WEBVTT

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We are going to revisit our topic from last week,

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which was try versus buy. It's too good. We didn't

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go deep enough. We did make it to 20 minutes

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though. So that was impressive. But the thing

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that I want to talk about this week is really

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around try versus buy and how simple consultants

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have made it to buy. with showing very little

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impact unless you're selling opium by way of

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McKinsey, by way of doctors, by way of nefarious

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practices. Chris, I recently saw an article.

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God, I wish I would have flagged it. They were

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talking about the billions of dollars that Fortune

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500 companies spend on things like digital transformation

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or strategic reset. All of these things as a

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consulting industry, we're bringing in people

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with very low context that don't understand the

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complex mechanics and they're creating beautiful

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PowerPoints or they're introducing powerful dashboards

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of data. that are superficial, right? Because

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the audience is this executive. And executives

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are rewarded for growing. The rewards, show me

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what somebody's rewarded for, I'll tell you where

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their attention goes. Oh, 100%. Consulting does

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a really powerful job of feeding that need to

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have something to present up. So talk to me about

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how there's something more in your mind. It struck

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me that this is such a recent piece. because

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it's literally a multi -billion dollar industry

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just talking about what could happen or should

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happen and not making it happen. I think it's

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really interesting. It's probably why I will

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never be an executive because I want accuracy.

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Yeah. I want accuracy. I want results. I want

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people to, when they say that they predict something,

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I want their prediction to be validated. Like,

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what's your confidence level? And, you know,

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I saw a meme on Instagram about, you know, ask

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Chad GPT to create a Mackenzie slide deck. and

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then analyze the words that that McKinsey slide

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deck would get and you end up with synergies

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and optimizations and all these big words that

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sell really well. It's a really good story. And

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the side benefit is if McKinsey doesn't do well

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or Boston Consulting doesn't do well, it's not

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your problem. Right. It's like the best way to

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pass the buck. It is. You can vilify them and

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then you can hire them into a different functional

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area tomorrow. Yeah. And you have a different

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team from the same. Correct. Well educated organization.

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Correct. Yeah. No, it's, I think, you know, this,

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the idea of the culture of buy versus try, I

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think some of that has to do with how long are

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we invested within this organization? Oh yeah.

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And so if I was making a 40 year commitment to

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a company. Sure. then I wanna leave everything

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I touch at least a little bit better than I encountered

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it. Because I'm gonna reap the rewards multiple

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times, right? Investment rule of 72, if I do

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a 10 % improvement, then the value of that's

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gonna double in seven years. And so as I move

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through an organization, leaving things better

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than I found them pays both me and all of my

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collaborators that I'm working with for the next

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30 years, it pays us dividends. But if my career

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is two years, or if I'm measuring in quarterly

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increments, those try investments that take time,

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a series of experiments, a series of refinements,

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those don't happen in 90 days. Well, the other

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interesting thing is like, I'm going to think

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about like new employees, right? So you hire

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a new employee, right? They're impressive. You've

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never heard their stories before. You don't know

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their strengths or weaknesses. You know, and

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generally you get someone who's at, you know,

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who's a competent professional, they will be

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very competent and kind and have some EQ, but

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it takes a while to understand the strengths,

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weaknesses, the good, the bad, and the ugly,

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because we're all humans trying to do our best,

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right? Yeah. And so the best triers are going

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to be the people that know where to try. And

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maybe it's as simple as if you're an executive,

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you don't even know where to start. Yeah. So

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it's easy to start with synergies. Transformation.

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Transformation. Impact. More hay -owl. We need

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more calabino. Leverage. Scale. It's interesting

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because what you described, and I think today's

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hiring process, is pretty abrupt. And if I think

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about hiring a new resource, we have some screening,

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maybe I have some technical acumen, periods of

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interviews, maybe plural. I have some EQ, cultural

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fit within that team, not necessarily within

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the company's DNA, but usually just at a team

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level. But in general, I would dare say most

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hires happen within... you know, four to six

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weeks unless there's HR reasons that it's slowed

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down. So you've essentially spent maybe, I mean,

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at least personally, a lot of my interviews,

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both as an employee, but also as a consultant,

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it may only be an hour or two of interview and

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I made an offer or I'm asked for a proposal.

