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Case study · Manufacturing

From 76 Measures to 14: How a Manufacturer Connected Daily Work to Executive Results

76 → 14
measures leadership actually uses
At a glance
Refined 76 disconnected measures down to 14 critical measures in the first production stream
Measures in the stone production stream refined from more than 80 down to 15
Connected every operational measure to four enterprise outcomes leadership is accountable for
Gave teams a clear line of sight from daily work to company performance
Industry
Manufacturing: bronze plaques, granite memorials, and stone installations
Structure
Multi-stream manufacturer with separate bronze and stone production
Challenge
More than seventy measures with no clear link to enterprise results
Engagement
Work Measurement design using the Work Excellence Method

The challenge

A manufacturer of bronze plaques, granite memorials, and stone installations had built up a large amount of measurement over years of steady improvement: labor hours per piece, production rejects, throughput, installation performance. Individually, almost every measure was useful.

Together, they were hard to read. Across the business, teams had identified more than seventy measures, and leadership still struggled to answer a simple question: which of these actually drive performance?

Part of the issue with measurement in many organizations is the connection between the measures. Here, that showed up as:

Teams focused on local measures without seeing their wider impact
Leadership unable to see how operational improvements affected company results
Executive reviews spent reconciling numbers rather than deciding what to do

The company needed a way to connect daily operational work to the results leadership was accountable for.

Our approach

We worked alongside the leadership team to design a structured measurement system tied to the organization’s strategic priorities. The team started at the top rather than the bottom, agreeing on four enterprise measures that defined business success:

Return on Assets
Revenue
Net Income
Revenue per full-time employee

From there, the team worked through five steps together:

1. Inventory every existing measure

In the first production stream alone, that came to seventy-six indicators.

2. Test each one

The people who owned the work asked of every measure: does it influence one of our four enterprise outcomes, does anyone act when it moves, and do two departments calculate it the same way?

3. Keep the critical few

Measures that failed the test were not deleted. They stayed available, but stopped being treated as signals that needed leadership attention. Fourteen critical measures remained.

4. Connect measures to the Work System

Each measure was mapped to the phase of the work where it is produced, so leaders could see not just the number but where it comes from.

5. Set targets and priorities

Targets were set from the enterprise goals, and each area was rated on current strength against improvement potential to decide where to focus first.

What the team built

The result was a connected measurement structure that runs from the top of the organization to the daily work:

Enterprise measures

Four measures that define organizational success.

Critical operational drivers

Fourteen measures that translate strategy into performance the teams can influence.

Department and process measures

Everyday measures, each linked to the operational driver it supports.

The team then ran the same process on the stone production stream, where more than eighty candidate measures came down to fifteen, tied to the same four enterprise outcomes.

Results

Measures reduced from 76 to 14 in the first production stream, and from more than 80 to 15 in the stone stream
Teams can see how reducing rejects, improving labor efficiency, or increasing throughput affects company results
Leadership meetings shifted from checking whether the numbers were right to deciding what to do next
Improvement effort focused where it would create the most value

Leadership meetings started to change. The team stopped debating the numbers and started using them, because everyone was working from the same fourteen measures and reading them the same way.

What this means for leaders

More measurement does not create more clarity.

Many organizations track dozens of measures, but few have a clear structure connecting operational performance to the outcomes leadership cares about. Without that connection, teams optimize locally and reviews turn into debates about the data.

This case shows that when measurement is built from enterprise outcomes down to daily work, teams can see how their effort matters and leaders can focus where it counts.

Key takeaways
A measure is only useful if it connects to an outcome and triggers an action
Fewer, well-defined measures create more clarity than many disconnected ones
Linking measures to the work system shows where performance is actually produced

Measurement clarity comes from connection, not volume.

Reviewing which of your measures genuinely guide decisions is often one of the fastest ways to sharpen how leadership runs the business.

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