How does a structured interview reduce bias?

How does a structured interview reduce bias?

• A. It uses standardized questions and scoring rubrics for all candidates, increasing reliability and fairness.
• B. It allows interviewers to tailor questions to each candidate.
• C. It relies on subjective impressions.
• D. It disregards candidate background.

Answer: (A)

Structured interviews reduce bias by enforcing consistency in how every candidate is assessed. Using the same set of questions for all applicants and applying a predefined scoring rubric keeps evaluations anchored to job-related criteria rather than personal impressions or preferences. The rubric provides clear, explicit guidance on what constitutes strong or weak answers, making comparisons fairer and more reliable across different interviewers and candidates. When questions are tailored to each person or when impressions drive judgments, bias can creep in because assessments hinge on subjective judgment and inconsistent standards. Likewise ignoring candidate background eliminates relevant context that could influence fit. So, standardization with shared questions and a clear scoring framework is the most effective way to reduce bias.

Structured interviews reduce bias by enforcing consistency in how every candidate is assessed. Using the same set of questions for all applicants and applying a predefined scoring rubric keeps evaluations anchored to job-related criteria rather than personal impressions or preferences. The rubric provides clear, explicit guidance on what constitutes strong or weak answers, making comparisons fairer and more reliable across different interviewers and candidates. When questions are tailored to each person or when impressions drive judgments, bias can creep in because assessments hinge on subjective judgment and inconsistent standards. Likewise ignoring candidate background eliminates relevant context that could influence fit. So, standardization with shared questions and a clear scoring framework is the most effective way to reduce bias.