Subscription metrics and churn rates only tell half the story.
A single lifetime user who quietly relies on your software every day can teach you more about your product's actual worth than a dozen enterprise clients who just check boxes. We used to focus so much on monthly upgrades that we missed the people who were quietly getting deep value from the core features.
Do your analytics track how often people actually use the product, or just whether their credit card went through?
Our old knowledge base was packed with massive articles trying to explain every single detail. Customers rarely read them and jumped straight to emailing support instead.
We revamped the entire center by keeping each page focused on just one simple action and adding short video clips for common issues.
This week I rewrote our feature descriptions. Again. Third version.
What I didn't do was write to the eight people who said "ping me when it's ready" three weeks ago.
And I guess that editing copy gives me a finished thing at the end of the day. Sending those eight emails gives me eight chances to be ignored, and no way to tell if I did it well or badly.
Building always feels like progress. Selling only feels like progress in hindsight. So I hope it's not laziness. What was yours this week?
I ve recently launched an Android application and I m working on improving the streaming experience. I m particularly interested in reducing buffering and handling different network speeds more efficiently.
For developers who have worked on video-based apps, which tools or services would you recommend for adaptive bitrate streaming, CDN delivery, video encoding, and performance monitoring? I d like to choose a setup that can remain reliable as the user base grows.
One interesting thing I came across this week was that the CEO of Duolingo first declared intentions to use AI to replace contract workers in some positions. However, they later withdrew that comment, making it clear that AI will not replace its employees.
Ahh, this type of discrepancy appears to be happening more often, to be honest. The same thing happened to Klarna not long ago. That AI will take care of everything in one minute, and then, hold on: in reality, we still need human workers.
Spent weeks coding a feature I personally thought looked super cool only to check analytics later and see almost zero usage. Meanwhile actual user requests were sitting ignored in my notes.
Now I force myself to stick to a strict rule where I only build something if multiple users explicitly ask for it first.
Was there a specific moment or failed launch that made you stop building for yourself and start listening to users?
"Show, don't tell" is easy for visual consumer apps but it gets super tricky when you're building invisible backend logic or developer tools.
I spent weeks trying to simplify copy before realizing that a simple side by side "before and after" screenshot explained the core problem instantly. Once users get the visual hook, then they're actually willing to read a brief explanation.
Have you found a clean way to show complex data workflows visually without cluttering the screen?
This realization hits hard especially in tech where everyone worships hiring headcount and big funding rounds as the main scorecards.
I spent almost two years chasing higher team numbers just because it looked like progress from the outside only to realize it added massive overhead and stress I didn't actually want.
Moving back to a leaner model restored my focus completely.
Do you have a routine check-in with yourself to audit your active goals?
