Towards Evidence-Based Tech Hiring Pipelines
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arXiv
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| Hauptverfasser: | , |
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| Format: | Preprint |
| Veröffentlicht: |
2025
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| _version_ | 1866909572072996864 |
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| author | Brown, Chris Vaishampayan, Swanand |
| author_facet | Brown, Chris Vaishampayan, Swanand |
| contents | Software engineers are responsible for developing, maintaining, and innovating software. To hire software engineers, organizations employ a tech hiring pipeline. This process typically consists of a series of steps to evaluate the extent to which applicants meet job requirements and can effectively contribute to a development team -- such as resume screenings and technical interviews. However, research highlights substantial flaws with current tech hiring practices -- such as bias from stress-inducing assessments. As the landscape of software engineering (SE) is dramatically changing, assessing the technical proficiency and abilities of software engineers is an increasingly crucial task to meet technological needs and demands. In this paper, we outline challenges in current hiring practices and present future directions to promote fair and evidence-based evaluations in tech hiring pipelines. Our vision aims to enhance outcomes for candidates and assessments for employers to enhance the workforce in the tech industry. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2504_06387 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Towards Evidence-Based Tech Hiring Pipelines Brown, Chris Vaishampayan, Swanand Software Engineering Software engineers are responsible for developing, maintaining, and innovating software. To hire software engineers, organizations employ a tech hiring pipeline. This process typically consists of a series of steps to evaluate the extent to which applicants meet job requirements and can effectively contribute to a development team -- such as resume screenings and technical interviews. However, research highlights substantial flaws with current tech hiring practices -- such as bias from stress-inducing assessments. As the landscape of software engineering (SE) is dramatically changing, assessing the technical proficiency and abilities of software engineers is an increasingly crucial task to meet technological needs and demands. In this paper, we outline challenges in current hiring practices and present future directions to promote fair and evidence-based evaluations in tech hiring pipelines. Our vision aims to enhance outcomes for candidates and assessments for employers to enhance the workforce in the tech industry. |
| title | Towards Evidence-Based Tech Hiring Pipelines |
| topic | Software Engineering |
| url | https://arxiv.org/abs/2504.06387 |