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Did I tell you about this?

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And they said, I've been listening to the Pivotal Conversations podcast.

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And if you bulk listen to them, that's not what the kids say.

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They say binge.

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If you binge listen to them, you can start to pick up a lot of background about what's

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going on with you two in your lives.

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Now, one, as I'm saying this, it occurs to me that you are, aside from your sartorial

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choices and how you survive the rain, you're very mercurial about not revealing

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very much about you.

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I mean, no one really even knows you could live in Kansas City, Antarctica.

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I don't think people even know where you live.

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Wow.

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No, that's true.

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I maintain tight control over my personal life.

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That's right.

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Now, that said, I wanted to give an update.

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Everyone knows I'm here in Amsterdam.

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Today in Amsterdam, very hot.

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And I don't know how Celsius works, but it's 91 degrees, according to my Apple Watch.

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Fahrenheit, which is hot.

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And the problem is there's no air conditioning here.

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I mean, it's not standard.

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It's not normal.

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So you kind of, like I was biking home from picking up the kids and, you know, it was hot,

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but not okay.

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And then it dawned on me that I'm not going to go home like I would in Texas to an ice

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cold house to cool off.

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I mean, you're wearing those wooden shoes.

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Those really air it out, though, don't they?

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They do.

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They do.

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They actually smell a lot better than you would think they would, being wood.

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You just use a coarse-grain sandpaper after a couple hours, just clean out all the gook.

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I completely buy that.

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I was talking to one of my neighbors, and he said, I asked, speaking of being slightly,

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is the right word, obsequious?

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I said, so do people swim in the canals around here?

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And he was like, oh, yes, everyone swims in the canals, lots of people.

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And so I said, yeah, like, is it, I mean, is it, like, is it, like, clean?

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And he's like, hmm, not really.

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And then I said, so do you swim in the canals?

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And he said, no.

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If you do, I would take a shower afterwards.

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So I think, you know, he gave a good review.

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But I think there's, I'm learning this pattern of when you ask for recommendations is you

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ask specifically, this is like a net promoter score, I guess.

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You ask specifically, like, would you do this, right?

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Never mind what you think is the situation.

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So I guess what I'm trying to say is, is if we don't, if we don't publish or record next

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week, it's because I, uh, I dove into the canal and might've punctured my head with a

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bike that, uh, had fallen on there.

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Oh my goodness.

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Yeah.

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You've got lock jar tetanus or something.

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That's good.

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Uh, yeah.

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I mean, I love that he wouldn't have volunteered that if you didn't ask, like, I'll go swim

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in the canals.

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There's bodies and whatever else in there.

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It's fine.

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Exactly.

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That's, that's, that's a, uh, uh, I guess it might be a slightly relevant to, uh, our

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guest here, which you heard a little bit before, you know, like you find, you've got to find

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out how to interview people appropriately to like pull the information out of them.

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Otherwise, otherwise they, uh, they don't tell you things that are helpful.

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Right.

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You swim in canals full of barnyard animals or whatever else the problem is.

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There are, there is a swan family that lives in the canals with the mother swan.

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And well, you know, I don't want to be presumptuous, but let's just, let's be figure out, you know,

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swans.

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Probably you got the, the mother and the father swan and, uh, they've got about maybe six

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or seven swan babies.

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And I feel like if I encountered the swan family in the canal, I would be toast.

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They would do away with me.

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Yeah.

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That's their natural habitat.

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Yeah, exactly.

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Well, why don't you introduce yourself guest?

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Awesome.

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Uh, thanks for that, uh, awesome anecdote.

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Uh, I'm Alex, I'm a staff product designer, uh, pivotal labs and up here in beautiful Seattle.

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And, uh, yeah, I'm excited to be here with both of you.

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Now, I, uh, I assume you and Richard ran into each other.

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You were chatting maybe around the coffee and, uh, yeah, yeah.

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I see him around.

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I don't know, you know, always learning new things about Richard, especially on this podcast.

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But, uh, uh, it's always been a pleasure.

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That's good.

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That's good.

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Tell us one new thing.

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Is he, uh, how much coffee does he drink a day?

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Do you, uh, do you see him surfing over there?

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Uh, we have really good coffee up here in, in Seattle.

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And so I'm sure he imbibes, uh, a good amount, but, uh, I don't know if he's the top, uh,

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consumer.

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I mean, there are folks who are really...

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I mean, Coté, we've, Coté, we've done a podcast for two years and you don't know I

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don't drink coffee.

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Oh, no, no.

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I was just about to chime in with that.

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If, uh, if, uh, well, at first I wasn't testing, but then my memory, uh, I've tried to explain

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to my family that my memory is like five minutes behind reality and, uh, it comes in.

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But yes, I, I do remember, I guess if you were to go look at the, uh, the fan Wikia for

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Pivotal Conversations, you could look up episode, I don't know, 98, where, uh, we discovered

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that Richard does not drink coffee.

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Yeah, Richard doesn't do hot drinks.

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Yeah, but I mean, I'm, I'm really owning the, uh, the Coke Zeros in the Seattle office.

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Oh, I see, I see.

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Okay, okay.

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Your little, uh, your little, who's the, uh, who's the, uh, man, I'm going to have to wrap

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up this inanity at the beginning, but who is the, um, who's the, Carl Lagerfeld there?

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Carl, he, he, uh, recently passed away.

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Oh, Lagerfeld?

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But he infamously drank Coke all the time, diet Coke all the time.

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So, uh, now it's not Coke Zero, but I think you're in good company.

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You've made some of those decisions.

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That's right.

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All right, well, uh, let's go over some news first in the tech world to remind ourself

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of, uh, why we're here.

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And then, uh, we'll, we'll talk a little bit with, uh, with Alex and see what's going on

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with that.

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And as always, if you have anything to contribute to the news items, Alex, feel free to, uh,

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to chime in or not.

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Awesome.

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Uh, well, uh, there's, there's a new, uh, Pivotal Cloud Foundry release out, I believe

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2.6.

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You wanted to tell us what's in that, Richard?

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Yeah, depending on when you publish this, you'll actually be breaking the news since I don't

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think we've published a blog post, but it is, uh, going live today here this, uh, Tuesday.

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So there's a lot of good stuff in there for Spinnaker and Concourse.

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First time, if you're doing CI, CD stuff with Spinnaker, really sophisticated deployments,

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that all works great with PCF.

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Now, uh, we've had things like sidecar processes so that you can deploy an app and have a little

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process sit next to it and do things like, you know, access the file system or do I have

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the transformation or things like that.

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Uh, there's also app revision.

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So once you deploy something, the PCF and PAS, you can actually roll back to a previous

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version very easily.

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That's the first time you could do that.

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Uh, we've generally available the AWS service broker.

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So connecting to all the sort of data services and machine learning stuff, all that's readily

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available now as well.

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So lots of good stuff in there, some KS updates and more stuff for Bosch aficionados and things

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like that.

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So a lot of good stuff in two six that's out today.

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And, and then, uh, somewhat related, you know, in the world of developers, just, just, uh, just

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briefly to kind of as a pointer to it.

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So I think it was a jet brains came out with their developer survey and I forget how many

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years they've done this, but I think it's one of those, uh, reliable, uh, yearly sort

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of things that you can start to look at.

