Sarah Sachs: evaluation

Transcript context

…Totally. Um, regardless of the tools that we use, Alsesio: I’m kind of curious how you think about implicit versus explicit expertise. I feel like Datadog is half and half implicit and explicit. It’s like they understand across markets and industries what engineering teams usually look for. With notion, it’s almost like more of the expertise is at the edge because you as a platform, you’re like so horizontal that the end user is not really the same. Mm-hmm. Like with Datadog, the end user is always like, yeah, an engineering lead, a kinda like SRE related person with notion. It can be anything. So I’m curious how you put that expertise into a product versus, you know, obviously it, WS cannot build notion. It’s, that doesn’t quite work in this case, but it’s, it’s a little bit differently shaped. I think, you know, a classic vertical SaaS, like the data is kind of like that. They understand their individual customer very deeply. It’s kinda a narrow slice, um, notion has always been super horizontal. And our, our task has always been to sort of balance these two somewhat opposing forces of like, we’re listening to our customers and what they want us to build. It’s a broad slice. And then also we’re thinking about like, okay, how do we decompose what they want into, uh, nice primitives that are, that are really nice to use and we’ll, we’ll get us like as much bang for the buck as possible. And then, you know. Maintain the whole system, make it all like, like super clean and nice to use.…

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