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Julie Zhuo

Co-Founder @ Sundial, Author of THE MAKING OF A MANAGER, ex-VP Design @ FB

Julie Zhuo is a seasoned professional who has a rich background in design, research, and leadership, with a focus on helping builders utilize data effectively for their projects. Currently, she is involved in building Sundial with a dedicated team in the US and India, aiming to empower individuals to leverage data meaningfully. Prior to this, she co-founded Inspirit, an advisory firm working with high-growth companies. Zhuo's career at Facebook, where she started as the company's first intern and later became the VP and Head of Design and Research for the Facebook app, played a significant role in shaping her expertise. She gained extensive experience in designing and leading teams, contributing to various social communication products and understanding how to scale them globally. Her passion for learning, introspection, and writing led her to author 'The Making of a Manager', a bestseller, offering insights into effective management practices. She actively shares her thoughts on design, product management, strategy, technology, and management through various platforms like Twitter, LinkedIn, and Medium, as well as her mailing list, The Looking Glass. Additionally, Julie occasionally engages in angel investing in companies that align with her values of efficiency, creativity, health, and fun. She holds a Master's degree in Computer Science with a focus on Human-Computer Interaction (HCI) and a Bachelor's degree in Computer Science, both from Stanford University.

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
Julie Zhuo
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Location

San Francisco Bay Area