Finding Short-Term Metrics for Long-Term Output | 40sec snip from Lenny's Podcast: Product | Growth

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Building a world-class data org | Jessica Lachs (VP of Analytics and Data Science at DoorDash)

Lenny's Podcast: Product | Growth | Career

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Finding Short-Term Metrics for Long-Term Output

Identifying short-term metrics that influence long-term outcomes is crucial for effective experimentation and iteration. Rather than focusing directly on long-term goals like retention, it is essential to identify the key inputs that impact these goals. By experimenting with and testing these short-term inputs, organizations can better understand their influence on driving desired long-term outcomes.

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Jessica Lachs is the global head of analytics and data science at DoorDash, where she’s built one of the largest and most respected data organizations in tech. In her more than 10 years at DoorDash, she has served as the first general manager, responsible for launching new markets; the head of business ops and analytics; and the VP of analytics and data science. Previously, Jessica founded GiftSimple, a social gifting startup, and started her career at Lehman Brothers as an investment banking analyst. In our conversation, she shares:

• How to structure and scale a high-impact analytics organization

• Centralized vs. decentralized data teams

• How to pick the right metric and aligning incentives

• Advice for data people on how and when to push back

• Lessons learned from building a global data team

• How to foster a culture of extreme ownership

• The role of AI in improving analytics team productivity

• Advice for aspiring data leaders without formal training

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