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And, uh, we talked about it a little bit on my other podcast software defined talk.

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Last, uh, I was going to say last year, last week, excuse me, but, um, I think, I think

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one, as always, you see that, uh, Java and the spring framework is, is very widely used

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there.

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Uh, you know, those are perennial favorites.

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And I think, I think, I think the other, the other angle, which I talked about on, on

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that other podcast a little while ago that, that I think is, it's always interesting to

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look at this is, um, how ubiquitous, but sort of unchanging the adoption of things like unit

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test and, uh, continuous integration and things are so like with unit testing, it's at about

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like, I don't know, 70, 75%.

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And, um, I think, I think as, as any sort of like NBA spreadsheet jockey will tell you,

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like your, your market share is never really going to get above that except maybe for breathing

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oxygen that has very good market share in the triple digits.

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Uh, but like, I, I think, you know, so maybe unit testing is like the, the height that we

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can achieve around 70.

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But then if you look at like build pipelines and stuff, it seems to be hovering around like

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30 or 40% or maybe even lower, which going back to, uh, around 2014 or so when I was doing

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a roundup of this time and, and different, I think it was info queue surveys back then I

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would look at, but, uh, it was kind of at a similar level.

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And so, you know, without getting all nerdy about how surveys work and stuff, like it seems

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like, uh, you know, speaking of like Spinnaker and concourse and stuff, there's, there's plenty

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of room for people to automate their builds more.

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Hmm.

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No, it's a good point.

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I noticed that too, on that survey, some of the, the main points there on how many folks

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were doing CICD, how many were doing not unit was popular, as you mentioned, but integration

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test was fairly low.

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So that was interesting.

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Some other stuff.

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I mean, you mentioned boot and even Apache Tomcat, which was a leading contributor of

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66% of the app server usage.

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21% was number two and spring boot was also 60 something percent, just 12% for the next framework

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that most popular.

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So cool to see some of these, these pivotal technologies take over.

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The other thing that jumped out to me, I don't know if you noticed it was 70% are happy with

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their database and not planning to migrate.

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Boy, if you're selling databases, that's a tough space.

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Cause everyone seems locked into whatever they have.

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Yeah.

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So I thought that was interesting.

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That is, I like that.

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See, speaking of questions, that's good.

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Are you happy with solution X that the, the, the way that's phrased is good, but yeah,

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no, you're right.

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It is, uh, yeah, it's hard to move off a database, especially if it just works, which

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I think is key to happiness.

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Uh, that's right.

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And it's good enough.

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So, I mean, there's so many cool databases out there, but you'd think it's gotta be so

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tough.

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It's brand new apps to get people on there.

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Yeah.

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Yeah.

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That would be interesting to look at.

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Like if that was one database or all the databases you were using, what are you going to do?

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Just sort of open up the info pane and preview for the PDF and drill down into it more.

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See, see what's in there.

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Have you ever noticed, do you ever do this where there's a published PDF?

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I like to go look at like a white paper, go look at the info page.

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And like most everyone uses InDesign to pump it out, which I guess makes sense.

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But InDesign, huge market share in the white paper PDF market doing very well there.

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True facts, true facts.

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Uh, well, related to that, uh, we also, uh, to, to PDF market share, not really, but,

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uh, we, we have a lot of coverage of the, uh, the spring runtime that offering that we've

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released, which bundles up, uh, an open JDK, uh, basically runtime for you and, uh, has

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support behind it, but also bundles Tomcat into it, uh, which, which I think, uh, covers

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most of the scenarios people would have.

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I think, I think, as we were just saying, tons of people run Java, lots of people run

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Tomcat and, uh, many of them have spring.

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So you've got kind of like the three main things, if you're doing Java development that, uh, you

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would be interested in.

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Yeah.

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Specifically everywhere.

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Cause I think people associate us with spring and things like cloud foundry versus run this

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on bare metal, run this on VMs, run it on windows or Linux, run it on Kubernetes in the

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cloud on-prem, all of that's now supported.

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So if you're looking for that full stack Java support, Pivotal actually has a pretty good

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story now.

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Specifically everywhere is a phrase I'm going to start using.

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I think that, uh, that points out the totality of something.

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It does.

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So if you, there's a, there's a lot of other exciting things, but if you were to pick out

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one more, Richard, what do you think is worth highlighting?

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One more news item.

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Yeah, there's a, uh, I put in here, there's a Kubernetes release that just came out one

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15 and that was actually led by a pivotal person, Claire, which was pretty cool to see

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that have the other thing I tweeted yesterday.

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Cause I did a quick look and saw like how, how well is everyone keeping up?

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Cause a year ago, it seemed like everyone was running like their cloud service or their

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private Kubernetes thing on the latest version, but has everyone caught up?

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And I thought it was interesting that, uh, Amazon's elastic, uh, Kubernetes service, uh,

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there's AKS and Google's GKE are all defaulting to still one 12 Pivotal is doing one 13.

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We'll actually ship one 14 in our PKS update coming up.

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Red hat's also one third.

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So just pointing out, and you know, you always trail a little bit, but it seems like potentially

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that lag between the full release and this being available in some of the commercial and

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cloud prices is a little thinning a bit.

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And just to me, China drives home, it's hard to keep up to date, even on quarterly releases

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for the cloud providers.

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So hopefully a normal, a normal customer is Kubernetes has a strategy for keeping up to

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date because it is hard and thinking you're going to manually do that in all your clusters

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seems pretty optimistic.

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Now, I don't, I don't know if you're working on a new, like maybe your 10th plural site course,

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Richard, but maybe, maybe to align with one of your professional hobbies, you could use an

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example application that basically automatically every day checks which version of Kubernetes

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is running where.

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That would be just a fun little splash page people could refer to.

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Like this is probably, this is still the case, but you remember in the, the heyday of the

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OpenStack world, I think Mirantis ran this site, but there was a site that would do like

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lines of code by contributors.

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And then you could see who all the top contributors were for things.

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People love that.

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And I think, yeah, you can see those for, you can see those now for all the cloud native

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computing fund.

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There you go.

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And I think, I think that, you know, the, uh, which version of Kubernetes are you running?

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That's, uh, people would love that similar sort of thing.

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Just a dashboard information radiator, uh, as they used to call it.

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So, so I like these ideas.

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Thank you.

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Thank you.

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If you note that in your, uh, your ice box, that's great.

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When you're having a Coke zero staring out the window and in Kansas city or wherever it

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is, you may reside.

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Uh, well, uh, with that, why, why don't you tell us what you do around here?

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Guest.

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Uh, Hey, uh, it's great to be here.

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Uh, I'm Alex, a staff product designer at Pivot Labs in Seattle.

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Uh, yeah, it's great to be here.

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What's, uh, so what does a product designer do at Pivotal?

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Yeah.

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Thanks for asking.

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So we, uh, work with clients, uh, large and small to both help, uh, build products, but

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also help build, uh, that client's user-centered design practice.

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And so, uh, we typically, uh, have engagements, you know, a few months long, uh, bringing clients

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to the office, uh, and help them really grow their sense of how, um, they should validate

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or invalidate, uh, their assumptions, their experiments into building a product.

