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PAPod 526 - The Power of Conversations in the Workplace

PreAccident Investigation Podcast

The Pre Accident Podcast is an ongoing discussion of Human Performance, Systems Safety, & Safety Culture.

Show Notes

In this episode, join Todd Conklin for a casual yet insightful chat on the importance of understanding and interpreting data in both personal and organizational contexts. Using a humorous anecdote about a data-collecting ring, Todd delves into how data can provide insights into our happiness and health, drawing parallels to the abundance of data collected in workplace safety and operations.


Moreover, Todd discusses the significance of open-ended conversations with employees to gauge the true health of an organization. He emphasizes the importance of building quick relationships and understanding the changing needs of the workforce in a rapidly evolving work environment.


Todd also challenges listeners to think about the nature of feedback and data collection, promoting genuine conversations as a vital tool for organizational success and personal growth. Tune in for a reflective journey on how we can all benefit from asking the right questions and being open to the answers, however surprising they may be.


Show Transcript

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So today, let's have a little chat. Not a big chat. I mean, don't freak out.

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It's not going to be too serious.

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But let's have a little chat about how do we know what we're doing makes a difference.

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Music.

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Hey, everybody, Todd Conklin, Pre-Accident Investigation Podcast. How are you?

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Well it's a great time it's a great

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day to be alive the sun's still shining

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and something else i'm trying to think of the

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rest of the song like it's it's just a good time to be

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here and i'm so pleased to do so so

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i got one of those one of those rings you wear that

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tells you if your heart's beating and

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it's kind of bio feedback it's kind

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of the same feedback that the

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apple watch gives you kind of or android

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watch if you have one of those i'm not being snooty but they make rings that

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do it and they had i'm so cheap they had they had this deal where if you wanted a black one size.

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13, no, a size 14, something like that. Size 13 or 14.

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It was a huge, like half, it was less than half price, brand new.

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I thought I should try this. So I started wearing this ring that tells you if you're happy or not.

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And you know what? I, I learned, I didn't, this is great to know.

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I'm mostly joyous and happy according to my ring. And if the ring says it, it must be true.

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I mean, that's all I can tell you. If the ring says it, it has to be true.

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And so I've been getting this biofeedback. I can tell you, you know,

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how much I breathe and what my resting pulse is and how my sleep quality is.

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It's quite a bit of information.

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It kind of reminds me of working in safety, where you just measure a whole bunch

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of stuff so that if you have a lot of numbers,

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then you must be good because I mean here you

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have it doesn't tell me what to do with

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this data so I don't really know what is good

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and what's bad what's right and wrong but I have lots and lots of information

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and so I'm enjoying the ring we'll see stay with me on this we'll see see how

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long I keep the ring in the rotation so because I don't have a lot of sunk cost

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in it it's not like it cost, you know, $500.

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I mean, it was because I didn't care what color it was.

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And it was the largest one they had. It's kind of like my Christmas Crocs.

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So I got Christmas Crocs because they were on sale. And when you see them,

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they're green, red and white and covered in glitter.

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And they're fur lined with green fuzzy fleece.

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And it's hard to believe that they were on such a good sale because I can't

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believe people didn't just buy a million of them.

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That's kind of where I am on that. But nonetheless, it's another journey into feedback town.

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And that's kind of what this wearable, which I'm pretty hip. Do you hear me being hip?

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That's what the kids call these devices, the wearables and the data it gives you.

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Now, to me, what's so interesting is what will happen with that data?

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Are they collecting it in the grand data scheme for the whole world,

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for everyone who wears one of these rings?

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Or is it just for me? Is it really health data? Is it not health data?

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There is a lot going on here. And that makes it kind of a worthwhile.

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Adventure. At least it's kind of fun. Plus, it's something to do.

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And it's another piece of gear. And who doesn't like, you know,

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having another piece of gear to mess with?

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Other than that, Things are great. I had a wonderful Thanksgiving time in the United States with,

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in fact, it looks like I'm going to have three Thanksgivings,

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which is in essence, or I had three Thanksgivings, which in essence is,

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you know, the perfect way to survive.

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Because I could live forever. I'm not the hugest fan of turkey because I think

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turkey generally is kind of boring.

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It's just a boring, it's boring. And I know I'll offend people.

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The pro-turkey crowd, big turkey is going to hate me.

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But I just find it kind of boring.

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It's not a meat with a lot of personality. Let's just say that.

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Okay, let's get that out there. But all the stuff you have with it,

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the mashed potatoes, the dressing.

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The specialized vegetable dishes, the multitude of pies, that is a pretty good ride.

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And so the fact that I got to go three times makes me three times as happy.

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So my ring should say I'm triple joyful and triple happy. If the data matters

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and it's collected, then that would help me understand where that data is.

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And isn't that what it's all about? Yes, it is. That is what it's all about.

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So that's kind of an update.

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Looking forward, next year is promising to be relatively exciting.

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I'll bring you in on the details on that. Lots of really interesting podcast stuff happening.

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Just because there's a lot of people that want to be on the pod right now.

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And so that's that's been kind of fun and then we've got the secret project going,

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jenny long and i have a secret project and that's

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almost done so in fact that might it that could

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be done by now too because i'm not in charge of it so which is by the way the

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perfect way to be if you can be not in charge of something you should you know

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if you don't have to be the trip leader don't be the trip leader that's what

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i say so all that's good and uh we can move forward And that's exactly what we're going to do.

