Hiring a data team too early is a common startup mistake — without a clear strategy for what to measure, more headcount just means more noise.
It's a familiar pattern: a startup raises its first real round, and one of the first hires is a data analyst or a small data team. Within a few months, dashboards multiply, but decisions don't get any faster.
The problem usually isn't the people — it's the absence of a strategy for what actually needs measuring. A data team without a clear question to answer will happily build reports nobody uses. The startups that get real value from data are the ones that define their two or three most important metrics first, then hire to support that — not the other way around.