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Yeah. And the funny thing is like that offer

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could be early in your career. It could be 50

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grand later in your career. It could be 150 grand,

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could be 300 grand. And basically all I'm being

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offered, I'm not being offered a career. I'm

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being offered paycheck. I was talking with a

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friend today over lunch and she is a really brilliant

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chief HR leader. And I was saying to her, earlier

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in my career, I almost, I was interviewing and

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I was offered a job as an actuary. I am not the

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kind of introvert or statistic table Nazi that

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would have been an awesome actuary. I would have

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been a distraction. to everybody I worked with

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and an annoyance to leadership. I would have

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certainly been fired within the first year for

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not getting what they needed. But what's interesting

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was when they were asking me about what I wanted,

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what I didn't say but was 100 % true is I want

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a paycheck. I have bills to pay and you're furthest

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along the process and I have an urgent need to

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cover my costs. But as we get later in our career,

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hopefully, we kind of discover who we are and

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what we're about. And so I was saying to her,

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today, I have a paycheck. I have a lot of learning

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as well. So I'm not looking for a paycheck. What

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I'm looking for is a purpose. And I'm looking

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for a sense of fit. And I'm looking for value

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alignment. Is this an opportunity for me to show

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up and do something I'm really passionate about?

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Or is it just a paycheck? I think in the spirit

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of the buy versus try, so many organizations

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today, it's a consumerism transaction when we're

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hiring. We're not asking, is this the kind of

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person that reflects our DNA? Do we have our

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values aligned? Could they potentially become

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part of our leadership and contribute to our

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overall health over the course of 10 to 15 years?

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I don't think we're thinking in that longer line,

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and it takes a long time to become a good trier.

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and develop that deep knowledge of how an organization

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actually functions. Well, you've talked about

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your time at Nike in kind of their heyday, in

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which they basically, it was part of their culture,

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that they kicked people to other parts of the

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org. Like it was 18, it was 18 months stints,

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if I remember correctly, and they would basically

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go and they would learn this other thing. Like

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imagine like the wealth of knowledge that you

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get by bringing other stuff, other things, like,

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and I've thought about this a lot, like, Would

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love to be a consultant if you could start me

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as a new as basically a new hire and Train me

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how to do something because I guarantee you four

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weeks in I've got 25 different problems solved.

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I guarantee it Because you have fresh eyes and

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experience Correct. Yeah, I like give me give

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me four weeks in any job I will I will basically

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have all sorts of things for you to solve right

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and you know That's a try. Yeah. Right. That's

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that's putting your boots on, putting your gloves

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on and going to work. Right. Whereas it feels

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like. You know, maybe maybe I'm missing something

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here, but most consulting just feels like it's

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a flyby of what could be and, you know, of the

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flavor of the month. And so a couple of years

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ago, it was blockchain. You know, blockchain

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had zero value. So we created crypto. It's been

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great. You know, now it's gen AI, right? What

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is gen AI? Define it. Good luck getting a good

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answer from many people. They will, or getting

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one flavor of an answer and that like, look,

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AI is nuanced. Like an LLM will, it predicts

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the next word. And so if you can, if you understand

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that you're going to be better off versus just

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thinking it's magical. You're like, no, it's

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just. It's a writing machine. It's pretty, like

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I'm not complaining. No. Well, I think what's

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interesting is that if we think about the script

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of how a business operates, you know, or like

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notes on a page of sheet music, it's not just

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the notes that matter. It's the white space in

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between. You know, your comment, I love that,

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that Nike story stuck with you. What I was so

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impressed with was when they took people that

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were, had a pretty good social EQ and were inherently

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curious and were collaborative and they started

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to move them around, they started drawing connection

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across all the white space between these teams,

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between geographies and they call them product

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engines. But for any business, we have all these

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different service lines. somebody can spend an

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entire career in just one piece of the business.

