Jessica Lachs: evaluation

Transcript context

…Just a couple of more questions. There's one that I skipped that I'm just going to come back to. It's completely out of nowhere, but I think it might be interesting is about a global data org. So you run a global data org, you have data scientists and analysts and biz ops people all over the world, not just the US. I'm curious just how is it different managing data people in different countries versus just the US? What's a big difference? Everyone always asks about the differences. What I am surprised by is how similar things are, how similar people are, the data scientists themselves, but also consumers and dashers and couriers, as we call them at Volt. There's a lot more similarities than differences. I do think that when you built a business in the US and then you introduce new countries, having different currencies and different languages adds complexity that you weren't necessarily familiar with. I think similarly in EU countries versus non-EU countries in Europe, there's different regulation. So that adds a fun layer of complexity. So I do think that it adds complexity to the problem set, but ultimately so many of the problems are the same. It feels a little bit like going into a test having seen the answer key. And so for me, there are problems we've encountered at Volt through Volt analytics where I'm like, "Oh, we've had a similar problem. I have an instinct for what the answer might be. Let's still test because there could be differences cultural or otherwise, but I feel like I know where we're going to end." And then sometimes there are problems where it's new for one reason or another, and it's exciting because you're like, "All right, let's see if things are different here. " Let's see what ideas might work in a Volt country that don't work in a DoorDash country and vice versa. So I think I tend to focus more on what's the same, and then I'm pleasantly surprised when I find things that are different because that keeps you on your toes and keeps things interesting. I'm going to take us to AI Corner. This is a segment we have in the podcast where I try to understand how people are using AI in their day-to-day and in their business. I'm curious if you've found some really interesting way of using AI ideally in... you can go in either one of these directions, and how you or your team work day-to-day using AI tools to make you more efficient, or integrating AI into your product, making DoorDash better.…

Stored transcript either side of the excerpt. The highlighted words are the published quote; the surrounding text is unedited source, never generated.