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I, you know, this is actually, uh, I've been right in the middle of this week of, of trying

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to find and write up these kinds of things where basically, uh, well, you use the keyword

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there where you're, you're validating and invalidating things, uh, and walking through

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it.

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And, and, and I mean, I think just, uh, you know, you can anonymize it or whatever,

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but like, can you give a couple of examples of like what that looks like, like to give

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you the template, like, Hey, I'm working on some software and I think I should have this

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feature and implement it this way.

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Is that a good idea or not?

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Now when I find out like, like what, uh, what are some instances of what that looks like

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to give people a sense for what that, that process looks like?

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Totally.

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And, uh, yes, I'll definitely be very anonymous.

301
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Uh, so sometimes it's extremely ambiguous.

302
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And I think that that's where, uh, design, uh, in a well-balanced team with product and engineering,

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uh, really gives our clients, uh, the most value when they come and actually they oftentimes

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don't know what their priorities are and they actually have not clearly articulated their

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assumptions.

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And so for example, I landed in an engagement, I think, uh, two engagements ago, uh, my second

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day, uh, I was speaking with the chief architect and, uh, we were going through, uh, the different

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projects that the team was having.

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And, uh, the second priority, uh, we were going into and, and they said, Oh, you know, uh, a

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VP has told us that, you know, we have to do this project because it's going to unlock

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$9 billion worth of value.

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And I kind of paused there and I, and I just asked, how do you know that?

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Right.

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And, and they all kind of just stop.

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Right.

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And they're like, thank you.

317
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How come no, no one has asked this question, uh, before.

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And I was like, really?

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Uh, and so, you know, breaking that down a little bit, that phenomenon, it, it, it,

320
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it happens at a few different levels.

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One is, I think that sometimes people, uh, just at a consulting level, uh, you know, they

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in their organization may be faced with some inertia or they, you know, are just in a rhythm

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and they, uh, need to break out of it to ask those fundamental questions.

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And I think that sometimes people, uh, get caught up in when they think about design and just

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the visual aspects.

326
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Uh, but really when design is, in my opinion, uh, properly deployed as part of the whole team,

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they're taking everyone's, uh, abilities and disciplines and really helping, especially in

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the early days, uh, of the product development process, help, help the team confront those

329
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assumptions really head on and, and break them down even at the organizational level.

330
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So the team in that instance had, uh, not only kind of, you know, taken this mandate from a

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VP, but after actually conducting user research with the people who were intended to unlock this

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$9 billion of value, uh, we actually also learned eventually that, that VP had no strong stake

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in unlocking that value.

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It was just kind of a casual thing, a casual hypothesis that this VP had thrown out and the

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team themselves had interpreted it as a mandate.

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And so not only did we, uh, eventually actually by doing user research and validate, uh, that

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this was something that was going to deliver any value at all, we also help them gain confidence

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in interpreting and understanding information that was coming from powerful people and helping

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them digest that and say, wow, like we had an assumption that someone more powerful

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than us would be telling us something and that regardless of their tone or messaging, we had to do it.

341
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And that wasn't the truth in this case.

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And so I think that it's really valuable for people to really step back and, uh, just have

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real conversations about what they think is true and to help everyone to have those authentic

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conversations and, uh, try to find the truth in the heart of the matter.

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Interesting.

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So one thing is you're, you know, I know we have people come to us and our office

347
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here in Seattle, all our other couple of dozen pivotal labs offices that, to kind

348
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of learn how we work and start to maybe even get that mindset in place.

349
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What are those agile rituals that you think matter the most?

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Like what are those ones that people come in and we have to kind of show them or just kind

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of get them in the habit of?

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And, and then secondarily to that, I want you to answer, how do we make that doesn't just

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become ceremony when it's like, all right, stupid standup time.

354
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So what are the ones that matter?

355
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And then how do you keep them fresh?

356
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Totally.

357
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Um, so Richard, I appreciate you saying the word habit.

358
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Uh, I feel like, um, that's something that we do a great job of is instilling those rituals,

359
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uh, into the teams that we work with and creating those habits, right?

360
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Those, that muscle memory, uh, because I think that, uh, rituals really are built on that foundation,

361
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built on that, that habit forming, uh, abilities of humans, uh, to enable those types of practices

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to have momentum.

363
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Um, but to your kind of second point of your question, uh, any type of habit or ritual or

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practice that does not then, uh, connect to the principle or outcome that it's trying to drive

365
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can, can, can just become like, uh, a ceremony, right?

366
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Almost like, uh, just ceremony for ceremony's sake.

367
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And I think that, um, what I try to do, and I think, uh, what other folks in labs really try to

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do is really pair, um, those rituals, uh, with those principles and reinforce them over time.

369
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Uh, because if those become decoupled, then it doesn't work.

370
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And so I'll give you an example, um, with retro, for example.

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So, you know, uh, in a typical labs practice, uh, we have retro, we have iteration planning

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meetings, we have company and team standup, um, just an example of, uh, uh, team retrospectives

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at the end of the week, uh, I've seen them be extremely impactful and also, uh, be kind of,

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uh, uh, uh, not, uh, substantive.

375
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And I think in the not substantive camp, I think where people lose sight of, uh, coming

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to those with humility, um, coming to those with an openness to receive feedback coming to

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those, um, you know, without having an objective perspective, uh, you may not have, you may not

378
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harness the full value of retrospective, which is a time set aside for teams to really catch those

379
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things in the week that may have been festering in terms of team dynamics, or if it's something

380
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that people want to use as time to give feedback on a code base or a design change, uh, making sure

381
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that that's based for that.

382
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And then also just for kind of team gathering and team cohesion, uh, and I've seen, uh, what I've

383
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seen really great is I think that in the beginning of a labs team interfacing with a client team,

384
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sometimes when clients are breaking out of their shell in that beginning, a retro may look more surface,

385
00:23:55,920 --> 00:24:06,480
uh, and not be as deep, but as that trust is formed, uh, the team seeing labs, folks model

386
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that behavior, that openness, eventually it becomes that more substantive ritual.

387
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And I think that's how rituals are so valuable and important to instilling those principles

388
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of, you know, making a team able to have that open communication, that human connection.

389
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And I think that's something that people, you know, when they hear a ritual that supports agile or

390
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XP practices, they think it's highly technocratic or, um, technically focused.

391
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And of course we have discourse over technical topics, but for me, the real like, uh, value that

392
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sometimes like implemented subliminally is that human connection.

393
00:24:56,560 --> 00:24:56,800
Yeah.

394
00:24:56,800 --> 00:25:01,440
I mean, that, that end of week retro is interesting as, as, as you say, for things that we're going

395
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to learn, whether, whether some of the beginning of week things, for most people who don't know,

396
00:25:04,640 --> 00:25:10,880
the pivotal practices that we've kind of run these weekly cycles, what does the week look like?

397
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Totally, totally.

398
00:25:12,240 --> 00:25:17,040
So, uh, uh, as I was, uh, sharing a little bit earlier, right?

399
00:25:17,040 --> 00:25:23,680
We have a whole host of, uh, rituals that we normally run, uh, company and team standup.

400
00:25:23,680 --> 00:25:30,320
So we will have breakfast in the morning together, come together for company standup, uh, and then

401
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break out into our team standup where we talk about helps that we need blockers that we have things

402
00:25:36,400 --> 00:25:42,080
that we worked on previously, uh, and things that we intend to work on today.

