In today's digital landscape, the customer experience has become a make-or-break factor for businesses. Join us for an engaging discussion as we dive deep into the realm of crafting the ultimate customer experience, fueled by data and technology.
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All right, ready to rock and roll here.
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Excited for this one, this is gonna be fun.
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Today we're gonna be talking about this idea
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of kind of a data-driven delight.
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Seeing how we can craft this ultimate customer experience
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in this digital age and some of the keys to do that.
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For this session, I've got a friend of mine.
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Now I feel like I've known him for,
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you have these business friends that you know for a while,
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but it's been a long time since we've seen each other person,
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but his name's Jordan Katz.
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And he can talk a little bit about his background,
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but formally of Qualtrics,
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and at Qualtrics he was running
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all of this employee experience strategy,
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which the employee side I definitely wanna touch on today.
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But we actually worked together at Gal.
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So Jordan, really excited to have you on
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and how you doing, man?
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- I'm doing great.
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Thanks for having me on Gabe.
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I really appreciate it.
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Excited to talk about the intersection
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between understanding as much as you can
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about your customers and linking that
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to how you influence and understand
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how your employees behave,
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because ultimately that's the key.
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- Love it, love it.
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And Gallup's been a while, man.
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When we were there to get,
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that's not like 10 years ago, 12 years ago.
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Wasn't it 2010, 11, something like that?
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- You're making me feel super old right now,
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but it was, first of all, Gallup was a great place to work,
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a great place to train, really invested in who we are
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and the ultimate science around how do we predict
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what's happening now versus what's happening in the future.
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And I just found it to be a great place to be
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and it was really great working with you.
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I actually left Gallup and worked at Insight Partners,
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which is a large VC fund that invests only in technology.
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And from there, they moved me into the portfolio
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to work for a company called Qualtrics,
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which I, hopefully a lot of people are familiar with
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where I really, you know,
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productized a lot of the stuff that we, you know,
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spearheaded when we were at Gallup,
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which is the intersection between customer
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and employee research and customer and employee performance.
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So I'm excited that we've come full circle back
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to work together, back to be together,
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and we can talk about it more today.
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- Yeah, man, I appreciate you jumping on.
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So let's hit this topic, just big picture.
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What's kind of going on with this whole customer experience
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in the world today?
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Trends, thoughts, big kind of, big topics there?
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- Yeah, so there's a couple of things.
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First of all, customers, whether they be B2B customers
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or B2B2C customers, they know what great looks like, right?
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We've all been out in the world,
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whether we, in our personal lives are in business
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and had phenomenal experiences,
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even in places where, that surprised you, like the DMV.
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I'll tell you a story about that sometime.
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But we know what great looks like,
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so that when we see something or we experience something
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that's mediocre or even bad,
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whether it be with a live agent or a face-to-face person
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or a chatbot, like that hits extra hard.
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You know what I mean?
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On the negative, right?
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And so the trend towards personalization,
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towards consumer-grade types of experiences,
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even in the business world, even in business to business,
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is rapidly picking up speed.
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And it's, I think, very valid,
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because if great exists and we're running a company
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and we're having interactions with our customers,
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we want to hit great.
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We don't want to settle for mediocre.
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And our customers know that,
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and luckily, the data plays out
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that while it can be inexpensive or resource-heavy endeavor,
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the greater experience on the positive a customer has,
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the more likely they are to increase wallet share,
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usage, retention, right?
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They pay you back in time.
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The issue is, at the same time,
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we're also moving more towards automation, right?
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A myriad of reasons, scale and volume and cost and all that stuff.
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But oftentimes automation, chatbots,
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you know, technological solutions,
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they don't always have, make, you know,
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a fully satisfactory experience occur.
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And we've already, I've already just touched on how negative,
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you know, a non-optimal experience can have.
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So the blending and the melding of
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how do we understand what's going on in the minds
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of our customers with how do we craft
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the most optimal automated solution
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while still layering in a person-to-person solution?
