))
2: Sasha Laundy on Building the Right Thing for Stakeholders
Fetch error
Hmmm there seems to be a problem fetching this series right now.
Last successful fetch was on April 03, 2024 17:06 (
What now? This series will be checked again in the next day. If you believe it should be working, please verify the publisher's feed link below is valid and includes actual episode links. You can contact support to request the feed be immediately fetched.
Manage episode 410474530 series 3556230
内容由Raph Lee提供。所有播客内容（包括剧集、图形和播客描述）均由 Raph Lee 或其播客平台合作伙伴直接上传和提供。如果您认为有人在未经您许可的情况下使用您的受版权保护的作品，您可以按照此处概述的流程进行操作https://zh.player.fm/legal。
In this episode of the Building AI Products podcast, I interview Sasha Laundy, who was the Director of Data Science at Warby Parker.
Sasha is one of those wonderful high-IQ, high-EQ, left-right-brained people who's both super technical and a great people manager.
At Warby Parker (or "Warby" for those in the know), she ran a centralized team that did statistical modeling, BI training and analyst support, and machine learning.
In this episode, we discuss:
👓 Shape Up, a framework for shipping in six-week cycles that turns out to be perfect for data science teams
👓 Powerful questions to build the right thing for stakeholders, especially stakeholders who don't "speak data"
👓 Why everyone asks for a dashboard, but nobody actually needs one
👓 How a centralized team of data scientists can work with data analysts embedded in vertical business teams
Show links:
- Find Sasha's coaching practice here: https://sashalaundy.com/
- Basecamp's book on the Shape Up framework, by Ryan Singer: https://basecamp.com/shapeup
- Sasha's consulting company, Polynumeral, published a book called Thinking with Data (by Max Shron) that talks more about working with stakeholders and scoping projects: https://www.oreilly.com/library/view/thinking-with-data/9781491949757/
If you liked this episode, subscribe and please consider leaving a review — it really helps the podcast get discovered!
3集单集
分享
