More Metrics, Less Control
Introduction
Trade tariffs, rising oil prices, supply chain disruptions. Whenever a crisis hits, leaders instinctively tighten their grip — demanding more reporting, finer-grained targets, quantifiable goals from every corner of the organization. The instinct itself is understandable. The problem is what it produces.
More metrics. More dashboards. More measurement theater.
Does any of this actually give leaders more control? Drucker says no.
Measuring More Doesn’t Mean Controlling Better
Most leaders assume that a well-built measurement system equals a well-run organization. Drucker challenges this directly. Measurement and control are not the same thing. Metrics capture the past. Control shapes the future. No matter how sophisticated your KPI framework, it cannot tell you where your organization needs to go.
Why not? Drucker points to three fundamental problems.
First, measurement is never neutral. The moment you decide to measure something, you’re making a declaration: this is what matters here. People respond accordingly — optimizing for the number rather than the outcome it was meant to represent. Once hitting an internal target becomes the objective, real performance quietly takes a back seat.
Second, the scoreboard is inside. The game is outside. Everything that happens within a company generates only costs. Real results exist solely in the market — with customers. An internal efficiency metric that looks perfect today can become irrelevant overnight when market conditions shift. The targets you set in January may mean very little by December.
Third, metrics should drive self-control, not surveillance. A control system isn’t a tool for managers to monitor people from above. Its true purpose is to give the people doing the work the feedback they need to manage their own performance and stay aligned with their mission. Metrics that serve any other purpose don’t strengthen control — they generate conflict and waste.
Discussion: The Illusion of Tight Management
The Finer You Slice, the Less You See
A global automaker long managed regional sales performance on a monthly basis. On the surface, this looked like rigorous oversight. In practice, it produced a predictable distortion: regional sales teams, under pressure to hit their monthly numbers, began pushing inventory onto dealers at month-end. Dealers quickly learned to use this pattern as leverage in negotiations. The numbers were always met. The hidden costs kept compounding. It was no accident that the company eventually abandoned monthly sales targets altogether.
I saw the same dynamic in consulting. A client once asked me to break down a market forecast — worth hundreds of billions of won — to the nearest million. Does the difference between rounding to the billion or the million have any real strategic significance? Of course not. But nobody counted the cost of producing and maintaining all those extra decimal places. One participant put it plainly: “Entire departments were doing work just to generate data. Nobody was actually reading it.”
The Things That Disappear When You Put Them in a Spreadsheet
There’s a second trap that comes with metric obsession: the assumption that what can’t be measured doesn’t really matter.
One participant observed: “The push for data-driven decision-making has created a quiet but dangerous bias — if you can’t measure it, it must not be important. Or worse: if you can’t measure it, you must be lazy.”
Another participant, who leads talent development, described a pressure she knows well. Her organization was asked to evaluate training programs by their impact on on-the-job application and return on investment. Nearly impossible to measure with any rigor — yet the question from leadership never changes: “We invested this much — what did we get?” Numbers get manufactured, and the things that actually matter get crowded out. As she put it: “The more important something is, the worse it tends to look once you force it into a metric.”
Real Control Comes from Goals, Not Metrics
This was the question that generated the longest discussion in our group: what should senior leadership in a large, complex organization actually do?
One participant drew on Alfred Sloan’s experience at General Motors. “Sloan’s lifelong commitment to decentralization wasn’t a historical accident. It was a philosophy. The belief that every unit of an organization should have the autonomy and accountability to contribute on its own terms — while still moving in a common direction. The idea that you can run a large organization by pulling every thread from the center isn’t just inefficient. It’s the wrong question entirely.”
What senior leadership can actually do comes down to this: set clear goals for each functional leader, create the conditions for them to achieve those goals autonomously, and focus their own energy on orchestrating alignment across the whole. Hyundai today faces simultaneous transformations — AI, electrification, and deep internal restructuring. The more its leadership tries to control everything from the center, the further they drift from the market signals that matter most. When each leader owns their mission, the organization as a whole becomes genuinely controllable.
Closing: The Metric You Actually Need
One participant closed the discussion with a provocation that has stayed with me: “KPIs aren’t something leadership imposes on people to evaluate them from above. They’re something each person should develop for themselves — to do their own job better, to stay more faithful to their own mission.”
I spent years in consulting designing KPI frameworks for large organizations. Looking back, I find myself asking a question I didn’t ask often enough at the time: who were those systems actually for? Were they there to help the people doing the work perform better? Or were they there to manage the anxiety of the people at the top?
Which one describes the metrics being built in your organization right now?