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From Fear to Curiosity: Leading a People-First AI Transformation
Episode 6031st March 2026 • Future Proof HR • Thomas Kunjappu
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In this episode of the Future Proof HR podcast, Jim Kanichirayil sits down with Katee Van Horn, Chief People Officer at Web Pros, to explore what it actually looks like to lead a people-first transformation inside a fast-moving, globally distributed organization and what happens when you layer AI on top of it.

With team members across more than 51 countries and a growth strategy built heavily on acquisitions, Web Pros has had to solve some of the hardest problems in modern HR: aligning cultures, integrating teams, building consistent onboarding at scale, and maintaining a shared identity across vastly different ways of working. Katee brings a grounded, operational perspective on how to navigate all of that without losing sight of the people in the middle of it.

Together, they dig into what it really means to shift the narrative around AI from fear to curiosity, why reskilling existing talent almost always beats hiring from outside, and how the SDET and QA role at Web Pros became a real-time case study in workforce evolution. Katee also makes a compelling case for why listening, not just as a practice, but as a discipline that drives action, is the foundation of any successful transformation effort.

This episode is a candid, practical look at what it takes to lead transformation the right way, where people aren't an afterthought to the strategy. They are the strategy.

Topics Discussed:

  • Aligning culture and ways of working across acquisitions and global teams
  • Building scalable onboarding and just-in-time learning in a remote-first environment
  • How AI is reshaping the SDET and QA function in real time
  • Reskilling over replacing: why developing existing talent is the smarter long-term play
  • Human in the loop vs. human in the lead and when each applies
  • Why listening exercises only work when they drive action
  • Applying agile thinking to transformation: iterating instead of overhauling
  • The five principles for executing a people-first AI transformation

Additional Resources:

Transcripts

Katee:

anytime AI is brought up, and I think right now this is very true,

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:

again, in a lot of organizations,

it brings excitement, but also

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skepticism because there is this whole.

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Hey, is this gonna replace my job?

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And so it's about having conversations

around, no, it's not replacing

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your job, but it could change it.

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And we get to shape what

that change looks like.

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We get to talk about what

should this look like in.

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Not our current environment,

but our future environment.

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Speaker: What do you think of when you

hear the phrase people first technology

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transformation in the age of ai.

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Other than, it's a big mouthful, you're

probably rolling your eyes at the

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phrase, because we've seen it before

and I'm sure we'll see it again, where

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plenty of people have thrown out those

buzzwords and the reality is vastly

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different from the theory of that phrase.

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What have we seen when

we're talking about.

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Technology transformations

in the age of ai.

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Usually it involves some CEO who is out

of touch with what's going on in this

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organization laying out an edict saying

that we're gonna be an AI first company,

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and that's often followed by a bunch

of people getting laid off, and then

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whoever's remaining is told that they

better be thankful that they have a job.

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That's what we've seen.

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That's what catches headlines.

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So the question becomes, is it

even possible for you to execute

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this sort of transformation?

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In the age of AI and still be people

first in terms of culture and execution.

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That is the question that we're gonna

answer today, and the person that's gonna

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help us answer it is Katie Van Horn.

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So what's Katie's story?

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Well, Katie is a global HR executive

who specializes in developing strong

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leaders, fostering inclusion and guiding

organizations through complex change.

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And she's the Chief People

Officer at Web Pros and a co-host

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of the Inclusive AF podcast.

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She brings thoughtful people centered

leadership to every conversation

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and our work centers on helping.

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Teams grow, connect,

and lead with intention.

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And the story that we're gonna

talk through today is about

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how she set the foundation for

executing a people first technology

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transformation in the age of ai.

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Jim: Katie, looking forward

to this conversation.

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Welcome to the show.

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Katee: Thanks for having me.

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Jim: Yeah, I, I think it's gonna be a

pretty interesting conversation because

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the overall theme of the conversation is

how you execute a people first technology

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transformation in the age of ai.

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That's a lot of words, and oftentimes

those things don't go well together.

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In fact, they're often in opposition.

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So I think the first order of business

is for you to give us a view into the

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landscape of the organization and what

you're navigating from a day-to-day basis.

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Katee: Absolutely.

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Thank you for having me.

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My name is Katie Van Horn.

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I'm the Chief People Officer for Web Pros.

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And right now we're in a, an interesting

moment at Web Pros, and I think a

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lot of companies can say the same.

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we've had years of acquisitions where

we've built this team of incredibly

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smart, incredibly passionate

team, and they're worldwide.

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We have team members in over 51 countries.

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And this year the focus is really

about becoming that one web pros.

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So making sure we're thinking

about culture systems.

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Ways of working and continuing to move in

a very fast paced high, high opportunity,

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sometimes high chaos environment, and

making sure that we're having that

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meaningful team member experience globally

that's consistent, but also focusing on

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what are the outcomes and what are the

things that we're trying to achieve.

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So regardless of whether you're

in Houston, Barcelona, Mumbai,

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Cologne, Sofia, wherever it is.

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We're working on really big problems and

really big stuff, and that's energizing,

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but it's also, it's a lot of work.

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And then layer on top of that, how is

AI actually helping us or harming us?