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And it means that the depth of their relationships

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is shallow and they don't have context outside

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of their area. And so from a cultural health,

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I found that to be extraordinarily powerful because

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all of a sudden it's not just empathy you have

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because you're familiar with what your counterparts

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are doing, but you also know who to call to ask

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for that tri -level of insight. So that's super

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powerful. Last week you touched on something

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and I want to go back to it because I don't remember

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the specifics, but there were a handful of things

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that if I wanted to hire or cultivate triers

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in my business, what are some of those characteristics

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of how I might identify somebody that's prepared

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to try, that's going to take the time to really

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unpack and invest in building something that's

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more long -standing versus just throwing up some

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quarterly results because they expect to be shopping

00:12:02.960 --> 00:12:05.820
for a new job in two to three years. I mean,

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I would consider myself a trier. And if I go

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back to my career, my biggest successes have

00:12:15.000 --> 00:12:18.659
always been just being curious and just being

00:12:18.659 --> 00:12:22.639
like, well, why does it work that way? And specifically

00:12:22.639 --> 00:12:26.120
in handoffs, I've been ridiculously lucky in

00:12:26.120 --> 00:12:29.409
just figuring out why does department a do this

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thing and department b do something else or system

00:12:31.750 --> 00:12:34.330
a do something and system b do something and

00:12:34.330 --> 00:12:35.889
you're like there seems to be something amiss

00:12:35.889 --> 00:12:41.929
here or or i just i just expect more um i i you

00:12:41.929 --> 00:12:45.289
know um when i i used to work at bodybuilding

00:12:45.289 --> 00:12:48.549
.com yeah you know these are audio so you guys

00:12:48.549 --> 00:12:51.250
won't know this but i am totally jacked just

00:12:51.250 --> 00:12:53.740
kidding not jacked Oh no, I was in operations.

00:12:53.799 --> 00:12:56.059
That was the only non jacked department at buddy

00:12:56.059 --> 00:12:59.559
building. Anyway, um, you've got your marketing

00:12:59.559 --> 00:13:01.340
guy. You didn't get the supplements that everybody

00:13:01.340 --> 00:13:03.620
else got the marketing guys. You're like, oh,

00:13:03.720 --> 00:13:06.860
they're pretty over there and all the operations

00:13:06.860 --> 00:13:09.539
are like, we've, we've had too many beers or

00:13:09.539 --> 00:13:13.620
something. I don't know. Anyway, uh, but when

00:13:13.620 --> 00:13:15.840
I was there, we, we, we were shipping stuff from

00:13:15.840 --> 00:13:18.860
different warehouses and we had, we would ship

00:13:18.860 --> 00:13:23.029
stuff from the wrong warehouse a lot. And then

00:13:23.029 --> 00:13:24.809
when we went and looked to what was shipping,

00:13:25.009 --> 00:13:27.049
it was always like our most popular product.

00:13:27.429 --> 00:13:31.830
It was optimum chocolate whey. And it was just

00:13:31.830 --> 00:13:33.750
baffling people. They just could not figure it

00:13:33.750 --> 00:13:35.690
out. And I'm like, well, why does it ship from

00:13:35.690 --> 00:13:37.710
the wrong warehouse? It's like, well, we were

00:13:37.710 --> 00:13:40.730
missing that product, whatever the product was,

00:13:41.870 --> 00:13:43.570
in the warehouse that it was supposed to ship

00:13:43.570 --> 00:13:46.379
from. Right. So it might be ordered in LA. Correct.

00:13:46.539 --> 00:13:48.879
And it's being sourced or shipped out of New

00:13:48.879 --> 00:13:51.340
York. Exactly. Exactly. Like specifically, you

00:13:51.340 --> 00:13:53.980
order it in Oregon. It comes from Pennsylvania

00:13:53.980 --> 00:13:56.940
because it didn't have some sort of ketone, something

00:13:56.940 --> 00:13:59.720
or other. And so I'm over here in the corner

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raising my hand and saying, hey, you know what

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would be awesome? I'll tell you what would be

00:14:02.919 --> 00:14:06.700
awesome. Just tell me the item that you expected

00:14:06.700 --> 00:14:11.120
to be in, you know, the West Coast, DC. Yeah.

