Nan Yu: evaluation

Transcript context

…And the idea there is keep informing this mental model, keep informing what this could be until you get to a place of like, "Okay. Cool. I think we figured out what will really solve this problem in an elegant way"? Yeah, and I want to really stress a nuance here, which is it's not that we want to solve the entire problem. The entire problem is quite big, but there's something that's really right for Linear to do that would help people have a good starting point for them to reason about it. So, I think a lot of building conviction around stuff is not even like do we have a workable solution? It's like how much of the problem should we actually take on? Because if we take on too much of the problem, then we'll end up overpromising and not being able to deliver on it. I think what's also useful here is you all keep your team very small intentionally and being constrained keeps you from taking on these things too early because you don't have the engineers to build their designers.…

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