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Jim: So I wanna set aside the AI part

of the conversation for a little bit

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later because some of the other things

that you're describing are challenging

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in and of itself because when you talk

about an organization that's global,

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that's distributed, you're talking

about aligning culture, and I think

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there's a portion of the company

growth that involves acquisition.

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All of those things are challenging if

you're just tackling 'em one at a time.

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So tell me about how you have navigated

the process of aligning, given

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those variables, give us a little

bit of detail in terms of what the

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infrastructure looks like that's helped

you do that successfully to this point.

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Katee: I think for us, really,

it's about making sure that we are.

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Always focused on those

partners and customers first.

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So when we have acquisitions,

thinking about what is the product

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impact, what is the customer impact?

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And then from there, also thinking

about what is a team member's impact?

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So making sure that they have

a similar experience to either

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what they've already had.

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Or enhancing it and hopefully enhancing

it when they come into Web Pros.

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So really looking at what is that bigger

picture of what does this addition by

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acquisition mean, and then what does

that mean to the team overall from a

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structure infrastructure perspective.

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It's also about aligning.

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Teams as quickly as we can to their

actual work product that they're doing.

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So if we're bringing in a new

engineering team, aligning it to the

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current engineering team as quickly

as we can in the right way though

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to make sure that everyone is able

to learn more, grow their skillset.

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But also, again, as quickly as we can

bring that product onto our platforms

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or what, however, we're going to set

it up to make sure it's right and it's

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right for the customers and partners.

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Jim: So I like your example that

you're talking about bringing on

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development teams as quickly as

possible and aligning them through the.

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Product.

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The thing that I keep thinking about

is when you're talking about a globally

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distributed team and you're talking

about aligning dev teams across the

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globe, in service of delivery of a

product, that's easier said than done.

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So tell me a little bit more about

how you've set up systems for success

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to allow for faster integration,

faster alignment in a globally

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distributed employee landscape.

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Katee: Absolutely.

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there are so many challenges that

we always are looking at when

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we're bringing in an acquisition.

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And I will pull aside that regional

differences, those language differences,

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those ways of working differences.

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And even just talk about, the engineering

or coding languages that are being used.

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Could be different.

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Could be something that we have to bring

people up to speed or change how we

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have, worked on products in the past.

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And, for me and for my HR team,

it's really about thinking of who

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are those additions to the team.

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And what I'd like to do when we're having

acquisitions is meet with the executives

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to say, what's great about your culture?

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What's great about the way

that you all work together?

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not so great?

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So bringing in the things that will

be additions and will be helpful,

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but then also making sure we don't

bring in stuff that isn't great.

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And an example of that, is there

might be something in the culture

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that the team says, we, are very

cutthroat or we, don't look out for

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each other, whatever it might be.

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Hopefully that won't ever be an

acquisition that we do, but it's possible.

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And so looking at that and going,

how do we keep that out and make sure

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that doesn't come into our culture.

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But then also when we look at those

regional differences and ways of working,

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the example I can give you is, we have

teams that are, that were based in

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Russia, we've relocated them to Bulgaria,

but they have a very much a top down.

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The leader says, this is the

way we're gonna do things,

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and that's the way it's done.

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And so shifting the way that they

worked to say, okay, we're all in.

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We're in this together, we're

all contributing, and how

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are we making sure that those

contributions are actually impactful?

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And again, the right thing

for our product, for our

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customers, and for our partners.

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Jim: So when you describe all of that,

what comes to mind in my head, especially

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from the perspective of alignment to

culture, is that a lot of this stuff has

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to be picked up, asynchronously and on

your own as far as a learning perspective.

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So how have you set up the

organization to allow for easier?

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I guess onboarding or enculturation,

across these teams that have

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vastly different ways of operating.

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Katee: We have done a

lot of different things.

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So the onboarding process that we've put

in place and it's an iterative process so

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it's not perfect and there's always gonna

be challenges and we're always learning

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new things, but we've set up something

that we can have, just in time training,

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we can have do it at your own pace type

training where people can learn a little

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bit more about Web Pros and all of our

products and all of the things that we do.

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We've also really focused on

culture and how do we create this,

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what we call one web pros culture.

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That is who we are, and it's

really about our identity.

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It's about our values.

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It's about making sure that people

are working in the same way if they're

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not working in the same way, how do

we work in that async environment to

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say, Hey, you might work this way and

this other team's gonna pick it up

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and run with it, in a different way.

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how can we keep in communication

and keep everyone in the loop?

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And really the key there is communication

and making sure that everyone

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knows what's going on at all times.

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So using the tools at our disposal,

JIRA, slack, et cetera, to make sure that

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there's a lot of communication and a lot

of back and forth between product teams,

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marketing teams, engineering teams, et

cetera, to make sure everyone is aware

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of what should I be working on today?

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But then also, what's that bigger

picture we're trying to address?

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Jim: So I like that.

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I think, I think the big things

that stand out in what you just

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described is that you're putting

your processes in your system.

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and accounting for

different modes of learning.

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You're also putting in scaffolding

or guardrails that allow for ongoing

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self-correction so that if you need

to course correct, very quickly,

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you have that in place as well.

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and then the other part that I

like about what you just described

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is that it seems to be a regular.

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Part of the process to have mission

alignment and big picture conversations

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are always front and center, so you

stay aligned in terms of the direction

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that you're going, on an ongoing basis.

