Episode 55: [Value Boost] Why Data Scientists are Focus-Poor (and the Software Developer’s Solution to Fix It)

Episode 55: [Value Boost] Why Data Scientists are Focus-Poor (and the Software Developer’s Solution to Fix It)

Show Notes

Have you ever noticed that software developers are frequently more productive than data scientists? The reason has nothing to do with coding ability.

Software developers have known for decades that the real key to productivity lies somewhere else.

In this quick Value Boost episode, software developer turned CEO Ben Johnson joins Dr Genevieve Hayes to discuss the focus management techniques that transformed his 20-year development career – which you can use to transform your data science productivity right now.

Get ready to discover:

  1. The Kanban and focus currency techniques that replace notification-driven chaos [02:09]
  2. A 90-day planning system that beats imposter syndrome and drives results [03:09]
  3. Why two-hour focus blocks outperform constant context switching [04:19]
  4. The habit tracking method that helps you consistently “win the day” [06:12]

Guest Bio

Ben Johnson is the CEO and Founder of Particle 41, a development firm that helps businesses accelerate their application development, data science and DevOps projects.

Links

[00:00:00] Dr Genevieve Hayes: Hello and welcome to your value boost from value driven data science. The podcast that helps data scientists transform their technical expertise into tangible business value, career autonomy, and financial reward. I’m Dr. Genevieve Hayes, and I’m here with Ben Johnson, CEO and founder of Particle 41 to turbocharge your data science career in less time than it takes to run a simple query.

[00:00:29] In today’s episode, we’re going to be discussing techniques from software development that data scientists can use to increase their productivity and efficiency. Welcome back, Ben.

[00:00:42] Ben Johnson: Hey, nice to be here.

[00:00:44] Dr Genevieve Hayes: As long time listeners of this show are probably already aware, before becoming a data scientist, my background was as an actuary and statistician.

[00:00:53] And then when I decided to make the move to data science, I did a master’s in computer science to upskill on machine learning and AI. And one of the things I loved most about my master’s was that my classmates were predominantly software developers and engineers. And I found that Just by being in the same classes as them and associating with them on the class online forums, I learned just as much, if not more, about what it takes to be an effective data scientist as I did from the lectures themselves.

[00:01:32] And this is because the software engineers had a very different perspective on data problem solving from what I’d developed as a statistician and actuary. Ben, in addition to being a serial entrepreneur, you yourself are a software developer with over 20 years of experience. In that time, you must have come across a whole range of techniques for boosting your productivity and efficiency as a developer.

[00:02:02] Are there any techniques among those that, you’re surprised, data scientists don’t also use?

[00:02:09] Ben Johnson: It kind of swirls together. So focus is a currency as kind of the tagline here. So the book, the one thing has been really inspirational for me. And I’m a bullet journaler. And so I kind of take my 90 day goals and break them down into months and then the weeks, you know,

[00:02:26] what’s the one thing or the finer sets of things? I find a lot of digital professionals, including data scientists are kind of multitasking and we’ve kind of even created This kind of interruption culture in the way that we work. So I find it interesting when data scientists don’t have like the Kanban board or the flow of work and they’re just kind of operating by slack messages and emails.

[00:02:50] And I think then you have Low currency of focus like you’re poor in focus. And so the overarching thing here is to be rich in focus. And that means creating systems and work environment and a personal organization strategy. That makes you richer in focus.

[00:03:07] Dr Genevieve Hayes: And how would you go about doing that?

[00:03:09] Ben Johnson: So I think it starts with like some level of personal ceremony.

[00:03:14] And some adherence to routine. So it may seem confining, but I actually find it gives me a lot of freedom. So spend a lot of time around the quarter. Thinking like, what do I want to accomplish in the next 90 days and documenting that and then breaking that out in a month and not just doing it professionally, but doing it personally as well.

[00:03:34] So that then when I go to my week, I’ve kind of planned my week. I know what my focuses are for at least some of the time. I don’t like knock it all down in stone. I leave some flex time in there for. Emails and slack messages, but I definitely know what needs to be true by the end of the week for me to feel accomplished and confident.

[00:03:57] And in the end, the biggest enemy is the imposter syndrome, right? So I have to have to put challenges in front of me that I’m accomplishing. Because the last thing I want anybody on my team to feel is that imposter syndrome. And the only way we were get through that is by. Proving to ourselves that we can accomplish the goals that we put in front of ourselves.

[00:04:19] Dr Genevieve Hayes: What you’ve described there is very similar to the approach that I take in my work. I read Cal Newport’s deep work about, three years ago. Yeah, and one of the things I find, you know, as a data scientist, often I do have multiple projects on the go. But I try and work in deep work blocks, so I schedule three two hour blocks per day, and I actually have a kitchen timer, and for that two hour block, I will only work on one particular task, and even if I’m working on multiple topics within a day.

[00:04:55] I try and only have one task per day, but just having those two hour focus blocks really helps me to accomplish a lot.

[00:05:03] Ben Johnson: Yeah, I think so. And what you’re talking about there is this time compression and I think time compression is very, very powerful. And I would say most people don’t. Incorporate an element of time compression, like your timer is time compression and incorporate environment. We kind of used to be.

[00:05:23] We planned the year and we give very little cadence to the quarter and the month. And then we kind of realized. You know, Q3 we’re falling behind and then that would make for these awful Q4 experiences, right? People working right up into the last day of the year kind of thing. I think we’re seeing that improve and I think time compression, EOS is really big on the quarterly planning, the monthly planning.

[00:05:50] And then you mentioned like the Pomodoro technique. These things are getting really popular, but those things are awarded by an increase. Like when you’re rich in focus, those things happen, right? Or you do those things to become more rich in focus.

[00:06:06] Dr Genevieve Hayes: And my experience is the days when I do manage to have those focus blocks, I’m happier at the end of the day.

[00:06:12] Ben Johnson: Yep. Yeah, because you created a scoreboard and you won the day, right? You know, you won the day. Yeah. In my bullet journal, I have a habit tracker and I put so many habits on there that if I do about half of them, like I’m good, and that works for me, you know, kind of always be solving.

[00:06:28] You know salespeople, they always be closing and I’m kind of like always be doing something to make my life better, even if it’s just like drinking water, right? Remembering to drink water that’s a thing on my tracker.

[00:06:42] Dr Genevieve Hayes: And that’s a wrap for today’s Value Boost. But if you want more insights from Ben, you’re in luck. We’ve got a longer episode with Ben where we discuss strategies for accelerating your data science impact and results. And it’s packed with no nonsense advice for turning your data skills into serious clout, cash, and career freedom.

[00:07:04] You can find it now, wherever you found this episode, or at your favorite podcast platform. Well, thank you for joining me again, Ben.

[00:07:12] Ben Johnson: Oh, my pleasure.

[00:07:14] Dr Genevieve Hayes: And for those in the audience, thanks for listening. I’m Dr. Genevieve Hayes, and this has been Value Driven Data Science.

Value Driven Data Science: Boost your impact. Earn what you’re worth. Rewrite your career algorithm.
Value Driven Data Science: Boost your impact. Earn what you’re worth. Rewrite your career algorithm.
Episode 55: [Value Boost] Why Data Scientists are Focus-Poor (and the Software Developer's Solution to Fix It)
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