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Is like the golden path,
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but it's also the hardest thing to do
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'cause there's too many variables to control, right?
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- It really is, it's like, that's nice to talk about,
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but to do, that's pretty tough.
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No, but I like that, that's a good framing.
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And let's dive into that then,
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because I know as you were at Qualtrics
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and some of the stuff you were doing,
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the clients you've experienced,
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and truthfully at Gallup,
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it's probably been the last decade or so,
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but you've had this unique opportunity
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to see and coach consult aid,
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these different companies trying to kind of find
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that balance using technology and data
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and the right personalization.
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So I'd love to hear some of the things
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maybe you found helpful as these companies went on this journey
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to try to get to that ultimate customer experience.
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Where did you typically start?
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What was one of the keys you found
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to help those companies do that?
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- That's a great question.
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So first of all, I always start with the outcome
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in mind, the end of mind.
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And I think that's something that we're trained on at Gallup,
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which is where do we wanna go with this?
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Is the goal to take share from our competitors?
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And so it's like wallet share or whatever from the customer.
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Is the goal to increase usage?
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Is the goal to convert non-customers, right?
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So starting with the end of mind
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and understanding the KPIs which we're gonna hit
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is critically important.
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And most people then go back to like here,
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which is like what's going on with our customers?
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What do we know about our customers?
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Hopefully they also say,
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what do we know about our non-customers, prospects
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and things that are lost customers?
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But that's like half the story.
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You know what I mean?
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That's like a half measure.
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The key and why I was successful at Gallup,
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why I think you were successful,
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why Gallup was successful in that time period
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where we were there.
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And then subsequently why Qualtrics is successful
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is because the real answer is going all the way
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to the front end of the organizational lifecycle,
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which is the moment of potential candidate
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looks at a job advertisement.
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And is that job advertisement
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fishing in the right pool of talent?
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Is it attracting people who are more like your best people?
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Is it repelling people who are less likely
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to be top performers?
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And the way we define that is,
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are these people that we're investing
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and bringing into our business family?
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Able to do the things that our customers ultimately want,
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love and will delight them, right?
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And lead to that optimum performance.
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And then when we get them on board,
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are we managing them to optimum performance,
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helping them work, learn and grow,
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reach the heights and deliver on the promises
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that we've made to both them and our customers?
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And I'll tell you what, there's hard ways to do that
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and there's easy ways to do that.
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The hard way is to get in a room and think about like,
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"Hey, what ideas do we have as a leadership team?
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"Who are we gonna hire?"
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And all that's the easy way,
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it takes a little bit of work on the front end,
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but the easy way is to leverage data.
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To understand the recurring patterns of thoughts
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and feelings and behaviors that people have
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on the employee and the customer side,
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match that with like transactional data.
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Did our employees reach their quota
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or hit their customer service targets,
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are they retained, et cetera?
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Are customers spending money with us?
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Not being super angry or that high-end bs.
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And then trying to find the key correlates
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or the key drivers between or behind great employee
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experiences and performance
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and great customer employee experiences and performance.
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And where those things overlap,
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those are the things you can hang your hat,
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allows you to create that profile
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of the great type of hire, nowhere to fish for talent,
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no how to manage people.
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But then also leverage technology and data
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to know exactly what's in the minds of the customers,
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the metadata around the customers,
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not just how they transact or what they transacted,
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but what they prefer, what their sentiment is,
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how they're interacting with you or your chat bots
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or whatever, and serving that up to your employees,
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that allows you great people that you've hired
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and worked so hard to get to execute
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on the best possible performance.
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So yes, it takes some effort on the front end
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to gather that data and smush it together
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and have good thoughtful people who can run those analyses.
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But then once you've got that going,
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it's that flywheel of great experience
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and great information that allows everybody
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to do their best work.
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- I love that framing.
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It is challenging though to get the data
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and kind of get into those details.