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So that's really good stuff.

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So the foundation's there, and

you're already talking about.

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All of these things in the context

of a complex, globally distributed,

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acquisition oriented environment

with aligning multiple cultures.

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Now add the AI layer onto it.

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So when you add that on top of it, what

sort of challenges popped up that you

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didn't anticipate when you're adding

the AI component into that culture?

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Katee: I think time, anytime AI is brought

up, and I think right now this is very

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true, again, in a lot of organizations,

it brings excitement, but also

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skepticism because there is this whole.

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Hey, is this gonna replace my job?

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And so it's about having conversations

around, no, it's not replacing

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your job, but it could change it.

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And we get to shape what

that change looks like.

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We get to talk about what

should this look like in.

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Not our current environment,

but our future environment.

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And also how do we think about

AI as a remover of friction?

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Automating some of those repetitive

tasks and making sure that we're

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really improving based on what

we learn, what the outcomes are.

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so it's not about replacing

people or replacing.

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Anything.

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It's really about how do we extend the

cap, the capabilities of our team and the

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capacity of our teams, and making sure

that we're trying to be very transparent.

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We don't always get it right, but

trying to be transparent about the shift

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from fear to curiosity and making sure

we're really being thoughtful about

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how do we frame up how AI can be used,

and also using guardrails in AI to

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make sure that we're doing the right

things and being thoughtful about.

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If a human is touching

it, what does that mean?

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And if a human isn't touching

it, what does that mean?

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So really being thoughtful about how do we

shift the narrative between, hey, this is

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gonna take my job to what does it mean and

how can it enhance what I do every day?

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Jim: So I like the framing, or at

least the the changing of the mindset

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where you're having people rethink

what their job might be in the future.

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But wanna hit rewind a little

bit and think through this

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from a business perspective.

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Oftentimes when you have organizations

that have international or globally

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distributed teams, there's a certain

calculus in that people strategy where

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you have people located across the

globe to get, gain an advantage on.

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your payroll.

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the numbers are the numbers 'cause it

might be, more cost effective to hire

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staff out of, Eastern Europe or wherever.

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There's that calculation

that comes into it.

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Now you add AI into that equation

and AI is marketed as, oh, this is

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going to wipe out entry-level work or

repetitive work, for a lot of people.

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So when we're thinking about.

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a use case where AI could be used,

I could think of a scenario where

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on a dev team and you add a layer

of ai, the QA function disappears.

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So I'm sure there might be QAs

or SDETs across the organization

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that are sitting there thinking.

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this is all great and all, but with

AI in here, I'm gonna be out of a job

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no matter what the marketing says.

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How do you respond to that sort

of concern that might exist

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out there in the workforce?

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Katee: So I, we are, we're responding

to it in real life right now.

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That's absolutely a real life

example of something that, that

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we're being challenged by right now.

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and the focus and the way we've approached

it is really to shift this SDET QA role.

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Into more of an engineering and

a coder role to make sure that,

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again, it's about developing

people and growing their skillset.

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So it's not, you're not gonna have a

job, it's how does your job change and

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how does it differently in the future

to make sure that you are improving your

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skills and doing what you still love to

do, which is getting into the code and

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figuring out what the code is doing.

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But from a different perspective.

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But it's also about building engineers

to think about quality, to think

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about how do I test what I'm doing?

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How do I make sure I'm thinking about.

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This from a QA perspective

as I'm writing the code.

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So it's a shift in not just the SE

role and the QA it's also a shift

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in the engineering role to say, Hey,

engineer, you're not gonna have four

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people behind you looking at every

a, line of code that you write.

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You're gonna have to really be thinking

about this as you're writing your code

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yourself and testing it and making

sure that you're, doing peer coding

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or doing different ways of thinking

about this from a QA perspective.

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yeah, that's a hundred percent

a real life example of what

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we're going through right now.

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And I think from a, where do we find

the talent and, you can find these

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entry level roles in other countries.

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I would push back on that a

little bit because I think we have

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highly skilled workers in a lot

of the countries that we're in.

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So it's not about, Hey, we're gonna

put the low level work in other places

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because we're finding amazing talent.

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Whether that's engineers, marketing,

whatever it might be, all over the globe.

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It's about really leveraging the

skill sets and making sure that

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those skills are relevant to what

we're trying to achieve, regardless

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of where they sit around the globe.

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Jim: So that makes sense.

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I wanna get into the philosophy a little

bit because if when we're talking through

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how the job of an engineer changes the

job of an SDETS changes, I start thinking

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about competencies of people that end up

in that space, and right now I'm trying

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to fight the urge to nerd out because

as a IT recruiter, this is like the

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stuff that I would talk about because

QAs from a competencies perspective

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are supposed to have the wiring that

demonstrates attention to detail, which

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is a core component of being a good QA.

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To be an effective developer,

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you index towards run

fast and break things.

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I'm oversimplifying in, in, in large

terms, but the, where this philosophical

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component comes in is, I'm always wired

to build teams that each individual

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on the team plays to their strengths.

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And what you're describing is, developers

now have to pay more attention to the

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things that probably drain their energy.

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So what I'm thinking about as we talk

through this is you have elements of

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each job's function that's gonna change.

