WEBVTT

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What's up, Toby. We have made a podcast, Processed

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At Podcast number 28. Woo -hoo. I know. All right.

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It is Friday for everybody that's listening.

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Hopefully you've had a good week. Yes. Happy

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Fridays. I mean, you know, fix it Friday. That's

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why we launched these on Friday because it might

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be the only day in the corporate world in which

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you actually have some time to work on You were

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part of the business to make your life better.

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Chris, that's such an interesting point. Do Fridays

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feel like the time where you have a little bit

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of space? My favorite time to work is Saturday

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morning, about 730 to 930. Oh, nice. That's just

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the prime time for you. It is. It is free work,

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meaning I get to work on whatever I want. I'm

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not bugged. I can go and scratch an itch and

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it's actually a lot of times it's really rewarding.

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Yeah. I love that. All right. Today's topic.

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Why do businesses suck so much at change? That

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is today's topic. I love how eloquently and simply

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put that. Why do you suck? Yeah. Long is it that

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the difference between success and failure is

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literally a coin flip? Yes. 100%. More important

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to, you know, we're actively disrupting our own

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businesses. We don't always even harden how the

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processes work. And then we're throwing our success

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and our livelihood in the air on a coin. Yep.

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Yeah. You say coin flip. We do have some statistics

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here. There was a study in 2016 by the CEB Corporate

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Leadership Council. where they stated that 50

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% of initiatives are outright failures. Whereas

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16 % have mixed results and 34 % are successes.

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Nice. Who doesn't want to bet on that? One in

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three, it's not just a 50%, one in three is people

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are going to step back and say, well, shit, that

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wasn't the way we hoped. Man, that worked. That's

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a great, you know, that's not bad. Batting average

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hit 100, I suppose, but with people's livelihood,

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I think we want a little bit more assurance.

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Talk to me about why do you think that is? Just

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the statistics aside, what's your gut say about

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why only a third of these big change initiatives

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are viewed as successes? That's a good question.

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I think most of the time people don't know why

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they're changing or the people that are having

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changed. are having change pushed down from above,

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it's not clear. I think some of this comes down

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to just alignment. It's not like the basketball

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team is out there tackling people like football

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because they don't know what the game is. They

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understand the goal is get the basketball in

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the hoop and play an offense and a defense, and

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there's a lot of strategy. For on the business

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side. It's really hard to change because you

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don't know what game you're playing Yeah Yeah,

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so many so many businesses at their most foundational

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level forget that it's basically intake of Raw

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materials or human capital. Yep, or it into something

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more valuable than the people that are shuffling

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through your warehouse or offices and then produce

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something that creates value both for customers,

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employees, and shareholders. The statistics around

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what we now call digital transformation, I think,

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are equally bleak. Part of it is we have, and

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quite literally, I remember a client, a senior

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executive came back from the holidays, had gone

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on a ski trip with a friend that was an SAP.

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you know, welcome to the new year was we're going

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to lay out $10 million for SAP. We're going to

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start with the finance module. His entire finance

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team at this company was maybe 14 people. 14

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people in a business that was manufacturing a

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raw material. They knew how to weigh it. They

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knew how the flow went. And this was finance.

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This wasn't the supply chain. Well, the 10 million,

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they were starting with finance. So now you give

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people that are kind of mailing it in, because

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they don't give a shit. Let's be honest, right?

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A lot of people, it's like, I got to have a job.

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This is better than the last shitty job I have.

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Oh my gosh, that's funny. But people aren't total

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assholes. And so then you're going to go to them

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and say, everything that you know about just

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showing up and getting work done and then getting

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back to your life, we're going to completely

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disrupt that. Yeah. and we're gonna give you

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a system designed by German Mines that have an

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entirely different schema. So now we want you

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to think differently about the work you did.

