Most product teams trust their analytics.
Until they discover they were making decisions based on broken tracking for months.
One team believed they had a 70% drop during registration.
Designs for a redesign were already prepared.
The real drop? Around 10%.
The issue was not UX.
The issue was the funnel setup itself.
Another example:
iOS tracked an event on button tap.
Android tracked the same event only after validation success.
Product teams saw a huge “drop on validation errors” and started discussing UX problems that did not actually exist.
These kinds of inconsistencies happen more often than most companies think:
— different tracking timing across platforms,
— inconsistent event semantics,
— broken funnel assumptions,
— analytics drifting after releases,
— event names that mean different things on different clients.
The result is always the same:
teams lose trust in data and start making product decisions in uncertainty.
At X91 Tech, I focus not only on analytics consulting, but also on implementation ownership:
— tracking architecture,
— mobile/web consistency,
— funnel setup,
— implementation reviews,
— analytics QA,
— long-term tracking reliability.
The goal is simple:
help product teams trust their data again.
Originally published on LinkedIn by X91 Tech.
