Turetsky: 32:13

I hope you're right.

 

Susan Richards: 32:15

I am!

 

David Turetsky: 32:17

Well, you're the one who kind of helped set how companies are going to be using this so hopefully they're listening to you, especially on this podcast. So Susan, thank you so much for being with us. You're awesome. I really look forward to every HR tech, because I get a chance to speak to you.

 

Susan Richards: 32:39

I love hanging out with you, David. You always make me think.

 

David Turetsky: 32:43

And you always make me learn. So thank you for that, and

 

Susan Richards: 32:49

We make a good pair!

 

David Turetsky: 32:50

Yes, we do, and we should get together more often!

 

Susan Richards: 32:52

I think we should!

 

David Turetsky: 32:53

All right. I'm gonna hold you that!

 

Susan Richards: 32:55

All right.

 

David Turetsky: 32:55

Thank you again.

 

Susan Richards: 32:56

Thanks, David.

 

David Turetsky: 32:57

Take care and stay safe.

 

Announcer: 32:59

That was the HR Data Labs podcast. If you liked the episode, please subscribe. And if you know anyone that might like to hear it, please send it their way. Thank you for joining us this week, and stay tuned for our next episode. Stay safe.