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So one of the questions I want to ask you, because I think it's a reasonable

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question, and please, whatever you say as an answer is a fine answer.

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Don't think there's a right answer or a wrong answer or feel guilty or joyous.

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It's just a question, and that's all it is. In the best way I can ask this question,

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it's not laden with a bunch of meaning. It's just a question.

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And the question I want to ask you is, how is your work going?

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And I don't mean how do you feel about your work, although that's important

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and I'll talk to you about that anytime.

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But how's the work you're doing in your organization going?

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How's it happening? What do you think is going on?

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And part of what we are challenged by,

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which is kind of why I think I talked about the ring that keeps bio data or

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the watch that keeps bio data or the fact that your phone kind of keeps bio

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data is because collecting data is valuable.

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But it's the interpretation of the data. It's what the data means that is the

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most important part of it.

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And one of the challenges, I really think we have it.

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It's a pretty interesting challenge is that I'll bet you have lots of numeric

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data collected on the status of your organization.

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A pretty good bet that you guys measure a bunch of stuff and you track it and

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you trend it and And you look at it, and that data is there.

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But one of the things that I think is missing, and it's probably because it's

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not terribly empirical, so it's not very scientific.

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And yet, I would suggest it's incredibly important.

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And that is asking people how they feel about your program.

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How they feel about the work you do. How they feel about the organization.

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And not in some survey, because I think people are incredibly over surveyed,

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remarkably over surveyed.

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In fact, I would suggest one of the things that we suffer from is something called survey fatigue.

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We take so many surveys so often for so many reasons that they no longer really

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are terribly meaningful.

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I mean, if you think about it, how many times have you been asked to rate an app? A bunch.

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I mean, that's a survey. That's what that is. It's a Likert scale.

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And it's not very meaningful. And so what we really need to do,

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and most of us, I think, probably are pretty good at this, is to actually go

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out and talk to the people who make up our organization.

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And so the question I want to ask, the one without a lot of agenda to it,

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is when's the last time you went out and asked people how the organization is doing?

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Just an open-ended, big, fat, non-empirical, feeling-based, qualitative data

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question that says, how are we doing?

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Because I want to suggest to you that that question, even though it's hard to

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track, it's hard to trend, it's hard to measure, is incredibly interesting and vitally important.

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Asking that question opens up a conversation. It opens up an opportunity to tell you how.

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Because one of the things you have to bargain for is if you ask people how we're

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doing, then you have to be brave enough to accept the answer they give you.

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And sometimes they're going to tell you we're not doing that good.

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We could be better here. We suck here. This is not effective.

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And because those things are in the conversation, that's a really important

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part of what we want to talk about with the people who make up our organization.

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Because the expertise they bring to the table is quite remarkable.

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It's vital, too. It's important.

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But what it really does is allows this conversation to happen.

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And change, as you know, because we've talked about it a bunch before.

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Change happens organizationally, not on a strategic plan, not in a project plan

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for change management, but it happens one conversation at a time.

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And what takes place when you ask how we're doing is we open up the opportunity

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for conversations to happen that could potentially change everyone,

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not just the workers doing the work, the workers who have the expertise on your

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system's rigidity or flexibility or resilience or your system's brittleness,

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your system's weaknesses.

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Workers understand that really well, but it also changes the conversation that

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leaders have about their organization.

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And they start to talk differently about what's happening in that organization

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and what they're hearing happening in that organization.

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And it makes quite a change.

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So I spent about a week working on a project where we really addressed one kind

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of interesting question.

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And that was the workers who work for us are changing what they need and want.

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Are our organizations reflecting that changing desire and demand from the workforce? That was the question.

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And it was really an interesting question because, man, I learned a ton.

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I learned that organizations that are actually quite successful now in sort

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of contemporary operations build relationships quickly with their workforce.

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That's really important. and they create a sense of connectedness.

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And that relationship building, that quick relationship building is oftentimes

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what would normally be kind of the probationary period is now seen as an opportunity

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to build this very quick relationship,

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full well knowing that the same company that builds really quick relationships

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also has learned how to say very quick goodbyes.

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So they no longer see workers as a long-term part of their strategy,

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as a long-term investment operationally, as somebody that'll come in on day

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one and stay 25 years and leave.

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They've built a system where it's easy to get into the company.

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It's easy to feel welcomed, which dramatically influences performance and sort

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of helps build culture, believe it or not.

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Full well knowing that the relationship will be short term and very functional.

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It'll serve a purpose and it will end quickly.

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Now, I don't know how you feel about that. I'm an old guy with old guy ideas and old guy stuff.

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That just seems complete opposite of what my entire career was spent doing,

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building long-term relationships with development path and an arc and a salary

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management strategy over years to develop workers into the next layer of leadership.

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And what we're learning from our observations, from our conversations with companies,

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is that, in fact, that's not terribly successful.

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In fact, what they told me is that it's kind of disappointing.

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You'll always kind of have your feelings hurt.

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Instead, you want to build connectedness quick. So build friendships quickly,

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build the relationship early, full well knowing that it's impermanent.

