Many teams collect strong data and build detailed reports, but decision-makers still struggle to act on them. Structure, framing, and clarity often matter more than the volume of metrics.

At a high level, how do experienced teams think about organizing analytics outputs around decisions rather than data? What principles help ensure reports stay focused, readable, and useful as complexity grows?

Would love to hear perspectives from people who have built or scaled analytics functions.