Jessica Lachs: prediction

Transcript context

…I want to hear about them, but I think something that some people may think when you say essential org is like a silo data team that sits there and they're like a service org a little bit within the company. It's like, "Hey, I need some data help." And you try to convince that, "Hey, I need some help on this thing." And that's not what you're saying. Oh, no. No, no, no. That job seems terrible. I don't want that job. No, to the earlier point, we have a seat at the table. We are business partners, we are thought partners with our product counterparts, with our engineering counterparts, with our ops counterparts, and we again, share the same goals and have the same initiatives that they do. And it's just our job to come at it from a data-driven place. We bring to the table insights on things that we've noticed, deep dives that we do to understand the problems that we're trying to solve better. If we need to grow, what are the most efficient ways to grow? What are the trade-offs that we have to make? Where are their pockets of opportunity? That is what I expect my team to be able to bring to that table, the proverbial table, that we want to see that. And in order to earn their spot, that's the deal. We get the seat at the table and we need to earn it by bringing opportunities that we all can go and go after. Awesome. So in a sense, it is embedded. They're embedded in cross-functional teams across the org, but they report up to essential org to you essentially in the end?…

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