Seventy-six measures became fourteen that leadership actually uses

Where it started

This manufacturer produces bronze plaques, granite memorials, and stone installations. Over years of steady improvement, teams across the business had built up an enormous amount of measurement. Labor hours per piece. Production rejects. Throughput. Installation performance. Individually, almost every one was useful.

Together, they were unreadable. Leadership could see that numbers were moving without being able to say which movements mattered. Teams optimized their own local metrics with no line of sight to company performance. Executive reviews were spent reconciling figures rather than deciding anything.

The problem was not a shortage of data. It was that no structure connected daily operational work to the outcomes leadership was accountable for.

What we did together

We started at the top rather than the bottom. Working with the leadership team, we identified the four measures that actually defined business success for them: Return on Assets, Revenue, Net Income, and Revenue per Full-Time Employee.

With those fixed, the team inventoried everything currently being measured. In the first production stream alone that came to seventy-six indicators. Then each one went through a single question, asked by the people who owned the work:

Anything that failed all three was informational rather than critical. It did not get deleted, it got demoted. The team kept access to everything; they simply stopped treating it as a signal that deserved leadership attention.

What survived became fourteen critical measures. Each one was then mapped to the phase of the work system where it is actually produced, so leaders could see not just the number but the place the number comes from.

What changed

For the first time, operational metrics connected to executive outcomes. Someone reducing rejects on the bronze line could see the path from that work to Return on Assets.

Reviews changed character. Instead of validating data, the team started acting on it, because everyone in the room was reading the same fourteen numbers the same way.

The same process was then run on the stone production stream, where eighty candidate measures came down to fifteen, tied to the same four enterprise outcomes.

Most organizations do not have a measurement problem. They have a connection problem. If a measure cannot be traced to an enterprise outcome and an action in someone’s week, it is reporting, not measurement.