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It won't last forever. It can't last forever. And nobody wants it to last forever.

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That's a really interesting challenge. And it sort of builds the case for are

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we out there talking to the people that work with us?

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And the more I thought about this, because, you know, I was in the middle of

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this big discussion and it was freaking me out. I'll just be honest.

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It was quite the dramatic freak out.

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It made me think i don't think at least

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for me personally i'm going into the field

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and having the right conversations i think i go to the field more

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like a anthropologist you know to learn to watch observe learn to really stand

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there and pay attention to what's going on and i think what's missing is the

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opportunity to have that conversation because i wish i had known that this idea

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of building relationships fast,

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creating connectivity quickly, and knowing it's impermanent and will end.

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So building sort of strategies to end the relationship quickly was going on.

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But it is. I mean, that's definitely happening. And companies that are good

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at sort of functioning in this contemporary reality are good at doing those things.

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They do other things as well. I mean, there's way more information. I learned a ton.

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That is dramatic. And I don't want to be caught off guard. Neither do you.

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I mean, the thing that I've always tried to remember is that not knowing does not make you smarter.

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And so if you're caught off, if you're surprised, that means you didn't know.

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And if you didn't know, it means you didn't ask.

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And so I started thinking, well, you know, I think I have to shift from my observer of workers,

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kind of an awe-inspired observer of workers, to really more of a person who's having conversations.

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Who's not just learning, but also building relationships and communicating.

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That was really earth shattering to me. I mean, I would totally be interested

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in what you're thinking.

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Cause it just, I was just like, wow, that happened. That's kind of amazing.

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I mean, that's, that's sort of remarkable to me that that took place.

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And that what I was learning is that ultimately I was going to the right places.

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I don't feel like I was not doing it I was doing what I thought was the right

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thing to do, but I just was not having the right conversations.

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And what's remarkable about not having the right conversations is that you learn

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quickly it's you, not them.

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And that's pretty meaningful. I mean, it's kind of a little bit of slap in the

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facey, a little bit of, hey, your baby's ugly, but also kind of encouraging in that,

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as Charlie McMillan, one of my impressive bosses at Los Alamos said to me,

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sometimes we drift into the wrong question.

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And that's okay, as long as we check it. The power we have to go to the field

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and simply build conversations about how it's going is remarkable. It's not measurable.

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It's probably not trackable and trendable, although AI is allowing us to trend

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conversations in ways I never imagined would be true.

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But it's not traditional data collection, but it probably is important data

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collection. And so those conversations you have going out to the field to ask

00:17:42.673 --> 00:17:45.233
those questions, you've done it forever.

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Those conversations are a really, really important component to creating success,

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not just safety success or reliability success or resilience,

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but also operational success,

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emotional and personal success.

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You're really creating the culture you want to have and

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you're doing it through a series of conversations and the benefit and

00:18:09.053 --> 00:18:11.733
it's a pretty big benefit is that you get to

00:18:11.733 --> 00:18:17.293
learn learning is a powerful tool no question about it and getting the opportunity

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to learn well that's worth its weight in gold so that is a little podcast not

00:18:24.253 --> 00:18:28.273
a big one i told you it's just gonna be a little conversation but i think it's

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an important conversation it's the one we should be having.

00:18:31.440 --> 00:18:38.640
Music.

00:18:38.903 --> 00:18:44.663
So where does this all take us? Well, there's a good little epilogue to everything we've talked about.

00:18:44.823 --> 00:18:51.263
And that is that I'm going to encourage you this next year as part of your resolution

00:18:51.263 --> 00:18:58.363
to actually build more time to have conversations with groups of workers asking

00:18:58.363 --> 00:19:03.443
pretty direct questions about how we're doing. How's it going?

00:19:04.223 --> 00:19:08.803
How's work control, work management working? Where are the pain points?

00:19:09.483 --> 00:19:13.283
Where are we safe? Where are we not safe? Where are we fragile and brittle?

00:19:13.723 --> 00:19:15.603
Where are we robust and resilient?

00:19:16.223 --> 00:19:21.323
And having those conversations with pretty great regularity not only gives you

00:19:21.323 --> 00:19:23.843
information, which means you're going to have to do work. I mean,

00:19:23.943 --> 00:19:25.063
there's no question about that.

00:19:25.343 --> 00:19:30.523
But it also gives you the opportunity to really craft the environment you hope you have.

00:19:30.723 --> 00:19:33.803
Build that notion that it's okay to tell you the truth.

00:19:34.283 --> 00:19:37.363
And that even more importantly, it's okay to push the boundaries of that.

00:19:37.983 --> 00:19:42.263
Let me tell you where we have to break the rule in order to get the work done.

00:19:42.863 --> 00:19:45.983
Because knowing that before something bad happens, well, that's the very best

00:19:45.983 --> 00:19:50.803
time to know that. You know that as well as I do. And it also makes it kind of groovy and cool.

00:19:51.763 --> 00:19:56.743
And I think you'll find it to be a really important tool. If you're not using

00:19:56.743 --> 00:20:01.983
it already, and probably all of us are, but I wonder if we've decided and learned

00:20:01.983 --> 00:20:04.863
how to leverage it to really make a difference.

00:20:05.683 --> 00:20:07.903
That, I think, is a cool thing to talk about.

