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Need to hire SRE or hire DevOps engineer? Prioritize production ownership skills over cloud-tool checklists.

WorkorAI Team
Before making a hiring decision, it's crucial to thoroughly review the available evidence on each candidate. This ensures that you make informed choices based on facts, not assumptions or biases. Below is a detailed outline to guide your process.
How to systematically review candidate evidence before the final hiring decision.
5 candidate evidence checks before hiring decision
This article is intended for hiring managers, recruiters, and decision-makers at companies—especially those working in tech, startups, or organizations prioritizing objective recruitment processes.
Evidence-based hiring is an approach that emphasizes making decisions grounded in data and observable behaviors rather than gut feeling or subjective impressions. Tools such as structured interviews, work sample tests, and reference checks can help in building a factual basis for each candidate.
Often, hiring stakeholders mix up assumptions (e.g., "they seem like they'll learn fast") with verified achievements (e.g., "they built a scalable API at their last job"). Make a list of clear facts about each candidate and identify notes that may reflect bias or speculation.
Technical roles demand a careful review of assessments, coding challenges, and technical interviews. Was the candidate able to solve problems efficiently? Did they demonstrate relevant knowledge? For more guidance on technical skills evaluation or to streamline your process, consider tools and services from WorkorAI.
Look for missing pieces of information: unexplained employment gaps, unclear role descriptions, or incomplete portfolios. Prepare targeted interview questions to address these areas, ensuring the hiring panel gets a full picture.
Aggregate the evidence from all sources—resumes, interviews, tests, and references. Use a scoring rubric to compare candidates fairly. Involve multiple stakeholders in the decision to avoid individual bias.
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