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Some of those changes means that

they're not playing to their strengths,

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but actually working more on their

weaknesses, which could be an

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energy drain for a developer or a QA

depending on who you're looking at.

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So how do you bridge that gap where

it you're actually having to reshape

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to some level how people are wired

in order to meet the demands of what

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this new future of work looks like.

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Katee: So I'm gonna answer

this a couple different ways.

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So I think, when we think about the

future of work, for me, it is about

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an evolution and that's for all of us.

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you as a recruiter, have you changed

the skillset that you had from day

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one of being a technical recruiter?

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Of course, you've evolved, you've learned

new things, you've learned to technology,

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you've kept up to speed on what are the

things that will impact who I recruit,

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how I recruit, all of these things.

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And so I think there is gonna

be that shift, and I would hope.

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That every person wants to develop

their skills and wants to grow.

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Now, when it comes to playing to

your strengths, of course, we want to

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make sure that we're thinking about

that and keeping that in mind and

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looking at the competencies there.

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Yes, there are different competencies

that are required for the different

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roles, but I also think that's

part of the shift that engineers.

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Will want to, and do want to focus

on how do I make my code even better?

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How do I make sure that it is

accurate, that it is all these things.

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And we're also forcing them a little

bit to yes, run fast, but also

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check in on what you're writing.

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'cause we don't want anyone

writing stuff that's not going to

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be able to be used in real life.

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The other piece to it is that, I think to

say that, This is a drain on their energy.

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I think that's also just the shift

that we're trying to achieve is how

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do we make sure that we are supporting

them in learning and growing and

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developing so that it doesn't become

such a drain that they're not able

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to function in that core role.

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So looking at the competencies and

looking at who is the right candidate,

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who are the people that we're trying to

really target when we go out and hire

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to look for that person that is more.

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Evolved, or a person that can

evolve and can grow into that.

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Now, are you going to have those hardcore

engineers that need to go into a room

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and write code and not think about qa?

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Of course.

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And that's where you have a blend of

people on the team to make sure that you

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are successful in what you're trying to

achieve and what you're trying to build.

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From a QA perspective, this is also,

I liken it to the US and the us.

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we have had so many conversations

over the years of, and this'll go

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back in time a little bit of, Hey,

you're no longer a coal miner.

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You need to go learn computers, or you

need to go learn whatever skill set it

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is, because we no longer have that role

as a thing in the United States anymore.

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And that's a global viewpoint

as well, that some of these

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jobs just will become obsolete.

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And so retraining, reskilling, upskilling

people and giving them what they need to

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develop those skills to grow those skills.

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And we've actually seen some great

upskilling of talent from that SE group

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that they have been excited about.

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Let me learn how to actually write code

or to look at code and think about code

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differently than I have as a QA person.

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There's a couple of layers there too.

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the answer where it's

not just a, you're right.

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Hey, we're just, Hey, this is

your new thing that you're gonna

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do and good luck and God bless.

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No, we're gonna, give them the tools

and make sure that we have, supported

342

:

them in their growth and their

development, because this role won't

343

:

be a thing anymore in this future

environment that we're working in.

344

:

Jim: So I was gonna get annoyed with

you because you started talking about,

345

:

hey, sometimes you need to go find

those people that fit the new profile.

346

:

And as somebody who's done

their research on, retention

347

:

and turnover, I was gonna get.

348

:

annoyed because it's always more expensive

to bring people into the organization

349

:

than it is to develop your own.

350

:

But then you've mentioned the

part about, Hey, we are, we're

351

:

investing in development.

352

:

So tell us a little bit more about how

development plays a bigger role now in

353

:

terms of your overall talent strategy,

especially when you're figuring,

354

:

out how AI impacts talent strategy,

and also where your talent needs to

355

:

develop to get you to the next stage.

356

:

Katee: Yeah, it's, again, it's a

multi-layer approach where, we have

357

:

training, of course our learning

and development team who are helping

358

:

people just to learn how to write code.

359

:

We're using things like Udemy and

other tools just to give them the.

360

:

Core basics of how do you go

out and learn a new coding

361

:

language or that type of thing.

362

:

But it's also about doing things like peer

coding and having them work with engineers

363

:

every day that they have already worked

with these folks and have relationships.

364

:

So they're able to be more vulnerable, to

say, how do I learn this new skill set?

365

:

How do I grow my skills in this

area that haven't been something

366

:

that I've done in the past?

367

:

And Being able to give them that

opportunity to develop the skill sets,

368

:

giving them tools such as training,

like truly training modules, et cetera.

369

:

But then also giving them the

opportunity to say, I don't

370

:

get this and I need more help.

371

:

Ask their manager, talk to their manager.

372

:

And I think it's a lot about, again, that

conversation around development, building

373

:

out the development plans, having the.

374

:

Vulnerable conversation of, I don't

get this or this doesn't make sense

375

:

to me, where they can work with their

manager and get other tools and other

376

:

resources to help them if there is an

area that they're just not getting.

377

:

Jim: So tell me a little bit more about

how you've baked in this development

378

:

mindset across the employee lifecycle.

379

:

Katee: So we're really

looking at each role, what the

380

:

competencies are for that role.

