Episode Details

This week, Steph and Joël discuss investment time and keeping track of things they want to learn.

How do you, dear listener, keep track of things you want to learn? When investment time rolls around, what do you reach for, or how do you prioritize that list? Are there things you actively decide not to focus on when choosing where to develop deep expertise? Are there things you wish you could spend time on if you could?

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• Bloom's Taxonomy
• thoughtbot's interview
• 3 categories of learning
• Four Thousand Weeks: Time Management for Mortals

Transcript:

STEPHANIE: Hello and welcome to another episode of The Bike Shed, a weekly podcast from your friends at thoughtbot about developing great software. I'm Stephanie Minn.

JOËL: And I'm Joël Quenneville. And together, we're here to share a little bit of what we've learned along the way.

STEPHANIE: So, Joël, what's new in your world?

JOËL: I was recently having a conversation with another colleague at thoughtbot, and they brought up Bloom's Taxonomy, which is a taxonomy of different phases of learning. It's often visualized as a pyramid with a broad base that starts with remembering facts and then expands up to understanding and then up to applying, and then analyzing, evaluating, and then finally creating. So it's a way to kind of quantify progression of someone who is trying to master a topic.

And what really struck me when I saw this diagram was I immediately thought about how the tech industry interviews and a lot of our interviews are focused on the base of that pyramid. It's all about did you memorize certain facts, or APIs, or things like that? But a lot of the value that we create as developers...but to be good at our jobs, we have to actually be active much higher up in that pyramid in the analyze, evaluate, and create layers.

But unfortunately, I feel like interviews often don't go that far; they're really just focused on the base. So that was a really interesting realization. We were not talking about interviewing, but this colleague shared the diagram. I looked at it, and the first thing I thought was like, oh, this is the problem with a lot of tech interviews these days.

STEPHANIE: Yeah, I think a lot about how in interviews, we want to be showing off our best selves in a sense. Like, we want our interviewers to see the version of ourselves that we bring to work, which is usually like you were saying, at that top layer and isn't recalling particular facts about how our framework works or things we might have learned in computer science class in college.

And one thing I actually really like about thoughtbot's interview...even in the job application, I think it says, "We want to see your strengths and see you at your best self." And it asks what can we, as thoughtbot, interview you on in a way that gives you the opportunity to display those skills? And so I really like that.

I think I