Why analytics feels broken
You installed the tools. You built dashboards. Still: no clarity.
Most analytics problems aren’t “lack of data.” They’re a messy combination of tracking debt, inconsistent metrics, and reporting that doesn’t match real decisions.
Too many metrics
Hundreds of charts. No shared definition of “success”.
Low trust
Numbers disagree across tools. People stop believing.
Tool sprawl
Product analytics + BI + warehouses + CDPs… and nobody owns the system.
What “the mess” looks like in practice
- Events tracked inconsistently across platforms and teams
- Properties missing or changing names over time
- Dashboards built once, never maintained
- Experiment results that can’t be reproduced
- Stakeholders asking for “one more dashboard” instead of clearer questions
The goal isn’t more tracking. The goal is a system that produces answers you can act on.