00:20:09.043 --> 00:20:12.963
Have fun. I mean, I'm wishing you the best. It's going to be a grand,

00:20:13.163 --> 00:20:17.123
grand time. We're right in the middle of, you know, all the stuff happening, so that's cool.

00:20:17.823 --> 00:20:20.503
Learn something new every single day. Have as much fun as you possibly can.

00:20:20.543 --> 00:20:24.163
Be good to each other. Be kind to each other. And for goodness sakes, you guys, be safe.

00:20:25.040 --> 00:20:35.926
Music.

Transcript

WEBVTT 00:00:00.017 --> 00:00:04.237 So today, let's have a little chat. Not a big chat. I mean, don't freak out. 00:00:04.297 --> 00:00:05.497 It's not going to be too serious.

00:00:05.857 --> 00:00:11.877 But let's have a little chat about how do we know what we're doing makes a difference. 00:00:14.640 --> 00:00:24.720 Music. 00:00:24.137 --> 00:00:28.737 Hey, everybody, Todd Conklin, Pre-Accident Investigation Podcast. How are you?

00:00:30.097 --> 00:00:32.917 Well it's a great time it's a great 00:00:32.917 --> 00:00:35.937 day to be alive the sun's still shining 00:00:35.937 --> 00:00:38.577 and something else i'm trying to think of the 00:00:38.577 --> 00:00:41.337 rest of the song like it's it's just a good time to be 00:00:41.337 --> 00:00:44.677 here and i'm so pleased to do so so 00:00:44.677 --> 00:00:47.477 i got one of those one of those rings you wear that 00:00:47.477 --> 00:00:51.157 tells you if your heart's beating and 00:00:51.157 --> 00:00:53.837 it's kind of bio feedback it's kind 00:00:53.837 --> 00:00:56.637 of the same feedback that the 00:00:56.637 --> 00:00:59.817 apple watch gives you kind of or android 00:00:59.817 --> 00:01:05.737 watch if you have one of those i'm not being snooty but they make rings that 00:01:05.737 --> 00:01:18.237 do it and they had i'm so cheap they had they had this deal where if you wanted a black one size. 00:01:19.610 --> 00:01:23.430 13, no, a size 14, something like that. Size 13 or 14. 00:01:24.110 --> 00:01:28.910 It was a huge, like half, it was less than half price, brand new.

00:01:29.530 --> 00:01:34.570 I thought I should try this. So I started wearing this ring that tells you if you're happy or not. 00:01:34.850 --> 00:01:39.010 And you know what? I, I learned, I didn't, this is great to know.

00:01:39.410 --> 00:01:44.750 I'm mostly joyous and happy according to my ring. And if the ring says it, it must be true. 00:01:44.910 --> 00:01:48.470 I mean, that's all I can tell you. If the ring says it, it has to be true.

00:01:48.970 --> 00:01:53.710 And so I've been getting this biofeedback. I can tell you, you know, 00:01:53.790 --> 00:02:01.550 how much I breathe and what my resting pulse is and how my sleep quality is. 00:02:01.750 --> 00:02:03.550 It's quite a bit of information. 00:02:03.850 --> 00:02:08.130 It kind of reminds me of working in safety, where you just measure a whole bunch 00:02:08.130 --> 00:02:10.850 of stuff so that if you have a lot of numbers, 00:02:11.110 --> 00:02:13.970 then you must be good because I mean here you 00:02:13.970 --> 00:02:17.010 have it doesn't tell me what to do with 00:02:17.010 --> 00:02:20.110 this data so I don't really know what is good 00:02:20.110 --> 00:02:23.930 and what's bad what's right and wrong but I have lots and lots of information 00:02:23.930 --> 00:02:28.950 and so I'm enjoying the ring we'll see stay with me on this we'll see see how 00:02:28.950 --> 00:02:35.550 long I keep the ring in the rotation so because I don't have a lot of sunk cost 00:02:35.550 --> 00:02:38.270 in it it's not like it cost, you know, $500.

00:02:38.770 --> 00:02:42.950 I mean, it was because I didn't care what color it was. 00:02:43.070 --> 00:02:47.750 And it was the largest one they had. It's kind of like my Christmas Crocs. 00:02:48.170 --> 00:02:52.310 So I got Christmas Crocs because they were on sale.

And when you see them, 00:02:52.530 --> 00:02:56.570 they're green, red and white and covered in glitter. 00:02:57.010 --> 00:03:00.570 And they're fur lined with green fuzzy fleece. 00:03:01.090 --> 00:03:05.330 And it's hard to believe that they were on such a good sale because I can't 00:03:05.330 --> 00:03:07.150 believe people didn't just buy a million of them. 00:03:07.310 --> 00:03:13.430 That's kind of where I am on that.

But nonetheless, it's another journey into feedback town. 00:03:13.610 --> 00:03:18.930 And that's kind of what this wearable, which I'm pretty hip. Do you hear me being hip? 00:03:19.410 --> 00:03:24.870 That's what the kids call these devices, the wearables and the data it gives you.

00:03:24.970 --> 00:03:29.570 Now, to me, what's so interesting is what will happen with that data? 00:03:29.830 --> 00:03:36.090 Are they collecting it in the grand data scheme for the whole world, 00:03:36.090 --> 00:03:37.750 for everyone who wears one of these rings? 00:03:38.230 --> 00:03:41.950 Or is it just for me? Is it really health data?

