I talked to dozens of founders about their analytics. Almost all of them have the same 3 problems.

I've been building an analytics tool for the past months and had a ton of conversations with founders and PMs about how they use data. The same patterns keep showing up.

Problem 1: Tracking everything, analyzing nothing.

Most teams set up analytics once, add 200+ events, and then look at maybe 5 of them regularly. The rest just sits in a database costing money. One founder told me he had 400 tracked events and couldn't name what 300 of them were for.

Problem 2: Dashboards create an illusion of being data-driven.

Having a dashboard open doesn't mean you're making data-informed decisions. I keep seeing teams where the PM checks the dashboard every morning, sees numbers go up or down, and then makes decisions based on gut feeling anyway. The dashboard is just a screensaver with anxiety.

Problem 3: The people who understand the data don't make product decisions.

The data person builds the query. Sends it to the PM. PM doesn't fully understand the context. Asks a follow-up. Data person is busy. Decision gets made without the data anyway. Repeat weekly.

The common thread is that the gap isn't data collection. Everyone has that figured out. The gap is going from "here's what happened" to "here's what to do about it."

That's what I'm trying to solve with Xora Analytics -> AI that analyzes your user behavior and tells you what's broken and what to fix first. No dashboards, no SQL, no guessing.

Still in beta. Would love feedback from anyone who's dealt with these problems.

https;//analytics.xora.es