Surrogation
People don’t game a metric so much as sincerely forget it was ever a proxy, and start treating the number itself as the goal.
What Is It?
Surrogation describes what happens when a measure, originally adopted as a stand-in for something harder to observe directly, quietly replaces the thing it was meant to represent in people’s actual thinking. A customer satisfaction score is a proxy for whether customers are genuinely well served. A revenue target is a proxy for building a sustainable, valuable business. Surrogation is the moment those proxies stop feeling like proxies and start feeling like the actual objective, so that moving the number and achieving the underlying goal become, in people’s minds, the same thing.
This is a quieter and more insidious cousin of Goodhart’s Law. Goodhart’s Law describes people deliberately exploiting a metric once it becomes a target, consciously finding ways to move the number without moving reality. Surrogation doesn’t require that kind of deliberate gaming at all. It’s a genuine, often unconscious substitution: people aren’t cynically manipulating the score, they’ve sincerely come to believe the score is the thing that matters. Goodhart’s Law changes what people do. Surrogation changes what people think they’re trying to do. The relationship often runs deeper than mere cousinship: Goodhart’s Law frequently begins with surrogation, since once people have genuinely come to experience the proxy as the goal, optimizing the proxy no longer feels like gaming the system, it feels like good management. The research literature that named the phenomenon found it strongest specifically among people who were otherwise conscientious and well-intentioned, precisely because the substitution happens below the level of deliberate strategy. One reliable tell that surrogation has taken hold is linguistic: people stop talking about the measure as a score or an indicator and start talking as though the measure itself were the underlying reality.
Why Does It Matter?
Every organization relies on proxy measures, because the outcomes leadership actually cares about, customer trust, product quality, organizational health, are usually too diffuse or slow-moving to observe directly on any useful timescale. The proxy is supposed to be a useful approximation that people keep in perspective. Surrogation is what happens when that perspective quietly erodes: the team stops asking “is this number still telling us something true about the thing we care about” and starts simply asking “did the number go up.”
This is dangerous precisely because it doesn’t look like misconduct. A team hitting its numbers while surrogation has taken hold looks, from the outside, exactly like a team succeeding. The gap only becomes visible later, when the proxy and the underlying reality have drifted far enough apart that a customer complaint, a quality failure, or a strategic blind spot arrives that the metric never had any way of registering. By then, the organization has often spent months or years optimizing confidently for the wrong thing while genuinely believing it was optimizing for the right one.
The risk compounds with time. The longer a proxy has been in place, the more likely it is that the people who originally chose it, and understood exactly why it was a proxy and not the goal, have moved on, while everyone who joined later has only ever known the number itself as the target.
What Changes Once You See It?
You stop assuming that a team hitting its targets is automatically pursuing the underlying goal, and start periodically asking a more basic question: if this number and the outcome it’s supposed to represent ever diverged, would anyone here notice, and how?
You start treating strong metric performance as a claim that needs occasional direct verification against the reality it’s supposed to represent, rather than as self-evidently good news, especially for metrics that have been in place long enough that people may have stopped remembering they were ever meant to be proxies at all.
You also get more deliberate about periodically restating, out loud, what a given metric is actually a stand-in for, since surrogation feeds on that connection quietly fading from view over time, not on anyone consciously deciding to abandon it.
Common Misunderstandings
- It is not the same as Goodhart’s Law, even though the two are closely related and often co-occur. Goodhart’s Law describes deliberate gaming of a target once it becomes consequential. Surrogation describes a sincere, often unconscious substitution of the proxy for the goal, with no gaming or bad faith required.
- It doesn’t require the metric to be a bad one. Even a well-designed, genuinely informative metric is vulnerable to surrogation, since the failure mode isn’t a flaw in the measure itself, it’s a drift in how people relate to it over time.
- It is not primarily a motivation problem, and exhorting people to “remember what really matters” rarely fixes it on its own. The substitution happens so gradually that people often can’t identify the moment the proxy stopped being a measure and became the mission, which means the fix usually has to be structural, periodic reconnection to the underlying reality, rather than purely motivational.
- It isn’t limited to financial or performance metrics. Any proxy used as a stand-in for a harder-to-observe goal, an engagement score standing in for genuine community health, a test score standing in for real learning, is susceptible to the same quiet substitution.
- It is not an argument against using proxies at all. Organizations cannot function without them, since the outcomes that matter most are usually too diffuse to observe directly. The question surrogation raises isn’t whether to use a proxy, it’s whether the organization is still actively checking that the proxy reflects the underlying reality.
Diagnostic Question
If this number and the outcome it’s supposed to represent quietly diverged starting today, is there anything in how we currently work that would actually catch it?
Explore Further
Field Notes
None yet.
Related Field Guide
- Goodhart’s Law
- Campbell’s Law
- Cobra Effect
- Ratchet Effect
- G.I. Joe Fallacy
- Asimov’s Three Laws
- Handicap Principle
- Simpson’s Paradox
- Streetlight Effect
Origin
The term “surrogation” was introduced into the management accounting and organizational behavior literature in research on how incentive compensation affects strategic decision-making, notably by accounting researchers Willie Choi, Gary Hecht, and William Tayler, whose experimental work found that people compensated on a strategic performance measure came to treat the measure itself as the strategy, even when the two were explicitly distinguished for them beforehand.