David Lieb

speaker

170 appearances 1 recordings 1 series first heard Jul 2026 last heard 9 Jul

David Lieb’s voice in public audio — every appearance, attributed to the second.

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Y Combinator Startup Podcast · How To Better Understand Your Users · 9 Jul 2026 podcast

Instead, looking at the dot plot, we have a much richer understanding of our users.

We know something about their behavior, maybe something about their lives.

We probably have inferred from this that these people that use it during the week, probably they're doing it at the office or in some other place where they can listen to music every single day of the work week.

And again, you can go a lot deeper on this.

And if you change the dots to be different symbols, for example, in our Spotify example,

We could choose to represent different features of the product.

Let's say if a user uses Search in Spotify, we'll put a little S next to it.

Or if they use maybe a playlist, they join a public playlist, let's say, we could put a P there.

And you might start to see patterns.

where specific features maybe drive behaviors in the product that you actually want.

Let's just say for the sake of argument that we see this one user here that joined a public playlist.

They then have a string of many, many consecutive days of using the product.

We could then infer like, oh, maybe the playlist feature is really causal to having people be really active in our product.

This is the sort of stuff that you can learn with dot plots.

So what's really great, for most founders, you have a very small number of users at the beginning.

And so you can literally look at every single user of your product on every single day they've ever used it, and it all fits on one screen on your monitor.

That's really great.

But it actually does scale to when you have thousands or millions or billions of users.

This is a tool that we used at Google Photos when we had well more than a billion users.

And the idea is you can just choose to sample your users and represent them on a dot plot however you want.

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