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Is there any advice, I mean,
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you actually gave some pieces of info
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you might want to garner,
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but any advice on companies trying to take this data
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to the next level because it's in disparate systems.
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It's sometimes hard to not need it.
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It feels like the army of people to manage, you know,
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ways you found people to kind of start that down that journey
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to make it simple, easy and actually impactful.
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- Absolutely, so yeah, that's a great call up
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because there are a couple of elements
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that make it harder and a couple of elements
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that make it easier.
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So on the one hand, you know,
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listen, Qualtrics is a great company,
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a great place to work.
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And one of the things that made Qualtrics so great
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and allowed us to have such great performance
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was a focus on the key outcome metrics.
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Like what truly drives our business forward
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to reach 40% growth or whatever, you know,
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the growth targets are.
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And every company should know what their key metrics are.
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The final outcomes, like why are we in business?
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If we don't, you know what, that's an effort worth
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engaging it.
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The other thing that you mentioned
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is all these disparate systems,
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but they also have disparate owners, right?
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People who are in charge of maintaining those systems
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and making sure that data is good
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and making sure it works properly.
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And so there's an element of culture too
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that you can leverage within an organization.
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And the cultural element there is really of like cross-pollination
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and teams that maybe they're not in the same vertical,
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but they work together and collaborate.
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And if the culture is of collaboration,
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you don't have the situations that we've all experienced,
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which is like you call somebody up and say,
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"Hey, I am running this analysis.
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I wanna create this strategic initiative.
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I'm working on X, Y, and Z project.
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I could use some data out of your system
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and you can either get the no problem,
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let's go through it and pull it out
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and integrate it with what you're doing,
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or I'll put it on the roadmap for three months from now.
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You know what I mean?
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- Totally.
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- And so if you create a culture of transparency
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and cross-vertical collaboration,
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then you're much more likely to have that answer that is,
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"Yeah, let's figure out how to make this work."
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And that oftentimes is something that gets,
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you lead from the top in that regard.
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- It does, I mean, it makes a big difference
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having that leadership aspect really focus
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on what you wanna do and what you wanna be.
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Do you feel like you obviously specialized
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a lot of this employee side of the house,
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how it drives the customer engagement?
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And look, there's a lot of focus on AI
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and there's a lot of focus on tools,
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and we've just talked a little bit about those,
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but sometimes we forget the people side of it,
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and ultimately customer service in a lot of cases does,
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and will always probably require some version of the human
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to intercept in some form or fashion.
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How will you coach companies on that aspect
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to find that balance between technology and employees,
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but also to make sure that the employees are ultimately
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engaged and ready to rock and roll
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so they're delivering that kind of world-class experience?
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- Yeah, great call out.
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I mean, if I see technology as an accelerator, right?
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We're nowhere near the point where technology
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is a replacement, right?
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We do have--
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We're just not, we all, they clickbait articles.
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It's like AI will replace the president
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of the United States.
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Probably not, that's probably not good.
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- And you know what, if, listen,
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if AI can replace me, that's great.
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I'm tired, I wanna relax, that's right.
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You know what?
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- About what I want to know.
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- That AI is never making it to the beach with me.
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You can't do that, I got two legs and a beach towel,
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I'm gonna fill out.
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Anyway, no, but it's really an accelerator.
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And, but having said that, it can be a decelerator as well.
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And what I mean by that is employee technology experience
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is equally important as customer technology.
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We've got UI people, user interface and experience,
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people who focus so hard on customers
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and make just these beautiful apps and portals
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and interactions and like, going to a website now
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is a completely different experience with 3D and, like also,
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but if we don't, so every person, every human being
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knows what that is, right?
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And knows how good it can be.
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And then you sit down in your chair at work sometimes
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and you like open up a green screen from 1988,
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you know, and your Matthew Broderick playing more games
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and you're like, why is this so slow and bad?
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And I swear, if another customer service rep
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puts me on hold while their computer unfreezes,
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I'm going to scream.
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I mean, I know they're working on other customers stuff
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and that's not really, whatever, that's a digress.