00:14:11.299 --> 00:14:14.769
But was not, but was in Pennsylvania. And I created

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this report and everyone was like, oh my gosh,

00:14:16.629 --> 00:14:20.690
this is so great. And you're like, that was a

00:14:20.690 --> 00:14:23.710
try, but it was caused by me being curious and

00:14:23.710 --> 00:14:25.309
saying just because it doesn't exist doesn't

00:14:25.309 --> 00:14:29.529
mean I can't ask for it. And it took me a while

00:14:29.529 --> 00:14:31.870
to explain what I was trying to do, but once

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they got it, it just became so obvious. That's

00:14:36.850 --> 00:14:39.529
the funny thing about tries is when the try works

00:14:39.529 --> 00:14:41.850
and not all of them are going to work, but when

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the try works, It's so obvious what we've been

00:14:47.019 --> 00:14:51.200
done. Yeah. Well, it's like a baseball player

00:14:51.200 --> 00:14:54.879
with a, with a 400 average. Like how much is

00:14:54.879 --> 00:14:57.440
that guy worth? Oh yeah. Out of control. Right?

00:14:57.799 --> 00:15:00.840
No. And, and that's only four out of 10. Yeah.

00:15:02.399 --> 00:15:04.960
And yet we don't, we don't have baseball cards

00:15:04.960 --> 00:15:09.259
for our staff. Yeah. We don't know what calendar

00:15:09.259 --> 00:15:12.169
to track. They're meaningful. Think the other

00:15:12.169 --> 00:15:14.490
I think the other thing is triers have to be

00:15:14.490 --> 00:15:17.649
system thinkers Me or they will just make their

00:15:17.649 --> 00:15:20.029
little silo efficient and not care about the

00:15:20.029 --> 00:15:25.690
system Yeah, and you know, I also think being

00:15:25.690 --> 00:15:31.289
able to Go into different groups like again,

00:15:31.350 --> 00:15:33.950
I don't know why companies don't collect these

00:15:33.950 --> 00:15:36.210
little like these little internal consulting

00:15:36.210 --> 00:15:39.610
teams Because my guess like my guess is is there's

00:15:39.610 --> 00:15:42.230
a there's a portion of your company However,

00:15:42.470 --> 00:15:44.929
how whatever size your company is like let's

00:15:44.929 --> 00:15:49.289
just say it's 2 % Okay, so you got 2 % of your

00:15:49.289 --> 00:15:51.629
company that did for some rat for some random

00:15:51.629 --> 00:15:55.129
reason their superpower is Trying and figuring

00:15:55.129 --> 00:15:57.730
out little nuanced things that like gets them

00:15:57.730 --> 00:16:01.330
all sorts of credit and and But no one else saw

00:16:01.330 --> 00:16:04.309
Like if you had a little team, you've got a 200

00:16:04.309 --> 00:16:06.250
200 percent company. You got a little team of

00:16:06.250 --> 00:16:08.440
four that basically just goes and sits stuff,

00:16:08.600 --> 00:16:11.919
learns stuff, and then just goes and makes recommendations

00:16:11.919 --> 00:16:14.960
and has some pull within the org, it would be

00:16:14.960 --> 00:16:17.460
pretty incredible what could happen. Because

00:16:17.460 --> 00:16:19.259
the thing is, is like these changes aren't big

00:16:19.259 --> 00:16:22.480
oftentimes, they're really small. That's the

00:16:22.480 --> 00:16:24.000
thing that's blown, like that's the thing that

00:16:24.000 --> 00:16:26.940
blows my mind. Is sometimes these tries are like,

00:16:27.100 --> 00:16:29.799
you know, I think there's a story of this company

00:16:29.799 --> 00:16:31.320
they call in the console. I don't even know if

00:16:31.320 --> 00:16:34.210
this is a true story, but it's. It's a good analogy.

00:16:35.350 --> 00:16:37.509
They spent millions of dollars because for some

00:16:37.509 --> 00:16:40.129
reason these boxes were coming through and they

00:16:40.129 --> 00:16:42.870
weren't being filled. There were boxes coming

00:16:42.870 --> 00:16:45.289
through and they would box them up and ship them

00:16:45.289 --> 00:16:47.990
out, but they had no product in them. So they

00:16:47.990 --> 00:16:50.169
spent millions of dollars fixing the line. The

00:16:50.169 --> 00:16:51.950
line was better and it did a lot better job.

