Bobby.
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Google AI:
The automatic firing of the bottom 10% of workers, often referred to as "rank and yank" or a "vitality curve," is a performance management system famously championed by Jack Welch during his tenure as CEO of General Electric (GE) in the 1980s and 1990s. The approach aims to ensure continuous workforce improvement by ranking employees and removing the lowest performers, regardless of overall team performance.
Key Aspects of the 10% Firing Rule: The "20-70-10" System: Welch categorized the workforce into three groups: the top 20% (A players, rewarded with bonuses/promotions), the middle 70% (B players, developed), and the bottom 10% (C players, "yanked" or fired).
Goal: The strategy aimed to constantly raise the bar, replacing underperformers with new hires to foster a high-performance culture.
"Neutron Jack": Welch earned this nickname for his scorched-earth approach to reducing the workforce through this system.
Companies Associated with the Practice: General Electric (GE): The most famous user of this system under Jack Welch, though it was largely phased out after he departed.
Amazon: Reports indicate that some managers at Amazon use "unregretted attrition" (URA) targets, or a similar "rank-and-yank" approach, to push out a percentage of underperforming staff annually.
Other Companies: Historically, companies such as Microsoft, Ford, Conoco, and others used forced ranking, though many, including Microsoft, abandoned it due to toxic effects on culture.
Intuit: In 2024, the company was noted for cutting ~10% of its workforce, intending to replace underperformers with new talent focused on AI.
Controversies and Drawbacks: Kills Collaboration: It creates a cut-throat, Darwinian environment where employees avoid helping teammates because helping someone might hurt their own ranking.
Arbitrary Firing: It forces managers to fire people even if the entire team is performing well.
High Turnover/Morale Damage: It creates a culture of fear, leading to high anxiety and disengagement among staff. Ineffective Long-Term: Studies suggest that this system often does not lead to long-term success and discourages innovation.
While the practice fell out of favor, some reports suggest it is seeing a "quiet comeback," particularly in tech companies that use advanced data analytics to justify the rankings.
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