Kestrel Metrics

The challenge

A fictional analytics team needed an interface that helped operators distinguish an urgent exception from normal variation. Dense tables and competing charts were making every signal appear equally important.

Our approach

We grouped information around the decisions an operator makes during a shift. A compact overview leads to a focused exception queue, with source context available beside each item.

A practical outcome

The prototype gives every alert an owner, a reason and an explicit next step. A shared component library keeps the overview, detail and review states consistent as new metrics are introduced.

The content model separates metric definitions, exception records and review notes so each can be maintained by the person responsible for it.