Is it not health data? 00:03:42.270 --> 00:03:47.350 There is a lot going on here. And that makes it kind of a worthwhile. 00:03:49.470 --> 00:03:52.090 Adventure.

At least it's kind of fun. Plus, it's something to do. 00:03:52.390 --> 00:03:54.890 And it's another piece of gear. And who doesn't like, you know, 00:03:54.970 --> 00:03:56.450 having another piece of gear to mess with?

00:03:56.770 --> 00:04:02.690 Other than that, Things are great. I had a wonderful Thanksgiving time in the United States with, 00:04:02.970 --> 00:04:06.230 in fact, it looks like I'm going to have three Thanksgivings, 00:04:06.430 --> 00:04:12.390 which is in essence, or I had three Thanksgivings, which in essence is, 00:04:12.410 --> 00:04:15.250 you know, the perfect way to survive. 00:04:16.144 --> 00:04:20.544 Because I could live forever. I'm not the hugest fan of turkey because I think 00:04:20.544 --> 00:04:22.364 turkey generally is kind of boring.

00:04:23.044 --> 00:04:27.924 It's just a boring, it's boring. And I know I'll offend people. 00:04:28.184 --> 00:04:30.544 The pro-turkey crowd, big turkey is going to hate me. 00:04:30.984 --> 00:04:33.804 But I just find it kind of boring.

00:04:35.124 --> 00:04:39.004 It's not a meat with a lot of personality. Let's just say that. 00:04:39.184 --> 00:04:43.324 Okay, let's get that out there. But all the stuff you have with it, 00:04:43.784 --> 00:04:47.704 the mashed potatoes, the dressing.

00:04:48.524 --> 00:04:55.604 The specialized vegetable dishes, the multitude of pies, that is a pretty good ride. 00:04:55.804 --> 00:05:00.724 And so the fact that I got to go three times makes me three times as happy. 00:05:00.864 --> 00:05:06.744 So my ring should say I'm triple joyful and triple happy. If the data matters 00:05:06.744 --> 00:05:10.744 and it's collected, then that would help me understand where that data is.

00:05:11.184 --> 00:05:15.084 And isn't that what it's all about? Yes, it is. That is what it's all about. 00:05:15.564 --> 00:05:17.924 So that's kind of an update.

00:05:18.544 --> 00:05:23.164 Looking forward, next year is promising to be relatively exciting. 00:05:23.724 --> 00:05:29.524 I'll bring you in on the details on that. Lots of really interesting podcast stuff happening. 00:05:29.844 --> 00:05:32.804 Just because there's a lot of people that want to be on the pod right now.

00:05:32.804 --> 00:05:37.944 And so that's that's been kind of fun and then we've got the secret project going, 00:05:38.684 --> 00:05:42.284 jenny long and i have a secret project and that's 00:05:42.284 --> 00:05:45.164 almost done so in fact that might it that could 00:05:45.164 --> 00:05:49.844 be done by now too because i'm not in charge of it so which is by the way the 00:05:49.844 --> 00:05:54.044 perfect way to be if you can be not in charge of something you should you know 00:05:54.044 --> 00:05:57.024 if you don't have to be the trip leader don't be the trip leader that's what 00:05:57.024 --> 00:06:03.184 i say so all that's good and uh we can move forward And that's exactly what we're going to do. 00:06:08.024 --> 00:06:11.764 So one of the questions I want to ask you, because I think it's a reasonable 00:06:11.764 --> 00:06:16.284 question, and please, whatever you say as an answer is a fine answer. 00:06:16.464 --> 00:06:21.184 Don't think there's a right answer or a wrong answer or feel guilty or joyous. 00:06:21.764 --> 00:06:26.344 It's just a question, and that's all it is.

In the best way I can ask this question, 00:06:26.504 --> 00:06:30.164 it's not laden with a bunch of meaning. It's just a question. 00:06:30.844 --> 00:06:36.164 And the question I want to ask you is, how is your work going? 00:06:36.264 --> 00:06:39.524 And I don't mean how do you feel about your work, although that's important 00:06:39.524 --> 00:06:40.804 and I'll talk to you about that anytime.

00:06:41.484 --> 00:06:44.584 But how's the work you're doing in your organization going? 00:06:45.344 --> 00:06:49.304 How's it happening? What do you think is going on? 00:06:49.304 --> 00:06:52.224 And part of what we are challenged by, 00:06:52.404 --> 00:06:57.284 which is kind of why I think I talked about the ring that keeps bio data or 00:06:57.284 --> 00:07:01.004 the watch that keeps bio data or the fact that your phone kind of keeps bio 00:07:01.004 --> 00:07:05.724 data is because collecting data is valuable.

00:07:06.917 --> 00:07:11.957 But it's the interpretation of the data. It's what the data means that is the 00:07:11.957 --> 00:07:13.357 most important part of it. 00:07:13.777 --> 00:07:16.797 And one of the challenges, I really think we have it. 00:07:16.897 --> 00:07:21.857 It's a pretty interesting challenge is that I'll bet you have lots of numeric 00:07:21.857 --> 00:07:25.677 data collected on the status of your organization.

