Contact Us

Contact Us Today

Lean Horizons Consulting

3 Reasons to Stop Measuring Productivity (and What to Measure Instead)

Is your organization using performance metrics like productivity in order to identify where improvements can be made?

If so, you’re in good company. Measuring productivity has long been held as the standard for assessing performance, but this is exactly where leaders and the enterprises they shepherd tend to falter.

While performance metrics provide the foundational data needed to accurately pinpoint areas of growth and decline, focusing on the wrong metrics can steer your organization in the wrong direction.

Looking at this phenomenon through a Lean lens reveals how standard productivity metrics reward local efficiency but often mask systemic waste, poor flow, and customer dissatisfaction. Effective Lean leadership requires challenging these legacy paradigms and measuring what truly matters: process stability, flow, and the ability to deliver value to the customer.

1. Productivity Is a Lagging Indicator

For decades, organizations have treated productivity as the ultimate proof of performance. If output per hour rises or efficiency scores tick upward, the assumption is that the business has improved. But in Lean terms, those numbers don’t tell the real story.

In fact, the one thing these measurements have in common is that they’re lagging indicators. Lagging indicators are metrics that only show the results of past performance, not the reasons why performance improved or declined. 

Leaders familiar with Lean principles will be able to identify the issue inherent in allowing lagging indicators to lead right away. Continuous improvement, a core facet of Lean leadership, depends on locating causes and measuring process health, not end results.

“Your productivity is a lagging indicator, and it’s reflective of how good your processes are.” — Mark DeLuzio 

When enterprises focus exclusively on backward-looking figures, they end up managing outcomes instead of processes. By the time a drop in productivity appears on a report, the underlying issue (equipment downtime, unclear standard work, supplier delays, or a process bottleneck) has already happened.

So, measuring productivity after the fact doesn’t prevent the problem or build capability. It simply documents the damage.

2. Traditional Productivity Metrics Reinforce the Wrong Behavior

At the core of every successful Lean transformation is a focus on people. When productivity becomes the measure of success, the people in your organization will naturally adapt to protect the metric, not the mission.

Standard metrics like productivity promote local, isolated optimization. To the people of your enterprise, this translates as, “Do more faster,” not, “Flow better together.” If your employees are rewarded for doing more, rather than doing better, they’ll be encouraged to maximize short-term output even if it creates excess inventory, quality issues, or uneven workloads downstream.

In essence, utilizing a lagging indicator like productivity creates “batch and queue” thinking.

This is a legacy of cost-accounting logic that prizes local efficiency over system performance. Operators are praised for staying “busy,” even if that activity produces no value for the customer. Managers chase utilization targets rather than stability. The result is a culture of localized productivity improvements, which may not benefit the overall organization.

A true Lean organization measures flow and problem-solving, not individual output. When teams focus on meeting customer demand at the right pace, productivity becomes a natural outcome, not a forced one.

3. Misguided Cost Systems Create Noise, Not Insight

It’s important for leaders to understand that much of today’s productivity measurement comes from accounting systems that were never actually designed to improve performance. Traditional cost models rely on standard cost efficiency, or a comparison between actual results and theoretical targets.

Sure, these systems generate spreadsheets full of numbers about labor variances, utilization percentages, absorption rates, and the like. But the irony is these very numbers don’t actually explain how work is flowing, and can even obscure what’s really happening.

“Maybe it’s gainful employment for your accountants, but you’re certainly not providing any value to management on your analysis.” — Mark DeLuzio

And, when an individual or department misses a performance target, the knee-jerk response from management is often to blame “bad standards.” Through a Lean lens, however, problem solving requires clarity from where the issue stems. Whether it’s from the absence of a standard, a standard that is not being followed, or a standard that genuinely needs improvement, the goal is still to focus on the underlying process, not to redirect blame.

Labor efficiency, for example, might seem like a logical productivity metric, yet direct labor typically represents just 10–12% of total cost. Focusing continuous improvement efforts there ignores far greater sources of waste in material flow, scheduling, or design. It also risks turning people into scapegoats for systemic inefficiency.

What to Measure Instead (and Why It Works)

If traditional productivity metrics tell you what happened, Lean performance metrics tell you why. The difference lies in measuring the process, not the output.

Rather than tracking how many units an employee produced, Lean leaders ask: Did the process run at the right pace? Did value flow smoothly to the customer? Were abnormalities visible and addressed in real time?

The most effective measure for this is TAKT Time performance, or the rate at which work must be completed to meet actual customer demand. Unlike productivity scores, TAKT Time connects every process step directly to the customer and exposes whether work is flowing as intended.

When teams measure performance against TAKT Time, they can immediately see when they’re ahead, behind, or off-standard, and then respond accordingly.

This shift transforms metrics from judgment tools into learning tools. Instead of rewarding the fastest worker or the busiest team, TAKT Time-based measurement encourages collaboration, problem-solving, and process discipline. It supports continuous improvement cycles (Kaizen) by making problems visible and actionable.

When organizations align their measures with flow, quality, and customer value, you no longer need to worry about productivity. In a stable Lean system where processes run to TAKT Time and problems are surfaced daily, performance improves naturally, and teams can focus on continuous learning and improvement.

Redefining Performance at the Leadership Level

The problem with productivity metrics isn’t that they’re inaccurate. It’s that they reinforce the wrong mindset. They focus attention on outputs instead of systems, on individuals instead of processes, and on the illusion of control instead of genuine understanding.

So abandoning productivity as a primary measure isn’t a rejection of results but rather a recognition of what truly drives them. Because the companies that excel in Lean transformation do so by leading with purpose, process, and principle.

For executives, this means challenging the accounting paradigms that have shaped management thinking for decades. Productivity numbers are alluring because they’re simple and familiar. But Lean leadership is about clarity, not comfort.

When leaders move beyond lagging indicators and measure the behaviors that create flow and value, they stop managing symptoms and start transforming systems.

That’s the real lesson of Lean. Improvement doesn’t come from measuring people harder, it comes from understanding processes deeper. And when you get that right, productivity takes care of itself.

Flatlined: Why Lean Transformations Fail and What to Do About It Book Cover

Flatlined: Why Lean Transformations Fail and What to do About It

Turn Waste into Wealth: How to Find Cash in Every Corner of the Company Book Cover

Turn Waste into Wealth: How to Find Cash in Every Corner of the Company