381

:

So we've developed, we started with kind

of a career framework overall of what is

382

:

the career framework, what does it look

like to be an engineer, 1, 2, 3, 4, 5.

383

:

Then we have now started to really

focus on those competencies and

384

:

aligning competencies to the role

to say what are those skill sets?

385

:

What are those competencies that someone

needs to become a great engineer or

386

:

a great marketing person, or whatever

it might be, and aligning those

387

:

competencies to really say what can we

do and also what level of competence

388

:

do you need at what level of role?

389

:

being an HR person, you might not

need coding languages or you might

390

:

not need certain competencies.

391

:

But obviously you do

if you are an engineer.

392

:

And so looking at all of that and

looking at that competency framework,

393

:

then we're able to develop specific

training that's targeted to what those

394

:

competencies are, giving them tools.

395

:

And not to say, not to, I am

not a spokesperson for Udemy.

396

:

but giving them things like Udemy

and other courses to say, how do I do

397

:

this and how do I learn this skillset?

398

:

then also talking about

our specific products.

399

:

We have a platform that we're building

out, and it's a work in progress to

400

:

really go deep into what is this product?

401

:

How does it work?

402

:

How does the partner or customer use it?

403

:

All of these pieces so that people

can dig in, even if it's not their

404

:

role to go out and build the thing, be

able to sell it, be able to talk about

405

:

it, be able to learn more about it.

406

:

It's a lot of different tools and

support that we're giving them.

407

:

And the biggest thing though is

that manager alignment, that manager

408

:

conversation and open discussion

with their team member to say, I

409

:

get this, or no, I don't get this.

410

:

And there's also, there

always is the opt out.

411

:

if this isn't something that someone wants

to do or they're not comfortable, then

412

:

we look at, okay, what other role might

be available inside the organization?

413

:

And.

414

:

sometimes it's, there isn't a role

in the organization, and then we

415

:

talk about what is a respectful and

professional exit and all that good

416

:

stuff, and make sure that we're being

thoughtful about keeping that person

417

:

safe and whole as they exit the company.

418

:

Thomas Kunjappu: This has been

a fantastic conversation so far.

419

:

If you haven't already done so,

make sure to join our community.

420

:

We are building a network of the

most forward-thinking, HR and

421

:

people, operational professionals

who are defining the future.

422

:

I will personally be sharing

news and ideas around how we

423

:

can all thrive in the age of ai.

424

:

You can find it at go cleary.com/cleary

425

:

community.

426

:

Now back to the show.

427

:

Jim: So when I hear all of the

things that you're saying and

428

:

compare it to what we've often seen

and heard out there in the media.

429

:

Oftentimes when an organization is going

hard into the AI space, it's usually some

430

:

CEO passing down an edict about we're

gonna be AI first, and oh by the way, X

431

:

number of people are gonna get fired and

that the rest of you better be thankful

432

:

and proving your worth every single day.

433

:

All of this talk about development

and investment and training.

434

:

Runs counter to those narratives

that we've heard, far too often.

435

:

Where did that come from?

436

:

Because if I am A CEO who is not

aware or not deep in the ai, I would

437

:

be sitting there and thinking, oh.

438

:

This is an efficiency play.

439

:

We can get rid of a bunch of people and

pat our bottom line and not have to worry

440

:

about continuing to invest in training,

development and all this other stuff.

441

:

So your approach sounds completely

different than what we typically

442

:

see in the headlines out there.

443

:

What's the root of that?

444

:

How did that philosophy

come to take shape in this?

445

:

Katee: So I'm going to first say that

I think yes, CEOs have looked at this

446

:

as an efficiency play, and we've seen

how that has played out very recently.

447

:

And, at Google you can see how that

played out and so I think there's

448

:

that piece that we are keeping

in mind and we have such deep.

449

:

Knowledge of our products within our

teams, that it's actually to our benefit.

450

:

much like you mentioned earlier, to train

someone versus hire a new person that

451

:

doesn't have that product knowledge or

that, Knowledge, historical knowledge of

452

:

what has happened with the product, how

the product works, all of this good stuff.

453

:

And we are in the hosting industry

and thinking about how the

454

:

hosting industry has evolved.

455

:

And so there's a lot of different pieces,

and I think it's a combination of the two.

456

:

I don't think it's, oh, we're

gonna train everyone up and they're

457

:

all gonna be perfect at AI in a.

458

:

We do, we have also brought in some

amazing experts in the AI space and

459

:

folks that can bring the rest of the

team up to speed on some of these topics.

460

:

But we're also doing things like opening

up Slack channels and opening up spaces

461

:

where people can go out and test new

AI tools, test what's going on, try

462

:

and learn, how does AI impact my job?

463

:

And giving them different

ways to think about this.

464

:

So yes, you could say we

can save money short term.

465

:

But I think the longer term smarter

play is develop what you have and

466

:

build on what you already have, because

they have that historical context

467

:

and that knowledge that you can't

replicate bringing in a new person.

468

:

Jim: So there's, there's a

component of what you're describing

469

:

that, that I'm curious about.

470

:

and we're gonna get into the

Phil philosophical side again.

471

:

So part of what we hear often when

we're talking about AI is this

472

:

conversation about human in the

loop versus human in the lead.

473

:

when you look at what you've done

from a people strategy in service

474

:

of this transformation, what's the

mindset internally that's driving this?

