Government hiring is inefficient because it relies heavily on self-assessments and resume screens, with 90% of hires using only these methods. Hiring managers are excluded from the initial screening process, which is controlled by HR. Candidates who know how to game the system—such as by copying and pasting job description keywords into their resumes—are prioritized, often leading to unqualified candidates being shortlisted.
The 'cascade of rigidity' refers to the process where well-intentioned laws and policies, such as the Civil Service Reform Act of 1978, become overly rigid as they are operationalized. This rigidity leads to hiring practices that deviate from the original goal of merit-based hiring, resulting in inefficiencies and the inability to assess candidates' actual skills.
SMEQA (Subject Matter Expert Qualifying Assessments) is an initiative by the United States Digital Service that allows hiring managers to assess candidates based on their actual skills, such as having programmers evaluated by other programmers. While it improves hiring quality, it remains a heavyweight process and has not scaled widely due to the cultural and procedural barriers within government HR systems.
Firing underperforming government employees is difficult because there are numerous pathways for employees to protest, such as filing complaints or lawsuits. Managers often avoid giving bad ratings or initiating termination processes because it consumes significant time and resources, leading to a culture where underperformers are transferred rather than fired.
Congress contributes to government inefficiency by adding layers of requirements and regulations over time, particularly in areas like software procurement. These requirements often lead to bespoke systems that are costly and slow to implement, rather than using off-the-shelf solutions. This accumulation of rules and processes complicates operations and reduces scalability.
Veterans' preference in government hiring, while well-intentioned, can sometimes lead to inefficiencies. When combined with other screening criteria, such as self-assessments and keyword matching, it may result in qualified veterans being excluded from the hiring pool, as the initial screening process prioritizes candidates who know how to game the system rather than those with the best skills.
The government's approach to software procurement is inefficient because it often involves creating bespoke systems to meet specific, often outdated, requirements. This process can take years, as seen in the case of California's unemployment insurance system, where requirements gathering alone took 11 years. The focus on accommodating every regulatory detail prevents the use of off-the-shelf solutions, leading to costly and slow implementations.
Regardless of your political ideology, it's easy to agree that government should work well; that it should be able to hire talented officials, and build things in a timely, cost-effective manner. Of course, what that means in practice is open for debate, and different people will have different priorities. But at the moment, there are reasons to believe the public sector isn't operating optimally. Things move incredibly slow in many cases. Software systems are often old and extremely costly, and don't do a good job serving the public's needs. It can be extremely difficult to bring on the best workers, even setting aside questions about public sector salaries. Jennifer Pahlka is the author of Recoding America, and was the founder of Code for America. She has also served as the US Deputy Chief CTO and has seen how much of government operates up close. We talk to her about what she's seen, how waste happens, how government operations get bogged down by inertia, and why simply identifying things that are going wrong isn't enough to change them. She talks to us about Elon Musk's Department of Government Efficiency, and why a major jolt may be necessary to get better results.
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