403
00:25:42,720 --> 00:25:46,320
Um, and then also we'll have iteration planning meetings.

404
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Sometimes those are earlier in the week, uh, but sometimes, uh, those happen later in the

405
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week as well.

406
00:25:53,120 --> 00:26:00,640
Uh, those are really to help us run through stories, uh, to go through, uh, design and design

407
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changes and to really bring the team around, uh, things that inform the cadence of the week.

408
00:26:06,880 --> 00:26:11,680
Uh, of course there's always a ping pong break somewhere in there.

409
00:26:11,680 --> 00:26:20,640
Um, something that I've also been seeing as we engage with kind of large portfolio work

410
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or large enterprise work is, uh, connection to multi-teams.

411
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And so having, uh, drumbeat type of communication where we also connect, uh, information across,

412
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uh, different, uh, small, well-balanced teams, as well as connecting to like larger, uh, leadership

413
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through things like a growth board, uh, where we talk about, uh, metrics that, um, connect down

414
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to the project team.

415
00:26:51,760 --> 00:26:56,960
Well, you know, this, as, as you've been going over this, I've, I've been thinking about

416
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the, uh, I don't know, maybe it's just cause, cause I'm hot, but the kind of like negative,

417
00:27:02,160 --> 00:27:06,880
uh, mirror image of this, um, which is, you know, we used to have that.

418
00:27:06,880 --> 00:27:11,120
We had this podcast series a couple of years ago now, I think called, uh, that moment,

419
00:27:11,120 --> 00:27:15,840
which was all about like, when was that moment when you decided to, uh, do awesome stuff or

420
00:27:15,840 --> 00:27:18,640
like to innovate something or do a good development.

421
00:27:18,640 --> 00:27:20,240
And it has some nice stories around that.

422
00:27:20,240 --> 00:27:24,560
And, you know, to use the kind of negative version of that, just to hear you theorize

423
00:27:24,560 --> 00:27:28,960
it, like, like, let's say an organization is going around and things are successful,

424
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right?

425
00:27:29,200 --> 00:27:33,280
Like most all large enterprises at some point were very successful.

426
00:27:33,280 --> 00:27:36,720
Uh, otherwise they wouldn't be large enterprises that still exist.

427
00:27:36,720 --> 00:27:38,400
So they figured something out.

428
00:27:38,400 --> 00:27:44,560
Uh, but you know, sometimes, uh, they have, you know, that moment where things start to go

429
00:27:44,560 --> 00:27:45,040
poorly.

430
00:27:45,040 --> 00:27:49,680
Like they forget the bad habits or they become too bureaucratic or, or something.

431
00:27:49,680 --> 00:27:50,160
Right.

432
00:27:50,160 --> 00:27:56,320
Um, and, and I wonder like, like whether it's only in your head or you sit around with people,

433
00:27:56,320 --> 00:28:01,040
like one of the things, and you're kind of just like maybe having some Coke zero or too much

434
00:28:01,040 --> 00:28:01,440
coffee.

435
00:28:01,760 --> 00:28:06,000
And, you know, I used to talk about this with, with my developer friends, which is basically

436
00:28:06,000 --> 00:28:11,360
like, why are these people not doing the thing that obviously is better?

437
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And instead they're kind of like sticking to this other thing.

438
00:28:14,400 --> 00:28:19,200
Like you, you know, as an example, what made me think of this is like, you know, any time

439
00:28:19,200 --> 00:28:24,640
someone uses the phrase unlock followed by billions of dollars, it's probably good to question that,

440
00:28:24,640 --> 00:28:27,440
that phrase and yet no one would.

441
00:28:27,440 --> 00:28:31,760
So anyways, I'm curious, like what you think in a large organization, like how do they get

442
00:28:31,760 --> 00:28:38,240
to this point where they sort of need to be retrained about how to do things in more of a,

443
00:28:38,240 --> 00:28:40,800
uh, I don't know the way you're talking about?

444
00:28:41,920 --> 00:28:42,320
Totally.

445
00:28:42,320 --> 00:28:50,000
Uh, I feel like I've been very impressed with our clients.

446
00:28:50,000 --> 00:29:00,400
And I say this like completely authentically that, uh, many times they have the, uh, foresight

447
00:29:00,400 --> 00:29:09,360
and the talent, um, to think about problems in the way that you're saying to go, because to go back

448
00:29:09,360 --> 00:29:16,320
to that anecdote, um, the architect that I was talking with was like, absolutely, you're exactly

449
00:29:16,320 --> 00:29:16,800
correct.

450
00:29:16,800 --> 00:29:20,800
Like we should not just take this as gospel, right?

451
00:29:20,800 --> 00:29:23,920
That we're going to unlock this $9 billion of value.

452
00:29:23,920 --> 00:29:31,520
Uh, but I think that, uh, to your point, uh, sometimes people need some empowerment and they

453
00:29:31,520 --> 00:29:39,200
need, um, also a container for having those conversations.

454
00:29:39,760 --> 00:29:48,640
And I think that sometimes the macro environments, like they're slammed with seven hours of meetings

455
00:29:48,640 --> 00:29:57,120
a day, right, which is very against kind of our just enough process, uh, practices in labs.

456
00:29:57,120 --> 00:30:05,520
Uh, they have no psychological space or psychological safety sometimes to have those real authentic

457
00:30:05,520 --> 00:30:14,320
conversations that help drive, uh, the types of decision-making, uh, nimble decision-making

458
00:30:14,320 --> 00:30:15,360
to move forward.

459
00:30:15,360 --> 00:30:23,600
And, you know, sometimes I think that, uh, you know, we then come in and we help them establish

460
00:30:23,600 --> 00:30:25,840
these rituals where they can have those conversations.

461
00:30:25,840 --> 00:30:33,280
Uh, but something that I also like to think about is where each context that we go in, in, in labs

462
00:30:33,280 --> 00:30:39,200
is, is totally, uh, totally different, um, engagement and engagement.

463
00:30:39,200 --> 00:30:49,200
And so it, as we like think about principles and first principles, we're also flexing how, um,

464
00:30:49,200 --> 00:30:56,320
rituals and how our practices, uh, need to land engagement to engagement.

465
00:30:56,320 --> 00:31:05,040
Uh, and so just to give a concrete example, you know, this, that client in that anecdote, uh,

466
00:31:05,040 --> 00:31:09,520
they had been with labs for a few engagements now.

467
00:31:09,520 --> 00:31:15,600
So things were really, you know, established and running in terms of standup, in terms of

468
00:31:15,600 --> 00:31:24,160
IPM, uh, and, you know, they really understood, you know, from a designer perspective, uh, the,

469
00:31:24,160 --> 00:31:29,280
the discovery and framing process, like going out and doing user research with users and validating

470
00:31:29,280 --> 00:31:31,040
and validating assumptions.

471
00:31:31,040 --> 00:31:39,200
So they have the tools, but still there was, uh, an emotional gun shyness, maybe I'll say

472
00:31:39,200 --> 00:31:49,200
around questioning or being able to bring up how data, uh, brought out from research could validate

473
00:31:49,200 --> 00:31:54,880
or invalidate someone really powerful, uh, this is assumptions.