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So they were several million dollars in. They

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launched the finance piece and the finance folks

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all maud it and oh, thank you so much. And they

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kept using their spreadsheets and they used it

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as a very, very expensive ledger system that

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they would upload to once a month. That's what

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they learned was how do you appease the boss

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who goes off ski for a bit fancy bulls and then

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makes bad choices? So, okay, I think Arge what

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did why? Like what I mean, like what was going

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through the what was going through the decision

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-makers had that was like SAP Yeah, was it getting

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a logo? I not necessarily in like getting a logo,

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but like I wonder what Like, I'm really curious

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about these things, as far as like, what was

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the frustration that was going through this person's

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head? Yeah. Right? The idea that comparison is

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the thief of joy immediately comes to mind as

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the response, right? And so when you're talking

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with a professional peer and they're sharing

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what they attribute their success to. Sure. especially

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at those senior executive levels, they don't

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always understand the blocking and tackling mechanics.

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A different client just about 10 years ago now

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needed a supply chain solution, but instead gutted

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all their financial systems first. And so they

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got $90 million pregnant with their version of

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SAP that... Still didn't replace the the corporate

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headquarters dysfunction and they still had supply

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chain problems Like so when we're trying to solve

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great big vast things that we don't understand

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I think this is yeah, my opinion is you know

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It's people making decisions in a in isolation

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and they're walking this floor. We've talked

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a lot about You know Toyota philosophies and

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the whole Deming. Yeah notion like get close

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to the process but when whether it's ski villas

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or whether it's making pronouncements from the

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floor with all the great views, the solutions

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don't fit the problem. Can you capex that SAP?

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Yeah, the beauty is then there's this really

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lovely, well, accounting treatments vary. Okay.

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Not just choices, so I won't geek out all the

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way. Okay, all right. I appreciate the minor

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geek out. Because my little tiny budget here

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is like, why in the world would I ever spend

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$11 million on SE? Whatever, right? On a software.

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So, all right, geek out a little bit on capital

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expenditures. Yeah, so CapEx, OpEx, right? Yep.

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CapEx means we're going to put it on the balance

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sheet and we'll slowly depreciate it over time.

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Yeah, yeah. And so we can spread out that cost

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against future income. Alternatively, with its

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operating expense, we recognize that this year

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goes directly against this year's income. So

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a lot of times organizations, they're looking

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at it and they're like, God, we don't want to

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eat 90 million of costs this year, so let's spread

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it out. It's a long old asset. We're going to

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use this system for years. Then they discover

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that they've absolutely just bumblefucked it.

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not doing anything that it was intended to do.

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And this is where, you ever hear the phrase impaired

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asset? Impaired is not just beer goggles at two

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in the morning and wondering why you parked your

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car in the middle of your front yard. Impaired

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asset is not just a car that's smoking, you know,

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you can just pull it on fire. Lot of corporate

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impaired assets are these projects that never

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delivered the value Yeah, then they go back and

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auditors are asking is is your SAP system really

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a 90 million dollar asset Really say that with

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a straight face. They're like, okay, maybe it's

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nine It's a shit job. I'm a total potty mouth.

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I don't know what's going on happy Friday, man

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But this, this kind of winds me up because I

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have background in finance and then I'm here

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and it's turned a man's plane to me like, yeah,

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that was the best 90 million bucks we could have

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ever spent. Oh my gosh. I feel like if we start

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a consulting company, we should call it beer

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Gallagher's consulting. Yeah, we're here to,

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yeah. I have a friend that's like, I can be a

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CEO and you don't even have to pay me market.

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Just give me $2 million. And I will screw this

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thing up less than most. And I'm like, you know

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what? You have a fighting chance. I'll tell you,

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for a million five and a nice pension, I won't

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even show up and bring badges into the office.

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I mean, it's not free, but the avoided costs

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could be considerable. Oh my gosh, that's funny.