00:07:25.837 --> 00:07:30.917 A pretty good bet that you guys measure a bunch of stuff and you track it and 00:07:30.917 --> 00:07:35.517 you trend it and And you look at it, and that data is there. 00:07:35.957 --> 00:07:41.577 But one of the things that I think is missing, and it's probably because it's 00:07:41.577 --> 00:07:45.057 not terribly empirical, so it's not very scientific. 00:07:45.977 --> 00:07:50.037 And yet, I would suggest it's incredibly important. 00:07:50.517 --> 00:07:54.957 And that is asking people how they feel about your program.

00:07:55.517 --> 00:07:59.997 How they feel about the work you do. How they feel about the organization. 00:07:59.997 --> 00:08:05.697 And not in some survey, because I think people are incredibly over surveyed, 00:08:06.317 --> 00:08:07.677 remarkably over surveyed. 00:08:08.357 --> 00:08:13.217 In fact, I would suggest one of the things that we suffer from is something called survey fatigue.

00:08:13.817 --> 00:08:20.757 We take so many surveys so often for so many reasons that they no longer really 00:08:20.757 --> 00:08:22.017 are terribly meaningful. 00:08:22.677 --> 00:08:26.977 I mean, if you think about it, how many times have you been asked to rate an app? A bunch. 00:08:27.317 --> 00:08:30.937 I mean, that's a survey.

That's what that is. It's a Likert scale. 00:08:31.577 --> 00:08:37.017 And it's not very meaningful. And so what we really need to do, 00:08:37.157 --> 00:08:42.417 and most of us, I think, probably are pretty good at this, is to actually go 00:08:42.417 --> 00:08:46.097 out and talk to the people who make up our organization.

00:08:46.897 --> 00:08:50.977 And so the question I want to ask, the one without a lot of agenda to it, 00:08:51.317 --> 00:08:57.677 is when's the last time you went out and asked people how the organization is doing? 00:08:58.417 --> 00:09:06.117 Just an open-ended, big, fat, non-empirical, feeling-based, qualitative data 00:09:06.117 --> 00:09:09.277 question that says, how are we doing? 00:09:10.037 --> 00:09:14.277 Because I want to suggest to you that that question, even though it's hard to 00:09:14.277 --> 00:09:21.817 track, it's hard to trend, it's hard to measure, is incredibly interesting and vitally important. 00:09:23.057 --> 00:09:29.057 Asking that question opens up a conversation.

It opens up an opportunity to tell you how. 00:09:29.177 --> 00:09:33.697 Because one of the things you have to bargain for is if you ask people how we're 00:09:33.697 --> 00:09:38.617 doing, then you have to be brave enough to accept the answer they give you. 00:09:39.477 --> 00:09:43.257 And sometimes they're going to tell you we're not doing that good. 00:09:44.232 --> 00:09:47.672 We could be better here.

We suck here. This is not effective. 00:09:47.992 --> 00:09:53.612 And because those things are in the conversation, that's a really important 00:09:53.612 --> 00:09:59.052 part of what we want to talk about with the people who make up our organization. 00:09:59.492 --> 00:10:02.972 Because the expertise they bring to the table is quite remarkable.

00:10:03.112 --> 00:10:04.672 It's vital, too. It's important. 00:10:05.152 --> 00:10:09.412 But what it really does is allows this conversation to happen. 00:10:10.112 --> 00:10:13.632 And change, as you know, because we've talked about it a bunch before.

00:10:14.572 --> 00:10:20.732 Change happens organizationally, not on a strategic plan, not in a project plan 00:10:20.732 --> 00:10:24.992 for change management, but it happens one conversation at a time. 00:10:24.992 --> 00:10:30.812 And what takes place when you ask how we're doing is we open up the opportunity 00:10:30.812 --> 00:10:36.692 for conversations to happen that could potentially change everyone, 00:10:37.172 --> 00:10:40.912 not just the workers doing the work, the workers who have the expertise on your 00:10:40.912 --> 00:10:46.972 system's rigidity or flexibility or resilience or your system's brittleness, 00:10:47.492 --> 00:10:48.772 your system's weaknesses. 00:10:48.772 --> 00:10:53.612 Workers understand that really well, but it also changes the conversation that 00:10:53.612 --> 00:10:56.092 leaders have about their organization. 00:10:56.372 --> 00:11:01.972 And they start to talk differently about what's happening in that organization 00:11:01.972 --> 00:11:05.452 and what they're hearing happening in that organization.

00:11:05.792 --> 00:11:09.392 And it makes quite a change. 00:11:09.972 --> 00:11:16.852 So I spent about a week working on a project where we really addressed one kind 00:11:16.852 --> 00:11:18.152 of interesting question. 00:11:18.772 --> 00:11:27.752 And that was the workers who work for us are changing what they need and want. 00:11:28.775 --> 00:11:37.935 Are our organizations reflecting that changing desire and demand from the workforce?