00:16:52.009 --> 00:16:55.450
And then one day they just found out that these

00:16:55.450 --> 00:16:59.129
boxes were just not like ever making it to the

00:16:59.129 --> 00:17:03.100
million dollar checkpoint. What some you know

00:17:03.100 --> 00:17:06.259
the story goes and again this could be fake but

00:17:06.259 --> 00:17:09.259
the story goes Someone who was working just went

00:17:09.259 --> 00:17:11.359
and got a fan because he was tired of the million

00:17:11.359 --> 00:17:12.960
-dollar machine because it made all this noise

00:17:12.960 --> 00:17:15.980
It was a pain. He just put the box fan up It

00:17:15.980 --> 00:17:18.240
blew the boxes and if the box didn't have product

00:17:18.240 --> 00:17:20.740
just blew the box off the line problem solved

00:17:20.740 --> 00:17:24.299
right so like But but but I think you love I

00:17:24.299 --> 00:17:27.859
love that story though Rubble solved. Yeah, so

00:17:27.859 --> 00:17:32.150
you got some guy with it with a $19 box fan that's

00:17:32.150 --> 00:17:34.910
on discount at Walmart is just solving the problem.

00:17:36.109 --> 00:17:40.309
It's a lot like the story of the U .S. spending

00:17:40.309 --> 00:17:42.869
literally millions of dollars creating a pen

00:17:42.869 --> 00:17:45.049
that would write upside down in space and the

00:17:45.049 --> 00:17:49.230
Soviets just use a pencil. I think often that

00:17:49.230 --> 00:17:52.569
desire to over -engineer because we're not close

00:17:52.569 --> 00:17:55.049
enough to it or we don't take a step back. And

00:17:55.049 --> 00:17:58.859
I think a lot of triers will adjust their perspective.

00:17:59.119 --> 00:18:01.599
To your point about curiosity, I'll ask somebody

00:18:01.599 --> 00:18:04.079
that may not be working in the process, but they're

00:18:04.079 --> 00:18:06.980
dependent on it or they're an input. And gathering

00:18:06.980 --> 00:18:10.579
those perspectives gives you a much more complete

00:18:10.579 --> 00:18:14.039
view of what's going on. I think the triers also

00:18:14.039 --> 00:18:17.619
have tried more. I know that sounds so dumb,

00:18:18.160 --> 00:18:21.059
but they've just tried more. And so they've failed

00:18:21.059 --> 00:18:25.279
more. So they have a better predictability of

00:18:25.279 --> 00:18:30.220
what will work. Yeah, Chris, I'll tell you You

00:18:30.220 --> 00:18:32.140
know, I've spent the last 20 years predominantly

00:18:32.140 --> 00:18:34.940
as a consultant. Oh, we're gonna go any of the

00:18:34.940 --> 00:18:38.000
stations Yeah, it's an admission, but I'll tell

00:18:38.000 --> 00:18:41.720
you the if there's a singular secret to my success

00:18:41.720 --> 00:18:45.720
It's discovering who those connected triers are

00:18:45.720 --> 00:18:51.019
Because the challenge is that oftentimes a trier

00:18:51.019 --> 00:18:54.000
is asking questions that executives can't answer.

00:18:54.039 --> 00:18:56.539
Yep or they're pointing at things that are good

00:18:56.539 --> 00:19:00.019
enough, they might be fragile, but it's not a

00:19:00.019 --> 00:19:02.759
priority. And as a consultant, you're usually

00:19:02.759 --> 00:19:04.920
brought in by somebody with authority and budget.

00:19:05.460 --> 00:19:09.000
It's a director or an executive, right? And what

00:19:09.000 --> 00:19:12.079
they're asking is, I happen to perceive a problem

00:19:12.079 --> 00:19:14.900
and you, consultant, I'm not a McKinsey guy,

00:19:15.059 --> 00:19:18.640
right? They're not asking me for an army of analysis.

