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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recordings per month · last 12 monthsRecordings per month over the last 12 months — 1 in all, peaking in Jul 2026 with 1.
Appearances
is a pretty high density visualization of individual users and their usage over time.
What's really cool about this is it lets you figure out patterns
that you probably would not have seen with your human brain just looking at aggregate charts or looking at individual user logs.
Okay, so let's look at this example I've just drawn.
For our Spotify app, what do we see?
What patterns have emerged now that we can see individual users and their own behavior?
Well, one thing I see is it seems like there's a set of people who use the product on weekdays, right?
We've got myself, we've got user number three here, user four used it on a Monday, user six used it during the week.
And there's a couple of users who seem to kind of only use it on the weekends.
That's an interesting observation that might help me redesign my product in a different way or target different users, maybe understand which users are the most valuable ones to me.
Do I want the weekday work time listeners or do I want the weekend users?
We would have no idea about this if we didn't have a dot plot visualization like this.
Another thing I can see is
a measure of retention.
Like, do we see a lot of users like User 4 that try the app on one day and then never come back?
If we see that on a bunch of our rows, we have an idea of a potential problem that we've got in our onboarding or other things.
As you get more sophisticated with dot plots, you can make them as intricate as you want.
At Bump, we had different symbols that we would put into these cells.
So we knew whether you shared your contact information using Bomb or if you shared a photo.
And it gives you a lot more granularity.
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