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I like your earlier comment about change and

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it's that. Not only do we have organizations,

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like think about today, we were talking about

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big ERP systems, but today, the last 18 months,

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everybody's been rushing to figure out what's

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our AI strategy? What does artificial intelligence,

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whether it's generative AI, creating new things,

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whether it's agents to interact with our customers,

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horrible idea. How many different ways can we

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use these emergent technologies? And I think

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that it is, it's always this comparison. So many

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excellent point solutions, just blown out of

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proportion and were invariably drawn to the new

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and sexy thing. And so everywhere I turn, you

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know, the IVR systems now that instead of like

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press one to talk to somebody that pretends to

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care, they give me an AI agent that says, Oh,

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did you say you'd like to speak to potato salad?

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You know, we talked about this in a prior episode.

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There's a disassociation between businesses and

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their customers, but I think poor change management

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has exactly the same effect of damaging the relationship

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between a business and its employees. Customers

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may or may not experience it, but we're whiplashing

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employees left and right. Well, it's hard to

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know why. Right and then it's it's also hard

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when you you know, we've been around but you

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know a couple years Yeah, two or three two or

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three and so when you realize that when someone

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comes out and you're like the general the general

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mood of the office is I'm not sure that one's

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gonna work And so, you know and that's not always

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the case right like sometimes you're like, okay

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The pieces are starting to come together, but

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there's some where you're like hmm Not sure what

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the problem is that we're solving here Followed

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with not exactly how this is not exact don't

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exactly know how this is aligned Yeah, and don't

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know what net don't know the necessary Action

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action steps, which makes changing really hard

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because then it's like, okay Well, I'm gonna

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guess to see where my next step is on the journey

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And you're kind of just, you're looking for social

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cues on whether it's the right change, right?

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And then I think people do little micro -mutants.

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Where it's like, you're going to test resistance

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to see if you're going to get in trouble because

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then you found the boundary. I mean, we all,

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like I said, in some ways we all become like

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these teenagers. for our, for her, for her, for

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her. What is it we work with? We're like, we

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need you to be home at midnight. And you're like,

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wow, let's let's shoot for 1230 and see what

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happens. Like, doesn't matter. Is there a consequence?

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Okay. See you tomorrow. Not really sure. No,

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I love that. And I think, uh, I think when we.

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couple, like life feels like it's changing faster

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because we have so much information thrown at

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us, enormous volumes any day. To try to stay

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aware of what's going on and then keeping up

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with the lives of the people that matter to us

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when we're more broadly spread out than we've

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ever been geographically, but have the means

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to keep tabs. It's not like I jumped a boat and

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went to a foreign continent a hundred years ago.

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I can FaceTime somebody on another continent

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and I feel like I have an obligation to maintain

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that connection. So then when work is chaotic,

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Oh my Lord. Yeah. Yeah. Well, I think the coin

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flip. Yeah. I think it's, I think it's also hard

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because you get, I think sometimes it's change

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for changes sake. Yeah. Meaning like I've got

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a problem. And the simplest way to do that is

00:14:41.789 --> 00:14:44.490
to name the problem and head in that name direction.

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And that name direction is change, right? So

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it's like this reciprocal loop that will never

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be successful. And, and, or, and I think I brought

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this up before, like people don't think about

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cohorts. Like almost everything that we do, there

00:14:57.970 --> 00:15:02.610
is something else to compare it to, right? So

00:15:02.610 --> 00:15:06.070
if you want to find a successful business model,

00:15:06.590 --> 00:15:12.460
host an Olympics. It is a great way for your

00:15:12.460 --> 00:15:15.480
city to lose a ton of money because they're all

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bespoke. Nothing's the same. But if you want

00:15:18.440 --> 00:15:20.360
to see how much you're going to go over budget,

00:15:20.799 --> 00:15:23.879
just do an estimate of how many go over budget.

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And that's pretty much where you're going to

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be. Chris, that's such a horrible truth. Yeah.

