I launched ChatClipThat.com with a gray globe favicon and no logo. No one mentioned it once.
That's information velocity in action: the speed at which you turn user signals into product decisions.
The signal? Silence. The decision? Keep moving.
But information velocity isn't just about having a ton of data. It's about moving fast with intent and reacting on them.
And people are catching on. Search interest for the term has been on the the rise thanks to data-driven culture, and famously, AI.
I've learned to alter my thinking to accommodate this shift, and this is how I tackle the intersection between products and users, using information to my advantage:
Users don't care about a logo or favicon
200 users later? Still, no one had mentioned it.
I classify the brand identity as an idea: it's only important to you.
It's the concept and abstract classification of a brand's identity. It does not solve problems.
That was my first lesson in information velocity: if it doesn't break the product, keep moving.
If your product solves a problem, users will tolerate bad UX
This is said tongue-in-cheek, because if you've ever tried to click a checkbox and it didn't check, instead of putting up with friction, plenty of us have closed the tab and gone to a competitor.
But, if the product exists and it's either 1) the only one, or 2) better than the competitors, you probably refreshed the page or retried on an incognito window to see if it was a "you-or-them thing".
If your users see you solve their problems and they know they can get value, those UX imperfections don't matter.
Interfaces route user-behavior, but someone who wants something will fight for it.
The outcome is one of the only things users care about. While ease is absolutely paramount for adoption, how well the product solves their problem is even more important.
Are you shipping the right things?
This is where data comes into play: if users still make it to the finish line, was the UI really the driving force?
Directed feedback is rare
The age of consumerism is upon us. Feedback surveys, custom email campaigns, and manual reach-outs only get you so far. Users don't act the same way as they did in 2014.
Even the giants are catching on. Instagram recently announced they're no longer measuring likes. It's about views. Even platforms built on explicit feedback (likes) are pivoting to attention-based signals.
A view implies active participation and conversation potential.
Views, revenue, word-of-mouth: these are your velocity signals. The faster you read them, the faster you adapt.
In my experience, the raw truth is if users like your product, they'll actively give you money and they'll talk about it.
I never got a single feature request. I got 400 users. That was the feedback.
How does information velocity tie into this?
How fast can you learn from these ideas to start implementing and building yourself? To make the best decisions, we need information. And in 2025, we have a lot of it.
Ideas without action are worthless. Action against data is what drives success.
Sometimes the data exists between the lines, and sometimes the data is present and apparent. Ultimately, the data is there, and it's growing by the second: how fast can you react to it?
So, with 400 users and counting, I've learned that only three things really matter:
1) Make sure you're solving a problem.
2) Just ship the damn thing. Things will be imperfect. This is why we react to data.
3) Iterate with as much data as you can, and quickly.
What's one feature you shipped because you read a signal faster than your competitors? Or, what's something your competitors missed?
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