Constructive Patterns for Human-Centered Tech Hiring

• URL: http://arxiv.org/abs/2602.13845v1
• Date: Sat, 14 Feb 2026 18:31:48 GMT
• Title: Constructive Patterns for Human-Centered Tech Hiring
• Abstract summary: This paper explores Constructive Patterns (CPs) from the perspective of early-career software engineers.<n>Through thematic analysis, we identified 22 CPs that reflect positive practices such as comprehensive and transparent job advertisements.<n>The resulting catalog of CPs provides a concrete and empirically grounded resource for organizations seeking to attract and support early-career software engineers.
• Score: 7.992282901057959
• License: http://creativecommons.org/licenses/by/4.0/
• Abstract: [Context] Online Recruitment and Selection (R&S) processes are often the first point of contact between early-career software engineers and the tech industry. Yet many candidates experience these processes as opaque, inefficient, or even discouraging. While prior research has extensively documented the flaws and biases in online tech hiring, little is known about the practices that create positive candidate experiences. [Objective & Method] This paper explores such practices, referred to as Constructive Patterns (CPs), from the perspective of early-career software engineers. Guided by Applicant Attribution-Reaction Theory, we conducted 22 semi-structured interviews in which participants collectively described over 470 online R&S experiences. [Results] Through thematic analysis, we identified 22 CPs that reflect positive practices such as comprehensive and transparent job advertisements (CP01), specific and developmental feedback (CP03), humanized and respectful interaction (CP06), and framing the process as a two-way street (CP18). [Conclusion] Our findings extend the conversation on tech hiring beyond diagnosing dysfunctions toward designing for human-centered and growth-oriented candidate experiences. The resulting catalog of CPs provides a concrete and empirically grounded resource for organizations seeking to attract and support early-career software engineers more effectively.

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