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And most businesses do not want to hear what

00:15:33.980 --> 00:15:37.659
your cohort is because they will realize, oh

00:15:37.659 --> 00:15:41.799
shoot. This is going to be hard like like a great

00:15:41.799 --> 00:15:43.759
example of this like the best way to remodel

00:15:43.759 --> 00:15:46.379
your house is to just do some research for how

00:15:46.379 --> 00:15:50.200
long it how much it costs in your area to remodel

00:15:50.200 --> 00:15:53.940
your kitchen and If you're if your contractor

00:15:53.940 --> 00:15:56.779
is like, oh we can do it for 50 grand and you're

00:15:56.779 --> 00:16:00.259
like, okay Well, the average is you know, we

00:16:00.259 --> 00:16:02.799
can do it for 15 grand. The average is 50 grand

00:16:02.799 --> 00:16:05.580
You know what you're gonna be closer to the 50

00:16:05.580 --> 00:16:07.700
grand because they're going to open something

00:16:07.700 --> 00:16:09.320
up and they're going to be like, oh man, look

00:16:09.320 --> 00:16:15.179
what we found. Averages have a place and they're

00:16:15.179 --> 00:16:19.200
a really powerful point of reference. Just like

00:16:19.200 --> 00:16:21.860
the statistics you mentioned at the top of the

00:16:21.860 --> 00:16:25.720
show here, statistics have a place and it gives

00:16:25.720 --> 00:16:28.799
us some more objective perspective on what's

00:16:28.799 --> 00:16:31.299
actually going on. So yeah, it's interesting.

00:16:31.320 --> 00:16:33.159
Like if you could change, if you could change

00:16:33.159 --> 00:16:36.720
even that, you know, we talked about 16 % are

00:16:36.720 --> 00:16:39.340
kind of mixed results. Like even if you could

00:16:39.340 --> 00:16:41.659
pick that up, I mean, it'd be interesting to

00:16:41.659 --> 00:16:45.019
know what the dollar value is on that. Yeah.

00:16:45.279 --> 00:16:50.399
Or expand that piece. Years ago, being a finance

00:16:50.399 --> 00:16:54.080
guy and then helping, you know, fortune 500 clients

00:16:54.080 --> 00:16:57.879
navigate big change initiatives. I tried to monetize,

00:16:58.019 --> 00:17:01.320
I tried to put a value premium on why would you

00:17:01.320 --> 00:17:04.440
spend money on all the communication and all

00:17:04.440 --> 00:17:07.700
the stakeholder engagement? Why do you tell people,

00:17:08.000 --> 00:17:10.299
bring them into the room and help understand

00:17:10.299 --> 00:17:12.420
from the people doing the work why it's so critical?

00:17:13.019 --> 00:17:16.039
And it was incredibly difficult because it's

00:17:16.039 --> 00:17:20.220
all soft money. It's people's salaries and it's

00:17:20.220 --> 00:17:24.099
why and we... to try to actually put a dollar

00:17:24.099 --> 00:17:26.339
value, we can see the hours people are in a room,

00:17:26.339 --> 00:17:29.279
but we can't see that as visibly on the adoption

00:17:29.279 --> 00:17:32.519
side, depending on the age. It's hard to measure

00:17:32.519 --> 00:17:38.319
happiness. Let's just say, I guarantee you these

00:17:38.319 --> 00:17:45.940
50 % that were failures, not only do you have

00:17:45.940 --> 00:17:49.299
upset employees, you've got changed fatigued

00:17:49.299 --> 00:17:52.299
employees that don't want to change again. Yeah,

00:17:52.700 --> 00:17:54.660
and so you're you it's like you're creating like

00:17:54.660 --> 00:17:57.420
these this super resistant internally that if

00:17:57.420 --> 00:18:00.380
you make any change and We want to make a change

00:18:00.380 --> 00:18:05.359
because it was a stress or something Yeah, think

00:18:05.359 --> 00:18:08.259
about the human body when all of a sudden we

00:18:08.259 --> 00:18:10.960
have an overactive immune system Yeah, and all

00:18:10.960 --> 00:18:14.460
the sudden it's to our own detriment. Yeah autoimmune

00:18:14.460 --> 00:18:18.660
Diseases are input. Yeah. Yeah within the organizational

