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Julie Zhou

VP of Digital Marketing & Growth, AdRoll

Julie Zhou is a seasoned analytics professional currently working as the B2B Marketing Analytics Lead at DoorDash since January 2022.4 She is based in Austin, Texas, United States. Prior to her role at DoorDash, Julie held positions as:

  1. Director of Analytics at The Athletic (February 2020 - December 2021)
  2. Senior Analytics Manager at Lumos Labs (Lumosity) (February 2015 - February 2020)

During her time at Lumosity, Julie worked remotely from Austin, TX, and was responsible for various analytics tasks, including:

  • Collaborating with product managers to run A/B tests across multiple platforms and user segments
  • Performing in-depth analyses of user lifecycle metrics
  • Creating data governance frameworks and learning curriculums
  • Monitoring overall business health through key metrics and financial models4

Julie has a strong foundation in consulting and analytics, with experience in both B2B and B2C environments. Her LinkedIn username is julie-zhou-6246517.4

It's worth noting that this Julie Zhou should not be confused with Julie Zhuo, a former VP of Design at Facebook and co-founder of Sundial, who is a different person with a similar name.123

Highlights

May 12 · twitter

Taste is invisible until you try to write it down.

This is probably my biggest lesson with AI building as of late.

At @TeamSundial, I get to work with really friggin' amazing analysts who know the art, and I see how much of our collective time now is now spent turning that art into playbooks or skills for an LLM.

Encoding things like: "How would a great analyst actually look at this metric move?" or "What is ACTUALLY the interesting signal in this story versus noise?" or "How can we know if a product change actually moved the needle?"

It's really humbling work!

You write an instruction set. The LLM misses. You add more context. It still misses. You add even more. Now it's confused. You strip it back. Now it's too vague. You try a different framing. Better, but inconsistent. Works on Monday, fails on Tuesday. You go again.

I've come to realize the gap between 70% quality and 95% quality is not 3 or 4 big things. It's more like 100s of small things. Which is exactly why you can't write an article about it, or copy it, or shortcut it!

This gap is taste, quantified. The accumulated weight of a thousand small judgments you don't notice you're making, until you sit down to externalize them and realize you can't.

Being good at something is not the same as being able to articulate why you're good at it.

I now see two bottlenecks to making something better than today's generic AI:

  1. Can you see what better looks like in the first place?
  2. Even if you can see, can you articulate what that is in a way that the LLM can understand and systemize?

#2 is now a new craft, the art of distilling the art.

The people who can do it well are the ones building standout products.

Taste is invisible until you try to write it down.

This is probably my biggest lesson with AI build
May 10 · twitter

Some people like restoring old cars.

I like restoring old AIM convos from 2002 whose logs I have saved meticulously across a dozen different computer moves ^_^ https://t.co/XgNmmUxLYR

Some people like restoring old cars.

I like restoring old AIM convos from 2002 whose logs I have sa
[PDF] Expanding Markets or Capturing Share? The Effects of Subscription ...
How Julie Zhuo Uses Data in Design: Early Facebook Days, starting ...
Aug 23 · brattle.com
Julia Zhu - The Brattle Group
Jul 25 · Inc.
How to Convince Anyone of Anything, Explained in Only 50 Words - Inc.
Mar 20 · Lawyerly
Judge stays Victorian suit over alleged conspiracy to undermine ... - Lawyerly
Judge stays Victorian suit over alleged conspiracy to undermine ... - Lawyerly

Related Questions

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Julie Zhou
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Location

San Francisco, California, United States