That was the question. 00:11:38.775 --> 00:11:42.855 And it was really an interesting question because, man, I learned a ton. 00:11:43.155 --> 00:11:50.715 I learned that organizations that are actually quite successful now in sort 00:11:50.715 --> 00:11:56.355 of contemporary operations build relationships quickly with their workforce. 00:11:56.835 --> 00:12:00.455 That's really important.

and they create a sense of connectedness. 00:12:00.775 --> 00:12:06.195 And that relationship building, that quick relationship building is oftentimes 00:12:06.195 --> 00:12:13.235 what would normally be kind of the probationary period is now seen as an opportunity 00:12:13.235 --> 00:12:15.775 to build this very quick relationship, 00:12:16.275 --> 00:12:21.675 full well knowing that the same company that builds really quick relationships 00:12:21.675 --> 00:12:27.275 also has learned how to say very quick goodbyes. 00:12:27.275 --> 00:12:32.995 So they no longer see workers as a long-term part of their strategy, 00:12:32.995 --> 00:12:38.155 as a long-term investment operationally, as somebody that'll come in on day 00:12:38.155 --> 00:12:40.095 one and stay 25 years and leave. 00:12:40.555 --> 00:12:43.895 They've built a system where it's easy to get into the company.

00:12:44.355 --> 00:12:51.095 It's easy to feel welcomed, which dramatically influences performance and sort 00:12:51.095 --> 00:12:53.535 of helps build culture, believe it or not. 00:12:53.535 --> 00:13:00.335 Full well knowing that the relationship will be short term and very functional. 00:13:00.575 --> 00:13:04.395 It'll serve a purpose and it will end quickly. 00:13:05.378 --> 00:13:12.318 Now, I don't know how you feel about that.

I'm an old guy with old guy ideas and old guy stuff. 00:13:12.758 --> 00:13:19.698 That just seems complete opposite of what my entire career was spent doing, 00:13:20.118 --> 00:13:27.118 building long-term relationships with development path and an arc and a salary 00:13:27.118 --> 00:13:34.378 management strategy over years to develop workers into the next layer of leadership. 00:13:34.378 --> 00:13:40.498 And what we're learning from our observations, from our conversations with companies, 00:13:40.518 --> 00:13:44.678 is that, in fact, that's not terribly successful. 00:13:44.998 --> 00:13:49.578 In fact, what they told me is that it's kind of disappointing.

00:13:50.038 --> 00:13:52.138 You'll always kind of have your feelings hurt. 00:13:52.818 --> 00:13:58.078 Instead, you want to build connectedness quick. So build friendships quickly, 00:13:58.538 --> 00:14:03.638 build the relationship early, full well knowing that it's impermanent. 00:14:04.378 --> 00:14:09.078 It won't last forever.

It can't last forever. And nobody wants it to last forever. 00:14:09.718 --> 00:14:15.698 That's a really interesting challenge. And it sort of builds the case for are 00:14:15.698 --> 00:14:19.158 we out there talking to the people that work with us?

00:14:19.638 --> 00:14:22.118 And the more I thought about this, because, you know, I was in the middle of 00:14:22.118 --> 00:14:25.278 this big discussion and it was freaking me out. I'll just be honest. 00:14:25.458 --> 00:14:29.218 It was quite the dramatic freak out. 00:14:29.738 --> 00:14:33.118 It made me think i don't think at least 00:14:33.118 --> 00:14:36.018 for me personally i'm going into the field 00:14:36.018 --> 00:14:39.438 and having the right conversations i think i go to the field more 00:14:39.438 --> 00:14:46.798 like a anthropologist you know to learn to watch observe learn to really stand 00:14:46.798 --> 00:14:51.738 there and pay attention to what's going on and i think what's missing is the 00:14:51.738 --> 00:14:57.018 opportunity to have that conversation because i wish i had known that this idea 00:14:57.018 --> 00:14:58.798 of building relationships fast, 00:14:59.018 --> 00:15:03.558 creating connectivity quickly, and knowing it's impermanent and will end.

00:15:03.778 --> 00:15:08.458 So building sort of strategies to end the relationship quickly was going on. 00:15:09.511 --> 00:15:13.651 But it is. I mean, that's definitely happening. And companies that are good 00:15:13.651 --> 00:15:18.651 at sort of functioning in this contemporary reality are good at doing those things.

00:15:18.891 --> 00:15:23.071 They do other things as well. I mean, there's way more information. I learned a ton. 00:15:24.031 --> 00:15:28.831 That is dramatic.

And I don't want to be caught off guard. Neither do you. 00:15:29.211 --> 00:15:34.851 I mean, the thing that I've always tried to remember is that not knowing does not make you smarter. 00:15:35.451 --> 00:15:39.871 And so if you're caught off, if you're surprised, that means you didn't know.

00:15:40.071 --> 00:15:41.971 And if you didn't know, it means you didn't ask. 00:15:42.431 --> 00:15:50.571 And so I started thinking, well, you know, I think I have to shift from my observer of workers, 00:15:51.171 --> 00:15:58.191 kind of an awe-inspired observer of workers, to really more of a person who's having conversations. 00:15:58.891 --> 00:16:04.511 Who's not just learning, but also building relationships and communicating. 00:16:05.311 --> 00:16:10.671 That was really earth shattering to me.

I mean, I would totally be interested 00:16:10.671 --> 00:16:11.531 in what you're thinking. 00:16:11.951 --> 00:16:17.591 Cause it just, I was just like, wow, that happened. That's kind of amazing. 00:16:18.131 --> 00:16:22.471 I mean, that's, that's sort of remarkable to me that that took place.