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Anyway, the point is, if we can turn our focus,
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if we can be selective in the technology that we acquire
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and administer internally, it doesn't have to be
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consumer grade necessarily, but it can't be 1988
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green screen anymore.
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That said, we're at a point now where you have the ability
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and as technology acquires, you have the ability
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to select tools that really, really help employees crush it.
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I mean, just having the appropriate amount
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and automatically served metadata about the customer
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that you're about to talk to, puts you so far
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beyond most experiences that customers are going to have
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and surprises and delights them in a way
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that it feels like they're having an interaction
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with someone they actually, that they know
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and that knows them, right?
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And like, I'm very fortunate to, I'll give you two examples,
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I'm very fortunate to get to travel a lot for work
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and so I have top tier United status.
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And when I call United, right, because of that status,
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they pick up and they, without a long hold, they say,
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"Hello Mr. Katz, are you calling about your flight to Seattle?
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"Are you, it looks like you have a middle seat,
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"can I get you an aisle seat?"
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It's like, before you even ask them questions, right?
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'Cause I'm probably calling about something else entirely,
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they're already providing like strong personalized service.
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Yeah, right?
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And I'm using United Airlines as an example,
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'cause like traditionally airlines have low end customer service.
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Then the other one is like the DMV.
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No one talks positively about going to the DMV,
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but my daughter turned 15.
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And so it went to go get a driver's permit,
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or learner's permit, right?
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And you expect to, I was like, girded everybody like,
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"Okay, we're gonna wait a line for an hour,
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"they're gonna like not care about you."
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No, that was exactly not the thing.
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They found out that she was there for their learner's permit,
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they like made a big deal about it, took the picture,
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like a grandulator, you gotta take a little test,
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you took the test, they applaud it.
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Like it was a completely different experience
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that I expected, right?
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And that most people probably expect
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from the Department of Motor Vehicles.
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But the culture there must be something different,
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and the leadership must be something different than you expect.
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And because I was expecting such a bad experience,
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and it was so good, it made it so much better, right?
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And there's like these places where,
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you know, unexpected surprises occur,
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make things great, and let's say you have a company
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where you already make things great, that's fine.
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Just keep serving up the great insight,
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keep personalizing, and like the more you surprise
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and delight people, the better.
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And you know, the employee element of that
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getting up and feeling good about that activity
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is like, you know, pretty key to the backbone of that.
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- I love it.
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So Jordan, to kind of wrap on this,
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you know, a lot of companies trying to find this balance,
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you know, that you kind of framed up perfectly at first.
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We hit a bunch of different topics,
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what would be kind of that summary or that thing
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you'd leave behind for,
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it's obviously a tough environment,
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people are trying to find this balance,
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yeah, they do need to win,
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'cause ultimately, you know,
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companies gotta grow to succeed.
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Anything you'd kind of leave them with as we close.
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Yeah, so like, just as much as you need your company to win,
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you need your employees to win,
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or feel like they're winning.
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And nothing feels less good to an employee
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than ambiguity and uncertainty.
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And nothing feels worse in that regard
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than being yelled at or being challenged by a customer
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or having customer ask tough questions
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and you're completely unprepared, right?
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And you're not unprepared because you're not preparing,
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you're unprepared because you're not given
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the resources that are at the level
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that you could have at this moment.
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And right now at this moment in, you know,
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Q4 of 2023, you absolutely can have technology
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that catalogs all the information
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and intelligence about every customer,
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synthesizes it up in a way that gives your employees
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the right tools and right information
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so that your employees can execute
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on the best form of promise between your company
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and your customers.
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Appreciate your time.
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Fun top track about customers and employees
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and with that we'll kind of wrap
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in which everyone a fantastic day.
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Thank you.
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41:53
(upbeat music)
42:13
(upbeat music)
42:33
(upbeat music)
42:53
(upbeat music)
43:13
(upbeat music)
43:33
(upbeat music)