475

:

Is it in the loop or in the lead?

476

:

Katee: It's both.

477

:

it, it's a, I won't use the, the yes

and but it is a little bit of a yes.

478

:

And because the human in the loop, it's

really that oversight, making sure we're

479

:

being inclusive, making sure we have

the context, making sure that, we are.

480

:

Thinking about all the right things.

481

:

Human in the lead for me is more

like that strategic direction,

482

:

that strategic judgment.

483

:

How do we make decisions?

484

:

How are we thinking about decisions?

485

:

So it's really that force multiplier, if

you will, of, humans are still driving

486

:

and they're still the folks that are.

487

:

Determining how do we think

about different things.

488

:

But when you talk about basically

humans in the loop, this is I think,

489

:

more of those repetitive tasks where

oversight is needed and it's more

490

:

of the keeping things on the rails.

491

:

and then human in the lead is more that

strategic focus and making sure that the

492

:

judgment of why are we doing something?

493

:

Why are we making certain decisions?

494

:

the why behind it is really

leading more of the conversation.

495

:

Jim: so you're in the process of making

this transformation and there's probably

496

:

a lot of other things that, that you

haven't discovered yet, but at this point

497

:

in your transformation effort, what are

the things that came up that caught you

498

:

by surprise that you didn't anticipate?

499

:

Katee: So I'm gonna say that

caught our leaders by surprise.

500

:

because I think one of the things

that it's really taught our leaders

501

:

a lot is that listening first is

such a key component of leadership.

502

:

So truly understanding.

503

:

And, I think leaders at a high

level understand those pain points.

504

:

They understand what the challenges

are for their teams, but listening to

505

:

their team members to hear a little

bit more about What would help you

506

:

from a tool or capability perspective?

507

:

Then I think that the second one is

designing around what is the workflow

508

:

or what is, what are, how does this

work today and how could it work better?

509

:

So it's not forcing new workflows, it's

designing around the current workflows

510

:

and using the tech to accelerate it.

511

:

Using real people in this conversation.

512

:

I think it's not a, we're gonna go

off and do AI and then we'll come and

513

:

deliver it to you and you'll use it.

514

:

It's testing, it's iterating, it's having

conversations about how does AI impact us.

515

:

And again, this is also where we're

finding mistakes or issues or concerns.

516

:

'cause it is, we wanna make sure

that we're testing and saying, is

517

:

this tool, is this way of working?

518

:

Is this workflow right?

519

:

Looking at that.

520

:

But then I think, the other piece is not

looking at one person to be the hero.

521

:

Looking at how all of us can

be better and how can we all

522

:

grow and develop our skillset.

523

:

and then, I think it's technology

as the enabler, technology,

524

:

as the tool, not technology.

525

:

Leading the charge.

526

:

People still need to be involved.

527

:

People still need to be in front

and center of the conversation.

528

:

So those are some of the

learnings that we have had.

529

:

So myself plus the leader.

530

:

So it's not been, oh, HR is

going off and doing this thing.

531

:

all in it together and

we're all focused on it.

532

:

So it's about, even looking

at tools that have rolled out.

533

:

In the universe and in the industry

of, oh, this is an AI tool that

534

:

every developer should be using.

535

:

Going on and testing it and going,

yeah, this isn't for us, and saying,

536

:

that's not something we're gonna use.

537

:

That's not something

that works for our teams.

538

:

So making sure that the tools solve

the problems we have based on the

539

:

listing conversations, based on

what we're hearing from our team

540

:

members, and then making sure that it

actually in real life works for us.

541

:

Jim: So I like how you mentioned,

listening first as a key pillar in

542

:

part of your transformation efforts.

543

:

I think the problem that I have with

that as just a general buzzword is that

544

:

organizations do all sorts of listening

exercises and then a fall over because

545

:

they don't really act on what they hear.

546

:

So tell me a little bit more about what

you heard in those listening conversations

547

:

that shifted your assumptions and ended

up driving action across what you heard.

548

:

Katee: I 100% agree with that sentiment.

549

:

And I always talk about this in,

being a traditional HR person, in a

550

:

lot of ways, the comment I've always

said to leaders, if we can do any

551

:

type of engagement survey, we can do

all kinds of conversations and listen

552

:

to people if we don't act on it.

553

:

means nothing.

554

:

and also people are gonna

quit telling us things.

555

:

and I think that's such a key tenet

to any team and any leadership.

556

:

And a hundred percent for hr, don't

do an engagement survey unless you're

557

:

gonna actually take action on it.

558

:

And I think the same thing

applies here is that, have to.

559

:

Act on what you hear and the act

can be, thank you for that feedback.

560

:

We're not gonna go in that direction,

but we definitely, appreciate that

561

:

you shared that and here's why we're

going in a different direction.

562

:

I think it's having the conversation

listening and then from there, making

563

:

informed decisions on how we take action.

564

:

And those listening sessions come

in a lot of different, it can be

565

:

one-off conversations as you're.

566

:

Stopping into an office for a visit.

567

:

It can be in meetings.

568

:

You hear something that you're like,

tell me more about why that's not working

569

:

for you, or where the friction is.

570

:

So leaders I think are doing a

better job and team members are

571

:

doing a better job of asking where

are those pain points so that we can

572

:

discover, okay, here's this friction.