00:16:22.951 --> 00:16:31.151 And that what I was learning is that ultimately I was going to the right places. 00:16:31.151 --> 00:16:34.731 I don't feel like I was not doing it I was doing what I thought was the right 00:16:34.731 --> 00:16:38.511 thing to do, but I just was not having the right conversations. 00:16:38.911 --> 00:16:44.211 And what's remarkable about not having the right conversations is that you learn 00:16:44.211 --> 00:16:47.871 quickly it's you, not them. 00:16:49.013 --> 00:16:53.953 And that's pretty meaningful.

I mean, it's kind of a little bit of slap in the 00:16:53.953 --> 00:16:59.913 facey, a little bit of, hey, your baby's ugly, but also kind of encouraging in that, 00:17:00.153 --> 00:17:06.913 as Charlie McMillan, one of my impressive bosses at Los Alamos said to me, 00:17:07.333 --> 00:17:09.753 sometimes we drift into the wrong question. 00:17:10.233 --> 00:17:16.793 And that's okay, as long as we check it. The power we have to go to the field 00:17:16.793 --> 00:17:23.013 and simply build conversations about how it's going is remarkable. It's not measurable.

00:17:23.493 --> 00:17:28.873 It's probably not trackable and trendable, although AI is allowing us to trend 00:17:28.873 --> 00:17:31.293 conversations in ways I never imagined would be true. 00:17:31.433 --> 00:17:37.413 But it's not traditional data collection, but it probably is important data 00:17:37.413 --> 00:17:42.673 collection. And so those conversations you have going out to the field to ask 00:17:42.673 --> 00:17:45.233 those questions, you've done it forever. 00:17:45.713 --> 00:17:51.013 Those conversations are a really, really important component to creating success, 00:17:51.013 --> 00:17:56.413 not just safety success or reliability success or resilience, 00:17:56.413 --> 00:17:59.153 but also operational success, 00:17:59.613 --> 00:18:01.533 emotional and personal success.

00:18:02.313 --> 00:18:05.973 You're really creating the culture you want to have and 00:18:05.973 --> 00:18:09.053 you're doing it through a series of conversations and the benefit and 00:18:09.053 --> 00:18:11.733 it's a pretty big benefit is that you get to 00:18:11.733 --> 00:18:17.293 learn learning is a powerful tool no question about it and getting the opportunity 00:18:17.293 --> 00:18:24.253 to learn well that's worth its weight in gold so that is a little podcast not 00:18:24.253 --> 00:18:28.273 a big one i told you it's just gonna be a little conversation but i think it's 00:18:28.273 --> 00:18:31.153 an important conversation it's the one we should be having. 00:18:31.440 --> 00:18:38.640 Music. 00:18:38.903 --> 00:18:44.663 So where does this all take us? Well, there's a good little epilogue to everything we've talked about.

00:18:44.823 --> 00:18:51.263 And that is that I'm going to encourage you this next year as part of your resolution 00:18:51.263 --> 00:18:58.363 to actually build more time to have conversations with groups of workers asking 00:18:58.363 --> 00:19:03.443 pretty direct questions about how we're doing. How's it going? 00:19:04.223 --> 00:19:08.803 How's work control, work management working? Where are the pain points?

00:19:09.483 --> 00:19:13.283 Where are we safe? Where are we not safe? Where are we fragile and brittle? 00:19:13.723 --> 00:19:15.603 Where are we robust and resilient?

00:19:16.223 --> 00:19:21.323 And having those conversations with pretty great regularity not only gives you 00:19:21.323 --> 00:19:23.843 information, which means you're going to have to do work. I mean, 00:19:23.943 --> 00:19:25.063 there's no question about that. 00:19:25.343 --> 00:19:30.523 But it also gives you the opportunity to really craft the environment you hope you have. 00:19:30.723 --> 00:19:33.803 Build that notion that it's okay to tell you the truth.

00:19:34.283 --> 00:19:37.363 And that even more importantly, it's okay to push the boundaries of that. 00:19:37.983 --> 00:19:42.263 Let me tell you where we have to break the rule in order to get the work done. 00:19:42.863 --> 00:19:45.983 Because knowing that before something bad happens, well, that's the very best 00:19:45.983 --> 00:19:50.803 time to know that. You know that as well as I do.

And it also makes it kind of groovy and cool. 00:19:51.763 --> 00:19:56.743 And I think you'll find it to be a really important tool. If you're not using 00:19:56.743 --> 00:20:01.983 it already, and probably all of us are, but I wonder if we've decided and learned 00:20:01.983 --> 00:20:04.863 how to leverage it to really make a difference. 00:20:05.683 --> 00:20:07.903 That, I think, is a cool thing to talk about.

00:20:09.043 --> 00:20:12.963 Have fun. I mean, I'm wishing you the best. It's going to be a grand, 00:20:13.163 --> 00:20:17.123 grand time. We're right in the middle of, you know, all the stuff happening, so that's cool.

00:20:17.823 --> 00:20:20.503 Learn something new every single day. Have as much fun as you possibly can. 00:20:20.543 --> 00:20:24.163 Be good to each other. Be kind to each other.

And for goodness sakes, you guys, be safe. 00:20:25.040 --> 00:20:35.926 Music.

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