What's one assumption about your users that turned out to be completely wrong?
I'll start.
I assumed that if someone signed up, they were interested enough to figure the product out.
That wasn't true.
A lot of people were curious, but unless they experienced the core value almost immediately, they never came back.
It completely changed how I think about onboarding and activation. Instead of adding more features, we've been focusing on making the first minute as useful as possible.
I'm curious what's one assumption your product proved wrong after you launched?
One thing I always find tricky about moments like that is how many explanations can fit the same behavior.
Someone signing up and never coming back can absolutely be an onboarding problem.
It can also be a sign that they understood the product perfectly and just didn't find enough value to continue.
Those are very different lessons to take from the same outcome, which is why I've become a little suspicious of the first explanation that feels obvious.
Completely agree. That's exactly why we're trying to avoid drawing conclusions from a single event.
A signup that never returns could mean poor onboarding, weak value, bad timing, or simply the wrong audience. Looking at that behavior in isolation can be misleading.
We're experimenting with combining multiple signals over time—things like repeat visits, feature exploration, and engagement patterns—to understand why someone behaves that way instead of assuming a single explanation.
Still early, but the goal is to reduce guesswork and make decisions based on patterns rather than one-off events.
That's exactly the part I'd be most interested in.
Reading your reply, I can already see a few different stories that could plausibly be told from the same set of observations, and they don't all point to the same next decision.
I've got a few thoughts on that, but it's probably more than I'd try to unpack properly in a thread.
What's the best email to reach you on?