Stickiness = Daily Active Users / Monthly Active Users
S = DAU/MAU
It asks, "Of the members who were active in the last 30 days, how many are active today?"
I love that it removes inactives and focuses on the depth of engagement amongst your active members.
During onboarding, it must always be clear what the next step is. And that step must appear easy. This is how you build momentum to propel users toward the end of your product journey.
C. THI NGUYEN: Twitter is doing two things simultaneously. One thing it’s doing is it’s flattening all the kind of rich reactions you have into likes. So already you have not only a binary filter— like or dislike— that pushes you in the direction of aggregated numbers instead of a few deep connections, but you also get this timing filter where... See more
If someone you know, like, and trust believes a radical idea, you are more likely to give it merit, weight, or consideration. You already agree with them in most areas of life. Maybe you should change your mind on this one too. But if someone wildly different than you proposes the same radical idea, well, it's easy to dismiss them as a crackpot.
This, then, is the magic of the design of TikTok: it is a closed loop of feedback which inspires and enables the creation and viewing of videos on which its algorithm can be trained.For its algorithm to become as effective as it has, TikTok became its own source of training data.
Smartphones represented a new generation of computing. But they also represented a new generation of users: the birth of the casual user, where anybody could be a part.