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Controlled Experiments - Why Bother?
I spent some time earlier this year orchestrating a massive experiment for Firefox. We launched a bunch of new features with Firefox 80 and we wanted t…
Ryan Harter
Jan 7
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Conversations about the soft side of Data Science
Welcome to Practical Data Science by me, Ryan Harter. Principal Data Scientist @ Mozilla Sign up now so you don’t miss the first issue. In the meantime…
Ryan Harter
Jan 6
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Leading with Data - Cascading Metrics
Leading with Data - Cascading Metrics It's surprisingly hard to lead a company with data. There's a lot written about how to set good goals and how to …
Ryan Harter
Dec 9, 2020
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Defining Data Intuition
Last week, one of my peers asked me to explain what I meant by "Data Intuition", and I realized I really didn't have a good definition. That's a proble…
Ryan Harter
Oct 20, 2020
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Surrogation
A year or so ago, I read this article about how Wells Fargo ended up in such a mess. If you don't remember, Wells Fargo was opening accounts in their c…
Ryan Harter
Oct 7, 2020
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What do you take home?
Every other week, I go through my todo list and decide where I should focus my attention. I review a list of prompts that help me choose important work…
Ryan Harter
Jul 10, 2020
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Post hoc, ergo propter hoc
Economists have a handy phrase to describe a fairly common fallacy: "Post hoc ergo propter hoc" meaning "After, therefore because". Wikipedia has an ex…
Ryan Harter
Jun 17, 2020
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Pub True
I'm ramping up on a project to understand how Firefox retains users. Right now I'm trying to build some context quickly. For example, what's our monthl…
Ryan Harter
Dec 13, 2019
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Analysis Maturation Plan
I was talking about tooling with Mark Reid a few weeks ago. I've been trying to find a way to simplify sharing analyses throughout the company. This is…
Ryan Harter
Dec 12, 2019
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If you can't do it in a day, you can't do it
I was talking with Mark Reid about some of the problems with Coding in a GUI. He nailed part of the problem with soundbite too good not to share: "If y…
Ryan Harter
Jun 27, 2018
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Bad Tools are Insidious
This is my first job making data tools that other people use. In the past, I've always been a data scientist - a consumer of these tools. I'm learning …
Ryan Harter
Jun 15, 2017
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