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A formula grading managers on team output divided by headcount creates a perverse incentive. To maximize their score, managers are encouraged to minimize headcount and overload the remaining team members, leading to unsustainable workloads and burnout.
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By ranking engineers on AI token consumption, Meta is experiencing Goodhart's Law: "When a measure becomes a target, it ceases to be a good measure." Employees reportedly build bots to needlessly burn tokens for status, demonstrating how gamifying a proxy metric can backfire and disconnect from actual business impact.
Focusing on individual performance metrics can be counterproductive. As seen in the "super chicken" experiment, top individual performers often succeed by suppressing others. This lowers team collaboration and harms long-term group output, which can be up to 160% more productive than a group of siloed high-achievers.
A forced curve in performance reviews incentivizes managers to keep underperformers on their team. This "dead weight" can be easily sacrificed to protect higher-performing members, turning team composition into a perverse strategic game and making teammates adversaries.
When companies measure AI adoption by counting tokens used, it creates a perverse incentive. Employees and their teams create agents to perform pointless tasks simply to boost their metrics, leading to fake productivity and problematic artifacts.
Focusing solely on an individual's output metrics, as advocated in Andy Grove's "High Output Management," overlooks how the system itself hinders performance. This leads employees to game metrics rather than improve the overall process.
Consistently requiring 80-100 hour workweeks isn't a sign of a high-performing team but evidence of a poorly designed system. Leaders should fix the underlying issues rather than celebrating the burnout-inducing "heroic" efforts.
Leaders focus on increasing reports because headcount is an objective metric for promotion, unlike subjective assessments of business impact. This creates an incentive for managers to accumulate people, even if it's not the most impactful business decision.
Leaders often react to team burnout by hiring more people. However, this is often a symptom of broken systems, not a true headcount issue. Adding staff without fixing underlying processes leads to a bloated, inefficient, and expensive team.
A Soviet nail factory, first incentivized by the number of nails, produced millions of uselessly tiny nails. When the incentive changed to total weight, they produced uselessly giant nails. This is a classic example of Goodhart's Law: when a measure becomes a target, it ceases to be a good measure.
Teams often self-limit output because they know overperformance will simply raise future targets to unsustainable levels. This "prison of expectations" incentivizes predictable mediocrity over breakthrough results, as employees actively manage goals to avoid future failure.
