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/

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