00:18:18.660 --> 00:18:22.089
body. We see the very same thing happening So

00:18:22.089 --> 00:18:24.869
we are we are at time. I'm gonna end it with

00:18:24.869 --> 00:18:28.529
a very cool JNI prompt that I came up with this

00:18:28.529 --> 00:18:33.369
this week so when you do so the way that the

00:18:33.369 --> 00:18:37.430
GPT prompts work is you can you can import a

00:18:37.430 --> 00:18:41.630
lot of data into the into the into the chat stack

00:18:41.630 --> 00:18:45.069
a Lot of pleases. Oh, yeah, a lot of a lot like

00:18:45.069 --> 00:18:47.849
a lot. Yeah a lot Yeah, please and thank you

00:18:48.700 --> 00:18:51.099
Will you please do this? So you can, you can

00:18:51.099 --> 00:18:54.400
do a long, a long chat because it's, and it's

00:18:54.400 --> 00:18:56.440
going to pick up that context because every time

00:18:56.440 --> 00:18:59.539
you send that back, it's going to send the whole

00:18:59.539 --> 00:19:03.400
context, right? So this has to be very, there's

00:19:03.400 --> 00:19:06.720
high memory on the ask, but there's low memory

00:19:06.720 --> 00:19:10.420
on the output oftentimes. Gotcha. Okay. So the

00:19:10.420 --> 00:19:12.240
problem I was trying to solve was how do I run

00:19:12.240 --> 00:19:19.829
a long form or long form document? scope of work,

00:19:20.349 --> 00:19:23.970
a product release requirement doc using a prompt.

00:19:24.529 --> 00:19:27.630
And the solution was to give it a chain of thought

00:19:27.630 --> 00:19:31.609
prompt, which is you're going to be getting a

00:19:31.609 --> 00:19:34.869
transcription. You are to take that transcription

00:19:34.869 --> 00:19:38.609
and summarize that in a table of contents. And

00:19:38.609 --> 00:19:41.670
then your objective is to write each section

00:19:41.670 --> 00:19:45.269
and ask me if each section is okay. It's brilliant

00:19:45.269 --> 00:19:50.579
and it's awesome. Okay. Yeah, that's slick. That

00:19:50.579 --> 00:19:55.240
sounds absolutely cool. That's such a next order

00:19:55.240 --> 00:19:58.380
of prompt engineering than I think most of us

00:19:58.380 --> 00:20:02.220
typically use. Yeah. And I got really, I basically,

00:20:02.420 --> 00:20:04.000
what happened is I got really frustrated because

00:20:04.000 --> 00:20:07.680
I was trying to, I was like, I was recording

00:20:07.680 --> 00:20:11.400
these like long 10 minute transcriptions of like,

00:20:11.579 --> 00:20:13.079
this is what I want to do. Right? This is what

00:20:13.079 --> 00:20:15.109
I want to do. And then I'd be like, write me

00:20:15.109 --> 00:20:16.990
a long article. And I'd be like, the summary

00:20:16.990 --> 00:20:21.789
is this. And you're like, oh, gosh. And you're

00:20:21.789 --> 00:20:24.730
trying to not summarize, but expand on this.

00:20:24.730 --> 00:20:27.869
And so what happens is it gives you the table

00:20:27.869 --> 00:20:31.009
of contents, right? And then it says, would you

00:20:31.009 --> 00:20:34.190
like me to write the summary? I sure would. Would

00:20:34.190 --> 00:20:36.430
you like me to write the problem statement? I

00:20:36.430 --> 00:20:39.710
sure would. And it just, and you can tweak it

00:20:39.710 --> 00:20:41.930
along the way. It's very cool. Anyway, that is,

00:20:41.930 --> 00:20:44.349
that is your, that is your fix it Friday solution.

00:20:44.950 --> 00:20:49.809
And we are done with this week's podcast. We

00:20:49.809 --> 00:20:53.190
made it through 28. Thanks, man. Good stuff.

00:20:53.410 --> 00:20:55.250
All right. Happy Friday. Yep. Talk to you later.

00:20:55.630 --> 00:20:56.190
See ya.
