You track everything in your business now. Daily active users, lines of code written, customer satisfaction scores, and average handling time. It feels productive. It feels scientific. But you are probably walking straight into a trap that British economist Charles Goodhart warned about fifty years ago.
When a measure becomes a target, it ceases to be a good measure. For a different perspective, check out: this related article.
That is the core of Goodhart's Law. Back in 1975, while working on monetary policy, Goodhart pointed out that any observed statistical regularity will tend to collapse once pressure is placed upon it for control purposes. People optimize for the test, not the outcome. If you reward software engineers by the number of bug tickets they close, they will split minor bugs into five separate tickets. If you grade schools purely on standardized test scores, teachers will teach exclusively to the test while real education plummets.
The Trap of Metric Fixation
We fall for numbers because they offer the illusion of control. I have watched startup founders obsess over monthly recurring revenue growth while ignoring churn, assuming top-line additions solve every underlying product flaw. They hit their targets on paper while the core business quietly hollows out. Further analysis regarding this has been provided by Reuters Business.
The moment you attach a bonus or a performance review to a specific metric, human ingenuity kicks into reverse gear. Employees stop trying to build a great company and start trying to game the dashboard.
Consider how this plays out across different industries:
- Customer support teams measured by call duration will rush callers off the line with unresolved issues just to keep their stats green.
- Content teams judged purely on pageview counts will flood sites with clickbait rather than deep, informative reporting.
- Sales representatives chasing raw lead volume will cram the pipeline with unqualified prospects who never intend to buy.
The numbers look great on the weekly executive slide deck. Reality on the ground is an entirely different story.
Why Goodharting Happens So Easily
People aren't trying to sabotage your organization. They are just responding rationally to incentives. If you tell an entire organization that metric X equals success, you shouldn't be surprised when they optimize for metric X at all costs.
Goodhart's original insight wasn't just about human cheating. It was structural. Economies and organizations are complex, adaptive systems. When you squeeze one variable, the system bends somewhere else. You cannot isolate a single indicator without altering the behavior of the people inside that system.
How to Build Better Systems Without Drowning in Data
You cannot run a modern organization entirely on gut feeling, either. Ignoring data leaves you flying blind. The fix requires changing how you use metrics. Treat them as diagnostic dashboards rather than weapons for reward and punishment.
Shift your focus toward process and long-term health rather than short-term numerical checkpoints. Watch the trends instead of obsessing over a single threshold. Talk directly to your customers and your employees instead of relying solely on automated reports. When numbers start moving dramatically in one direction, treat it as a signal to investigate, not an automatic reason to hand out bonuses or penalties.
Stop treating metrics as absolute truth. They are just instruments on a dashboard, telling you when to look closer at what is actually happening.
The Metric Trap from Factories to AI
This video provides a helpful overview of how Goodhart's Law applies across different eras, from industrial quotas to modern digital metrics.
http://googleusercontent.com/youtube_content/1