474
00:31:54,880 --> 00:32:04,160
And so, um, um, I actually started a new ritual with them that I, uh, going back to our coffee

475
00:32:04,160 --> 00:32:07,600
discussion earlier this morning, um, called design coffee.

476
00:32:08,160 --> 00:32:18,640
And I made it a 10 minute time box ritual every Wednesday to discuss any type of, um, product

477
00:32:18,640 --> 00:32:24,960
or design conversation that may be something that had kind of fallen by the wayside, but

478
00:32:24,960 --> 00:32:30,480
maybe was a little bit emotionally charged, but just needed a space to be talked about.

479
00:32:30,480 --> 00:32:38,640
Um, and, and more, more space than maybe a standup provided, um, and something that I didn't want

480
00:32:38,640 --> 00:32:41,120
to wait for in a weekly retro.

481
00:32:41,920 --> 00:32:49,360
Um, and the outcome of that was, um, we finally had a space to discuss things that weren't specifically,

482
00:32:49,360 --> 00:32:55,840
um, you know, what was going to be refactored this week or, you know, what, um, was going

483
00:32:55,840 --> 00:33:02,400
to be specifically worked on in terms of a database perspective or in the code base, but rather

484
00:33:02,400 --> 00:33:09,760
like, hey, you know, we have these priorities, like, how are we going to understand if this is

485
00:33:09,760 --> 00:33:10,880
our real priority?

486
00:33:10,880 --> 00:33:17,600
Um, and how are we going to prototype or figure out something that we can put up in front of

487
00:33:17,600 --> 00:33:19,760
users to validate or invalidate this assumption?

488
00:33:20,320 --> 00:33:28,960
And so I think that for me, um, having that flexible mindset in terms of, hey, uh, just have

489
00:33:28,960 --> 00:33:36,480
just enough process, but also like if, if there's feels like a need that's not being filled, how

490
00:33:36,480 --> 00:33:44,240
can we be entrepreneurial and instituting any rituals or, or deleting any rituals that are

491
00:33:44,240 --> 00:33:47,680
not serving our, our principles or the outcomes we want to drive?

492
00:33:47,680 --> 00:33:48,080
Yeah.

493
00:33:48,080 --> 00:33:53,120
And, you know, it seems like that last part pulls together, uh, a lot of things, which is,

494
00:33:54,640 --> 00:33:59,280
well, I guess to kind of reformulate like my, my original questions, just as, as reference

495
00:33:59,280 --> 00:34:06,000
for myself, like, like, uh, uh, so you have an organization that's successful and sometimes,

496
00:34:06,560 --> 00:34:12,080
oftentimes what happens is they, they, they start new bad habits, like maybe, you know,

497
00:34:12,080 --> 00:34:16,720
because they're new, they never really had these habits, but they kind of like fall back on doing

498
00:34:16,720 --> 00:34:17,280
these habits.

499
00:34:17,280 --> 00:34:21,520
Now, maybe this habit is that they don't evolve their process to match new ways of doing things.

500
00:34:21,520 --> 00:34:25,760
So they're stuck in the past, so to speak, but you have, you have some bad habit, like,

501
00:34:26,320 --> 00:34:31,520
like to use our example, you don't, you don't question what the boss says as far as like what, um,

502
00:34:32,480 --> 00:34:38,480
what macro and micro strategy is, uh, essentially like, like we were, we did a podcast with, um,

503
00:34:39,360 --> 00:34:40,400
Jonathan Sterlin.

504
00:34:40,400 --> 00:34:41,680
Is that how you say his name?

505
00:34:41,680 --> 00:34:42,080
Mm-hmm.

506
00:34:42,080 --> 00:34:44,960
Remember, remember that one, Richard, about the food service company?

507
00:34:44,960 --> 00:34:46,720
And, uh, yeah, that was great.

508
00:34:46,720 --> 00:34:51,360
And the bosses were basically like, you know, what we need to do is, uh, you should put recipes

509
00:34:51,360 --> 00:34:52,560
on iPads in the kitchen.

510
00:34:53,120 --> 00:34:57,600
And, uh, so normally, you know, you would put recipes on iPads in the kitchen, but instead

511
00:34:57,600 --> 00:35:00,800
the team went there and they were like, you know, what actually is a problem is they're always,

512
00:35:00,800 --> 00:35:04,880
they're spending all this time measuring the mayonnaise and that really like clogs up the system.

513
00:35:04,880 --> 00:35:08,720
So we should fix that problem first, which is, you know, it's a good example.

514
00:35:08,720 --> 00:35:15,440
I think of, um, questioning authority is like, you know, some nineties black bandana breaking

515
00:35:15,440 --> 00:35:19,520
a McDonald's window way of putting it, but like, it's sort of like a process of truly

516
00:35:19,520 --> 00:35:23,120
discovering what you should be doing by not assuming things.

517
00:35:23,120 --> 00:35:27,120
So anyways, I mean, that's a good habit to, uh, you kind of build that up.

518
00:35:27,120 --> 00:35:32,080
Uh, but you know, then there's also just regressing to habits you fixed, uh, that happens as well.

519
00:35:32,080 --> 00:35:35,600
But it seems like a lot of what, how you prevent that.

520
00:35:35,600 --> 00:35:39,920
And you were saying this at the end is, and it's always kind of frustrating to have this

521
00:35:39,920 --> 00:35:40,480
as the answer.

522
00:35:40,480 --> 00:35:44,160
Cause it's, you're assigning yourself more homework, but it's like, you need to really

523
00:35:44,160 --> 00:35:48,240
like write down what the principles are that you're following.

524
00:35:48,240 --> 00:35:53,280
And like, you're, you know, like kind of to, to kind of like come up with a principle with

525
00:35:53,280 --> 00:35:59,040
our example, like you shouldn't just take on face value, like some assumption that you have,

526
00:35:59,040 --> 00:36:01,120
unless it's kind of like proven out.

527
00:36:01,120 --> 00:36:06,480
Like if there's no footnote, then you should find out what the footnote should have been.

528
00:36:06,480 --> 00:36:09,040
And if there isn't one, then figure that out.

529
00:36:09,040 --> 00:36:14,160
And so like, I don't know exactly how you express that in some like, you know, really nice principle,

530
00:36:14,160 --> 00:36:18,640
but it probably, it probably is like worth the time of an organization to think like,

531
00:36:18,640 --> 00:36:23,840
here are the, and I'm just making this up, like five or 10 operating principles that every

532
00:36:23,840 --> 00:36:26,720
now and then we need to check in and make sure we're doing.

533
00:36:26,720 --> 00:36:32,080
Um, and, and the first principle is like checking on the principles, right?

534
00:36:32,080 --> 00:36:36,240
Like, like, like if you're not doing that, then something is probably going wrong, uh,

535
00:36:36,240 --> 00:36:39,920
which should be indicative of, of sliding back on, on, uh, bad habits.

536
00:36:41,360 --> 00:36:41,920
Totally.

537
00:36:41,920 --> 00:36:50,560
And, uh, I, I like how you talk about also, you know, regressing to bad habits and like how

538
00:36:50,560 --> 00:36:56,640
that's something you don't want to, uh, like not look out for.