00:19:18.720 --> 00:19:21.400
What they're asking for is bring me some recommendations

00:19:21.400 --> 00:19:24.410
and help me understand how we execute it. And

00:19:24.410 --> 00:19:26.910
so my very simple motion, and to your point,

00:19:27.069 --> 00:19:29.950
every organization should have 2 % of their workforce

00:19:29.950 --> 00:19:33.069
doing this. It's working on the business, not

00:19:33.069 --> 00:19:37.069
in the business. 2%, right? And all you have

00:19:37.069 --> 00:19:39.390
to do is, you don't have to have deep knowledge

00:19:39.390 --> 00:19:41.569
of every process. You just have to understand

00:19:41.569 --> 00:19:44.190
through interview, talk to me about your process.

00:19:44.869 --> 00:19:48.490
The priors talk about it differently. They also

00:19:48.490 --> 00:19:52.569
don't expect, they don't accept the status quo.

00:19:53.259 --> 00:19:56.380
No. There's always one more thing, isn't there?

00:19:56.420 --> 00:20:00.279
Well, there's always like, can we go and get

00:20:00.279 --> 00:20:05.240
this data piece? Or do we have to do that? And

00:20:05.240 --> 00:20:09.259
so they're always kind of experimenting on what

00:20:09.259 --> 00:20:15.089
will versus what won't work. Yeah. Tinker as

00:20:15.089 --> 00:20:17.990
a descriptor of what you just said, right? And

00:20:17.990 --> 00:20:20.529
maybe it's optimizing. They want to play with

00:20:20.529 --> 00:20:24.269
things a little bit. I think the triers are also

00:20:24.269 --> 00:20:28.170
when you hear Elon talk about Doge, and he's

00:20:28.170 --> 00:20:29.910
like, I'm going to go save all these monies.

00:20:30.089 --> 00:20:33.109
The triers are like, dude, you can save your

00:20:33.109 --> 00:20:36.869
money in Medicare or the military. Those are

00:20:36.869 --> 00:20:40.410
your two options. They just stop there. They're

00:20:40.410 --> 00:20:44.049
like, look, I understand math, statistics. The

00:20:44.049 --> 00:20:46.410
piles of money are hanging out in the buckets

00:20:46.410 --> 00:20:48.529
that you aren't playing with. You're playing

00:20:48.529 --> 00:20:51.210
in the wrong sand, at the wrong beach, my friend.

00:20:51.890 --> 00:20:54.869
That's right. Well, it's kind of like in modern

00:20:54.869 --> 00:20:57.630
day organizations, we spend an exorbitant amount

00:20:57.630 --> 00:21:02.509
on salaries and on software. If we look at the

00:21:02.509 --> 00:21:05.569
actual dollar spent on people, process, and technology,

00:21:05.990 --> 00:21:08.450
process is not where money is spent unless there's

00:21:08.450 --> 00:21:10.730
software strapped to it or heavy pieces of equipment

00:21:10.730 --> 00:21:13.410
that are really - Oh, sure, sure, sure. So the

00:21:13.410 --> 00:21:16.170
white streets falls apart for sure and you know

00:21:16.170 --> 00:21:17.890
What's interesting like what I've what I've thought

00:21:17.890 --> 00:21:20.029
about a lot is like you can take process and

00:21:20.029 --> 00:21:22.470
you can tie it to the strategy, right? Yeah,

00:21:22.470 --> 00:21:25.509
like if the process can align with the strategy

00:21:25.509 --> 00:21:29.390
versus Like I think a lot of oftentimes business

00:21:29.390 --> 00:21:36.009
is about connecting To the community right and

00:21:36.009 --> 00:21:38.130
so there ends up being more politics than normal,

00:21:38.150 --> 00:21:41.930
but we are we are over again my friend it is

00:21:42.960 --> 00:21:46.180
Try versus lie. We had more to say on this. We

00:21:46.180 --> 00:21:49.599
did. Awesome session. All right, man. Well, I

00:21:49.599 --> 00:21:52.660
guess we just keep trying. We'll just keep trying.

00:21:52.680 --> 00:21:55.039
There you go. We're only trying to bat a 400,

00:21:55.079 --> 00:21:58.319
brother. There you go. All right, man. All right,

00:21:58.480 --> 00:21:59.000
have a good one, bet.