573

:

How do we solve it?

574

:

Is it something that we

can get a tool to do?

575

:

Is it something we need to

change in how we work together?

576

:

Whatever that might be.

577

:

so I think there's a.

578

:

And a piece to this.

579

:

That's just however you can get

the information from the team

580

:

members, but that trust and that

continuous feedback loop happens

581

:

when you actually take action.

582

:

And so I don't know if I answered

your question, but I think it's

583

:

a matter of, you can get the

information a lot of different ways.

584

:

For me, I've always been someone that

likes to go sit with people and have

585

:

conversations in this environment

where we are in 51 countries.

586

:

That makes it a lot harder.

587

:

But however I can get the information

and even when it doesn't feel

588

:

great, and when I'm, it's, Hey,

hrs not doing a great job of this.

589

:

I still wanna hear it so I

can fix it or try to fix it.

590

:

Jim: So what I like about what you

described is taking the listening

591

:

exercise and using it as an opportunity

to not only act, but also acknowledge

592

:

what you're hearing from the audience,

because that actually helps, employees

593

:

feel seen and heard about their concerns.

594

:

What I'm curious about is when you go

through any transformation initiative,

595

:

you have some assumptions in your head

about what you want to tackle first.

596

:

What I'm wondering is.

597

:

When you take that listening

exercise, at what point should you

598

:

shift those priorities based on what

you're hearing from the audience?

599

:

Is there a threshold that needs to

be met to reprioritize some of the

600

:

sequencing or theory that you had

going forward in the transformation?

601

:

And if so, what should that threshold be?

602

:

Katee: So I, I'm very much a proponent

of testing and iterating on any process.

603

:

And I don't think it's a, oh, here's

the threshold and then that was

604

:

the thing, or this is the thing.

605

:

I think it's more a matter of taking

in what you're hearing and pivoting,

606

:

even if it's just a small pivot.

607

:

if you're talking about, Hey,

we're gonna throw out everything

608

:

and start from scratch again.

609

:

That's a different conversation, but

I think if it's just, Hey, we need

610

:

to iterate, or Hey, let's shift this

slightly, or Hey, maybe this, I'm gonna

611

:

use the competency concept, Hey, maybe

this competency isn't something we

612

:

need for someone that's a new engineer,

or that's coming into engineering.

613

:

so I think it's a constant

iteration and priorities.

614

:

I'm not silly.

615

:

I'm, I know that priorities are

constantly shifting in organizations.

616

:

I think it's listening to, again, what

are our customers and partners saying

617

:

that they need and driving from there.

618

:

That's the first piece.

619

:

But I don't think there's a,

oh, here is the point when we

620

:

have to, throw everything out.

621

:

It's more a matter of let's continue

to iterate and make adjustments.

622

:

And it's almost, when you're in a.

623

:

a scrum, development environment that

you're looking at, okay, we did this

624

:

sprint, here's our retrospective on

that sprint, and here's what we're gonna

625

:

change for next time, or what we might

add to the next sprint to make it better.

626

:

So it's looking at that kind of, i,

I hate using the idea of like agile

627

:

development, but being agile and how are

we working and how are we making sure

628

:

that we're doing what we need to do.

629

:

So it's a maybe, slight pivots or shifts.

630

:

But I don't know that it's a,

we're gonna throw everything

631

:

out and start from scratch.

632

:

It's really just priority shift

depending on, what might be going

633

:

on in the world, in the external

environment, all of these things.

634

:

Jim: So I think, I'm actually glad

that you brought in the concepts

635

:

of agile development and those.

636

:

Principles and the concept of a sprint

because it triggered something in my head.

637

:

When you're looking at any sort of

transformation, you don't have to

638

:

go into it thinking that you have

to eat the elephant all at once.

639

:

You have the opportunity to break

everything down into bite-sized pieces

640

:

and see what works, test it, and

iterate from there, which I think.

641

:

We all know that intuitively from,

a change management or a project

642

:

management perspective, but oftentimes

we look at the big picture and we think,

643

:

holy cow, that's a really a big rock.

644

:

How do we actually move it?

645

:

And the key is to break it

down into smaller pieces.

646

:

So I think that the fact that you brought

in the development principle, especially

647

:

agile development principles, that

helps put the right context in there.

648

:

I want you to zoom out and I want

you to think through this process of

649

:

transformation that you've been on.

650

:

And we've put it under the umbrella of how

you execute a people first transformation,

651

:

and you're still in the process of that.

652

:

So when you think through what

you've done so far, what are the key

653

:

things that you've picked up that's

helped you move closer to success and

654

:

execution that you didn't realize,

on the front end of this initiative?

655

:

Katee: Oh God.

656

:

There's been a ton of things.

657

:

So I think one of the pieces, and

this is the future proofing, Future

658

:

proofing our entire industry.

659

:

And what we're looking at is when

we think about the skills that

660

:

are needed for now and for the

future, they might not be the same.

661

:

And making sure that when you're

looking at historical roles, you're

662

:

not just saying, oh yeah, those are

the competencies and we're done.

663

:

You're really going, what

do we need for the future?

664

:

I think doing a skills gap analysis of

who do we have on the team now and who

665

:

are we going to need in the future?