539
00:36:56,640 --> 00:37:03,520
Um, and that's where I think that, uh, you know, when you're going into a client engagement

540
00:37:03,520 --> 00:37:10,560
and you're wanting to be really sensitive to people's, uh, emotional states and supporting

541
00:37:10,560 --> 00:37:17,680
them and their growth, you know, I don't go out of my way to, um, point that out and, and,

542
00:37:17,680 --> 00:37:22,400
in a way where they feel shamed or, um, not supported.

543
00:37:22,960 --> 00:37:30,240
Um, but I think that, uh, instead like helping them, um, have a conversation with themselves

544
00:37:30,240 --> 00:37:37,360
and acknowledging that they do have those bad habits and figuring out a way to then also,

545
00:37:37,360 --> 00:37:44,960
uh, like I was, I was sharing with the design coffee example, replacing those bad habits with

546
00:37:44,960 --> 00:37:53,600
a safe way in their mind, a psychologically safe way to question, um, something that was said,

547
00:37:53,600 --> 00:37:54,240
right.

548
00:37:54,240 --> 00:38:00,320
And, and knowing that that doesn't, doesn't mean that they're not, they can't be collaborators

549
00:38:00,320 --> 00:38:01,600
with a VP.

550
00:38:01,600 --> 00:38:07,440
They can't be, um, you know, uh, have good relations with that leadership.

551
00:38:07,440 --> 00:38:12,960
Uh, but they also don't have to mindlessly follow, um, what those people are saying,

552
00:38:12,960 --> 00:38:13,840
right.

553
00:38:13,840 --> 00:38:20,400
And changing that dynamic so that, um, you know, cause it was, it was fascinating.

554
00:38:20,400 --> 00:38:24,320
They were like, I was like, oh, are you all afraid of getting fired?

555
00:38:24,320 --> 00:38:25,120
And they're like, no.

556
00:38:25,680 --> 00:38:33,280
And I, so I was like, okay, so if, if you have that safety or that feeling of safety, um,

557
00:38:33,920 --> 00:38:38,960
then let's, you know, let's have those, those conversations.

558
00:38:39,840 --> 00:38:48,880
Um, and, and it happened and then I was actually, I had to leave for, um, uh, a week for health

559
00:38:48,880 --> 00:38:51,520
related issues, which are all fine.

560
00:38:51,520 --> 00:38:59,760
Um, but they actually had that entire conversation with the VP while I was gone and they actually

561
00:38:59,760 --> 00:39:04,560
sustained, uh, that kind of casual design coffee ritual.

562
00:39:04,560 --> 00:39:07,840
We started together while I was out.

563
00:39:07,840 --> 00:39:13,760
Um, and they had the conversation with the VP, they were nervous, but they, they walked that

564
00:39:13,760 --> 00:39:19,440
VP through that research and, and this person was like, oh, great.

565
00:39:19,440 --> 00:39:19,920
Thank you.

566
00:39:19,920 --> 00:39:21,440
You all are the experts.

567
00:39:21,440 --> 00:39:25,520
Uh, you all have this on the ground information.

568
00:39:25,520 --> 00:39:26,480
Thank you.

569
00:39:26,480 --> 00:39:31,360
You all are free from having to do this, this work.

570
00:39:31,360 --> 00:39:38,300
And, you know, went about, you know, the 80,000 other things this person had to deal with.

571
00:39:38,300 --> 00:39:46,860
And so that was, uh, a really, I mean, proud moment for me, honestly, because I was, I was

572
00:39:46,860 --> 00:39:55,080
really happy that the team felt like they had the confidence, um, and the space to, to do that.

573
00:39:55,080 --> 00:39:56,400
Yeah, that's great.

574
00:39:56,400 --> 00:39:59,760
One to pull back to Alex is something you'd mentioned earlier.

575
00:39:59,760 --> 00:40:05,360
And I was introduced to DNF, uh, I mean, I knew of it and I knew Pivotal does discovery

576
00:40:05,360 --> 00:40:09,280
and framing, but I heard David, our office director explain it in the meeting and he did such a

577
00:40:09,280 --> 00:40:09,800
great job.

578
00:40:09,960 --> 00:40:13,640
What's the role of design in that effect, if I steer you in that direction?

579
00:40:13,640 --> 00:40:17,480
So what is discovery and framing and how does design help make that effective?

580
00:40:18,120 --> 00:40:18,520
Totally.

581
00:40:18,640 --> 00:40:18,980
Totally.

582
00:40:19,200 --> 00:40:24,820
So, uh, not a ritual that we do every week, but certainly, uh, a large,

583
00:40:24,820 --> 00:40:32,920
uh, kind of thinking framework and also a process that we do, uh, up front in a lot of engagements

584
00:40:32,920 --> 00:40:36,100
is, is exactly what Richard said, a DNF.

585
00:40:36,100 --> 00:40:42,540
And what a DNF, uh, stands for is a discovery, uh, and framing, uh, process.

586
00:40:42,540 --> 00:40:51,260
And, uh, this process is really, uh, about getting our clients thinking in, uh, you know, going

587
00:40:51,260 --> 00:40:58,920
back to our conversation about principles in an evidence-based mindset, um, at its simplest

588
00:40:58,920 --> 00:40:59,800
level, right?

589
00:40:59,800 --> 00:41:07,900
Like not taking our assumptions at face value, especially from, uh, folks who have a lot of

590
00:41:07,900 --> 00:41:08,780
power in the room.

591
00:41:08,780 --> 00:41:16,020
Uh, and so what we do is we run through all the way from a kickoff process with our clients,

592
00:41:16,020 --> 00:41:24,220
we run our clients through, um, all of the kind of initial steps of a user-centered design

593
00:41:24,220 --> 00:41:33,000
process and we do a lot of exploratory research to, uh, understand the problem space around

594
00:41:33,000 --> 00:41:34,000
the initial brief.

595
00:41:34,000 --> 00:41:42,440
So a client might come to us and say, uh, to Michael's point, uh, hey, we need, uh, recipes

596
00:41:42,440 --> 00:41:47,200
on iPads in the kitchen and we'll say, okay, great.

597
00:41:47,200 --> 00:41:49,880
Uh, thanks for bringing this problem to us.

598
00:41:50,260 --> 00:41:57,880
Uh, let's understand all the people and the technology and, uh, the environments that surround

599
00:41:57,880 --> 00:42:04,900
this problem and we'll generate a lot of understanding in that space and then we'll synthesize that

600
00:42:04,900 --> 00:42:05,400
information.

601
00:42:05,400 --> 00:42:13,100
We'll hone down, um, and then come back to the client with a kind of, uh, boiled down understanding

602
00:42:13,100 --> 00:42:20,400
of, of a key framework and a key problem statement, uh, that backed by data helps us communicate

603
00:42:20,400 --> 00:42:20,980
back to them.

604
00:42:20,980 --> 00:42:23,980
I'm like, hey, you said you have this problem.

605
00:42:23,980 --> 00:42:33,220
Uh, we kind of got down to root causes and, uh, uh, also did technical discovery and, uh,

606
00:42:33,220 --> 00:42:40,140
uh, interviews with folks in, in, uh, that space who may use your product.

607
00:42:40,140 --> 00:42:43,200
And we actually understood that this was your real problem.