666

:

back to that whole idea of who

can we train and upskill, and then

667

:

what do we need to go out and buy

or, bring into our talent pool.

668

:

and also thinking about that in terms

of being thoughtful about not waiting

669

:

for the crisis point, but moving on

this sooner rather than later so that

670

:

we are prepared and ready to make this

shift and make this transformation.

671

:

I think.

672

:

Scalable learning is a big one because,

the traditional concept of going to

673

:

a classroom for a week, learning,

whatever skill that doesn't work in a

674

:

remote first environment, and it doesn't

work in today's environment either.

675

:

You can't have people.

676

:

Off their role for two

weeks to go do a training.

677

:

So really thinking about scalable

learning and just in time

678

:

learning, making sure that we're

our leaders to be able to advise.

679

:

Make sure they really can

help and support the team.

680

:

then also I think, making sure that when

we think about internal mobility and we

681

:

think about developing our team members,

we're really thinking about what are

682

:

the right pathways and where can they

go next and how do we develop them?

683

:

And then I think most importantly,

on my end, looking at the data,

684

:

what is working, what you know,

what feedback are we hearing?

685

:

are those engagement survey results?

686

:

What are the performance trends?

687

:

All of these things that, we need

to do as HR leaders and just making

688

:

sure that we're really in the data

and analyzing the data in such a way

689

:

that it gives us informed information

to take back to the business to say,

690

:

here's what we need to do now and next.

691

:

Jim: Great stuff, Katie.

692

:

I'm sure there is a ton more that we can

get into, and I'm sure there's gonna be

693

:

a lot of people that are interested in

continuing the conversation with you.

694

:

What's the easiest way for

them to get in touch with you

695

:

to continue the conversation?

696

:

Katee: Thank you for asking.

697

:

So I'm on LinkedIn, Katie Van Horn.

698

:

Katie is spelled with two E, so K-A-T-E-E.

699

:

LinkedIn is my probably preferred

method for you to get ahold of me.

700

:

I'm also the co-host of the Inclusive

AF podcast with Jackie Clayton.

701

:

you can find us on all podcast

platforms, so you can check us out there.

702

:

so those are probably the

easiest ways to get ahold of me.

703

:

Jim: Awesome stuff.

704

:

So I appreciate you hanging out with

us and, sharing your journey and your

705

:

thoughts specifically related to the

transformation that you're going through.

706

:

When I think about this conversation,

this entire conversation is nested

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:

under the umbrella of how do you

execute a people first technology

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:

transformation in the age of ai.

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:

And when you hear that phrase or

hear that question, a lot of people

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:

might just think, those are two

different things, it's not possible.

711

:

And you've demonstrated that it's an and

statement, not an OR statement, which

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:

has come up throughout this discussion,

but if I'm looking at the key principles

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:

of what's necessary to pull this off

successfully, there are five things that

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:

I think are worth noting if you're trying

to do this yourself in your organizations.

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:

I think the first thing and most

important thing is to listen first.

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:

You might have your own theory

about how this is supposed to

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:

be pulled off, but that theory.

718

:

Is divorced from the

impact at the front line.

719

:

So it's important to go through

that listening exercise so you

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:

gather the necessary information

to make an informed decision.

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:

The second aspect that I think

is important, and this holds true

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:

for any transformation initiative,

is to test your assumptions.

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:

You have a theory.

724

:

You've heard from the crowd, you've

heard from frontline employees.

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:

Be prepared to test the assumptions

that your theory is built on, because

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:

if you aren't willing to do that, don't

even bother with the listening exercise.

727

:

The third element that I think

is important is to pressure

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:

test what's really important.

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:

You might have an idea and

people might have an idea of

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:

what we need, what we don't need.

731

:

Understand that hasn't met the market yet.

732

:

So test it out and iterate based on

the data that you get and from the

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:

exercise of actually executing the

things that you want to execute.

734

:

The fourth thing, and especially when

we're getting into the area of how you do

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:

this from a people first perspective, you

need to demonstrate your commitment to

736

:

the people on the team, and that starts

from leadership and works its way down.

737

:

So that shapes the conversations

that you have at each level, and it

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:

gets down to the one-on-ones that

you have at the employee level.

739

:

If you're not demonstrating commitment

to their success and their development.

740

:

The transformation is gonna take a

completely different tone than the

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:

intent that you want, want it to take.

742

:

And then the last piece of it is

that you demonstrate your commitment

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:

by investing in development and training

because you're never going to solve this

744

:

by hiring from outside the organization.

745

:

You could theoretically do it, but

it's gonna cost you an arm and a leg.

746

:

So if you want to do this

in a people first way.

747

:

You have to invest in developing

your people and helping them shore

748

:

up the gaps that they have as they

transition into this new world of work.

749

:

So there's a lot more than that just

came out in this conversation, but those

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:

are the things that stood out to me.

751

:

So I appreciate you sharing that with us.

752

:

For those of you who've been

listening to this conversation,

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:

we appreciate you hanging out.

754

:

If you like the discussion, make sure

you leave us a review on your favorite

755

:

podcast player, and then make sure

you tune in next time where we'll have

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:

another HR leader hanging out with

us and sharing with us what they are

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:

doing to future proof their landscape.

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