608
00:42:43,200 --> 00:42:50,940
Uh, and from there we'll expand again, diverging into many different types of solutions, uh,

609
00:42:50,940 --> 00:42:57,260
do again, uh, more technical discovery, but also a lot of rapid prototyping, even on paper,

610
00:42:57,260 --> 00:43:04,420
uh, and bring those to clients, validate or invalidate, uh, those different solutions and

611
00:43:04,420 --> 00:43:13,100
then produce that, um, kind of, uh, final idea and solution to the client again, um, at the

612
00:43:13,100 --> 00:43:15,620
end of the framing part of the DNF.

613
00:43:15,620 --> 00:43:23,040
Um, and that really helps us inform the client, like, hey, you had this mountain of ambiguity,

614
00:43:23,040 --> 00:43:30,260
uh, with all these assumptions about your user and the problem space and the solution space.

615
00:43:30,260 --> 00:43:36,260
And here's how we, the well-balanced team of developers, designers, and product managers,

616
00:43:36,260 --> 00:43:43,580
and sometimes data scientists, sometimes other folks, uh, brought together all of these users

617
00:43:43,580 --> 00:43:48,120
and key parties to really understand where we should start development.

618
00:43:48,580 --> 00:43:56,300
Or, um, if the solution is not a development solution, here's our recommendation about how

619
00:43:56,300 --> 00:43:57,480
to approach this problem.

620
00:43:57,580 --> 00:44:03,560
Um, and that leads us to inception and starting to, you know, add stories to the backlog, um,

621
00:44:03,560 --> 00:44:04,400
and start development.

622
00:44:04,400 --> 00:44:11,780
And so, oh, I really think that it's a great, um, also from an enablement perspective, it's

623
00:44:11,780 --> 00:44:17,840
a great way to introduce clients to, uh, the user-centered design process and also to technical

624
00:44:17,840 --> 00:44:18,540
discovery.

625
00:44:19,300 --> 00:44:25,120
Uh, but I think that it's, it's something that we try, like the spirit of the DNF is what

626
00:44:25,120 --> 00:44:28,220
I like to call it, that evidence, uh, based mindset.

627
00:44:28,220 --> 00:44:33,860
It's something as a designer, um, I really try to carry through all the way through an engagement

628
00:44:33,860 --> 00:44:35,700
so that people don't lose that spirit.

629
00:44:36,080 --> 00:44:39,380
I mean, just so if somebody doesn't hear all that, go, that sounds like a lot of work.

630
00:44:39,380 --> 00:44:40,640
Like, what is that a two-year process?

631
00:44:41,080 --> 00:44:45,560
Like, how long does DNF usually take before we get into inception and start putting hands

632
00:44:45,560 --> 00:44:46,780
on keyboards, building things?

633
00:44:47,260 --> 00:44:47,540
Totally.

634
00:44:48,080 --> 00:44:51,380
So, uh, I've done DNFs that are like four weeks.

635
00:44:51,980 --> 00:44:55,220
Um, but sometimes it can be shorter or longer.

636
00:44:55,540 --> 00:45:03,600
Um, it really depends on the problem space and also honestly, uh, how, like the velocity,

637
00:45:03,600 --> 00:45:09,380
of, um, how, how, how we are as a team.

638
00:45:09,380 --> 00:45:16,920
So, you know, if I have an experienced, uh, designer pair, uh, and, and the client has

639
00:45:16,920 --> 00:45:23,440
like helped us, uh, set up, um, those research participants really well from the beginning,

640
00:45:23,440 --> 00:45:30,620
like we can, you know, really blast through a lot of work fast to help the client, um, really

641
00:45:30,620 --> 00:45:33,860
get to, to building things as you said, Michael.

642
00:45:33,860 --> 00:45:41,220
Um, but I also think like, and this is what I really love to work with, uh, the developers

643
00:45:41,220 --> 00:45:50,240
on both the pivotal and client side with is, um, I'm very agnostic in terms of how we prototype

644
00:45:50,240 --> 00:45:52,840
and how we invalidate or validate assumptions.

645
00:45:52,840 --> 00:46:00,360
So if engineering paired with design and product, uh, think about like, oh, like what if we,

646
00:46:00,360 --> 00:46:05,540
you know, push some small production app to like validate or invalidate this assumption

647
00:46:05,540 --> 00:46:12,760
and it's, it's cheap and fast to, uh, do that, to de-risk that assumption.

648
00:46:12,760 --> 00:46:28,040
Um, you know, if it's a really, uh, API driven or backend type of thing that we're developing,

649
00:46:28,040 --> 00:46:33,380
like sometimes the best thing to prototype will be, um, something that's, that's, that we

650
00:46:33,380 --> 00:46:34,960
can push a production really fast.

651
00:46:34,960 --> 00:46:41,140
Um, if it's something, you know, very ambiguous, like they have no idea, um, where they're going

652
00:46:41,140 --> 00:46:47,260
with it, then, uh, sometimes we do want to hang out in a more kind of design or research

653
00:46:47,260 --> 00:46:48,020
space longer.

654
00:46:49,300 --> 00:46:49,960
Makes sense.

655
00:46:50,280 --> 00:46:50,520
Yeah.

656
00:46:50,600 --> 00:46:56,520
You got to add the, uh, add some of that deliberate expertise to the, to the, to the guide there

657
00:46:56,520 --> 00:47:00,920
to, to, uh, that always does seem helpful to have some outsider who sort of knows how the

658
00:47:00,920 --> 00:47:02,860
story goes to give you some notes on it.

659
00:47:03,020 --> 00:47:09,280
But, but speaking of, uh, you know, I, well, I mean a couple of things, one, so, uh, before

660
00:47:09,280 --> 00:47:14,900
we wrap up, like, is there like, where would you recommend people like go read up about all

661
00:47:14,900 --> 00:47:15,600
this stuff?

662
00:47:15,840 --> 00:47:22,800
Like, do we, we don't really have like, uh, the labs way of life book, but there is, there

663
00:47:22,800 --> 00:47:27,580
is, there is like, like over on built to adapt and other places here, like, you know, there's,

664
00:47:27,640 --> 00:47:32,640
there's a, there's a fair amount of writing up of a lot of this thinking, but outside of

665
00:47:32,640 --> 00:47:37,640
the confines of pivotal or that as well, like, is there like, like what's, what's a good,

666
00:47:37,760 --> 00:47:42,980
like, I don't know, one to three item reading list or something that people would go look

667
00:47:42,980 --> 00:47:46,720
at for, for all this kind of, let's call it product thinking.

668
00:47:47,140 --> 00:47:48,740
Like what, what do you refer people to?

669
00:47:49,180 --> 00:47:49,660
Absolutely.

670
00:47:50,180 --> 00:48:00,360
So, uh, we have, as you just mentioned, great, um, blogs about our DNF process, uh, and our

671
00:48:00,360 --> 00:48:08,300
other processes on built to adapt, uh, watch this space, uh, labs is going to have a lot

672
00:48:08,300 --> 00:48:15,220
of content coming up on, on the, uh, normal pivotal.io, uh, website very soon.

673
00:48:15,560 --> 00:48:19,940
Um, and I'll actually be writing a little bit about design rituals on there.

674
00:48:20,000 --> 00:48:21,180
Oh, that's exciting.

675
00:48:21,600 --> 00:48:22,120
Yeah.

676
00:48:22,420 --> 00:48:22,740
Yeah.

677
00:48:22,740 --> 00:48:25,600
So some exciting content is coming.

678
00:48:25,840 --> 00:48:32,660
Uh, uh, our wonderful, uh, design team in Seattle is, is hard at work working with designers

679
00:48:32,660 --> 00:48:39,620
all over the world at pivotal, um, to build out, uh, a lot more content around, uh, describing

680
00:48:39,620 --> 00:48:45,880
our process, uh, describing, uh, ways that we engage with our clients, large and small.

681
00:48:45,880 --> 00:48:54,740
Uh, so definitely, uh, watch the space, uh, but also, uh, in terms of, uh, some of the things

682
00:48:54,740 --> 00:49:03,600
that we discussed here, uh, uh, we have, uh, great content, um, just in terms of like the

683
00:49:03,600 --> 00:49:09,560
DNF, actually, it kind of grew out of, um, work done by the London design council.

684
00:49:09,760 --> 00:49:16,880
So if you, if you go to their page, uh, and just Google them, uh, they have a lot of, uh,

685
00:49:16,880 --> 00:49:24,100
some of the thinking that was, uh, the foundation for, uh, what eventually became our DNF process.

686
00:49:24,660 --> 00:49:33,300
Um, and then, uh, my work around and my focus around design rituals, um, is inspired, uh,

687
00:49:33,300 --> 00:49:37,780
a little bit by just, you know, my work on the ground as a pivot.

688
00:49:38,340 --> 00:49:43,620
Uh, but also there's some really cool things coming out from, uh, the design ritual lab

689
00:49:43,620 --> 00:49:44,960
at the D school in Stanford.

690
00:49:44,960 --> 00:49:51,220
So, um, those are just some great things to just pertinent to what we talked about in this

691
00:49:51,220 --> 00:49:54,580
conversation, um, that I think that's a great thing.

692
00:49:54,580 --> 00:49:55,520
I think would be great.

693
00:49:55,580 --> 00:50:02,740
Uh, otherwise, uh, lean startup and the startup way are just in terms of, uh, overall product

694
00:50:02,740 --> 00:50:04,540
thinking are good resources as well.

695
00:50:05,020 --> 00:50:06,140
Yeah, no, that's true.

696
00:50:06,260 --> 00:50:11,940
It often comes back to the, uh, the, well, in the context of the enterprise space, the tragically

697
00:50:11,940 --> 00:50:18,360
named, uh, startup part of lean startup, but it always comes back to that, uh, that like

698
00:50:18,360 --> 00:50:22,200
loop of validation, which, which I think, uh, people are often missing.

699
00:50:22,300 --> 00:50:23,420
Well, well, that sounds great.

700
00:50:23,460 --> 00:50:26,420
Well, thanks for going over all of that, uh, that stuff with us.

701
00:50:26,520 --> 00:50:30,640
But, you know, that's, that is the second thing I was going to say is, uh, you know, uh, we

702
00:50:30,640 --> 00:50:34,520
might be saturated here around Pivotal, but y'all labs people, you should have a podcast

703
00:50:34,520 --> 00:50:35,520
just every week.

704
00:50:35,520 --> 00:50:35,780
Ooh.

705
00:50:36,460 --> 00:50:39,980
You don't, you don't have to do the whole thing where you, where you lay down some, uh,

706
00:50:40,180 --> 00:50:43,380
some spooky, you know, ducking of music tracks and things like that.

707
00:50:43,380 --> 00:50:48,420
That's a lot of work, but just, uh, just have some podcasts going over things like right

708
00:50:48,420 --> 00:50:53,600
before this, I was, um, I was reading up on a bunch of internal case studies of, uh, lab

709
00:50:53,600 --> 00:50:54,300
stuff in Europe.

710
00:50:54,300 --> 00:50:59,880
And there's just like no end of like, they're just one slider things, but you can kind of

711
00:50:59,880 --> 00:51:04,200
read in between the lines of like the fun, enjoyable processes that, that went behind

712
00:51:04,200 --> 00:51:09,800
them to actually, uh, you know, it's like mortgage stuff and connected car, which ostensibly

713
00:51:09,800 --> 00:51:13,340
is really boring, but I'm sure, you know, when you're doing the actual work, it's

714
00:51:13,340 --> 00:51:13,700
interesting.

715
00:51:13,700 --> 00:51:18,200
And then it, uh, actually has like, you know, people can get mortgages better, which

716
00:51:18,200 --> 00:51:18,620
is nice.

717
00:51:19,240 --> 00:51:22,680
But anyways, there, there's a, there's a lot of good stories just as you're illustrating

718
00:51:22,680 --> 00:51:23,400
running around there.

719
00:51:23,680 --> 00:51:25,000
I'm going to have to pick your, I'm going to have to pick your brain.

720
00:51:25,280 --> 00:51:30,860
Uh, yeah, well, uh, well, uh, and also do you have, uh, you have a Twitter account

721
00:51:30,860 --> 00:51:32,560
or anything you want to point people towards?

722
00:51:32,880 --> 00:51:33,140
Totally.

723
00:51:33,380 --> 00:51:33,640
Yeah.

724
00:51:34,000 --> 00:51:40,220
Uh, folks can follow me at, uh, Alex S Tran, um, on Twitter.

725
00:51:40,600 --> 00:51:41,600
Uh, yeah.

726
00:51:41,720 --> 00:51:48,300
I tweet, uh, a lot about design things and then just full disclosure, a lot about, uh,

727
00:51:48,300 --> 00:51:52,880
the design of our, uh, government and political systems.

728
00:51:52,880 --> 00:51:55,520
So the design, that's a good way of putting it.

729
00:51:55,520 --> 00:51:55,700
Yeah.

730
00:51:55,700 --> 00:52:01,340
I just like to put that full disclaimer out there, uh, so that, you know, people know what

731
00:52:01,340 --> 00:52:03,640
type of content they're getting into.

732
00:52:04,040 --> 00:52:04,520
Exactly.

733
00:52:04,920 --> 00:52:05,400
That's right.

734
00:52:06,240 --> 00:52:13,960
Uh, but yes, welcome, welcome folks to connect with me there or any other places, um, online.

735
00:52:14,480 --> 00:52:14,660
All right.

736
00:52:14,680 --> 00:52:15,000
Well, great.

737
00:52:15,060 --> 00:52:15,640
Well, thanks again.

738
00:52:15,640 --> 00:52:19,400
And, and as always, uh, just in case you don't know what's been happening to you, you've

739
00:52:19,400 --> 00:52:24,160
been listening to pivotal conversation, you can get this episode and, uh, like the, the

740
00:52:24,160 --> 00:52:29,120
one with Jonathan that we referenced referenced and other ones over at soundcloud.com slash

741
00:52:29,120 --> 00:52:30,220
Pivotal Conversations.

742
00:52:30,680 --> 00:52:34,600
And about every Thursday or so, uh, we post the show notes for this.

743
00:52:34,660 --> 00:52:38,980
We'll have some of the links mentioned, uh, at pivotal.io slash podcast.

744
00:52:39,460 --> 00:52:42,460
And with that, I think, uh, I think I'm going to go jump in the canal.

745
00:52:42,460 --> 00:52:42,740
Yeah.
