Position Title:
Department:
Interview Date:
Hiring Manager:
Pre-Interview Preparation
Identify 4-6 key competencies directly tied to the job description and team needs. Ensure each competency is measurable and observable during the interview process.
Write 2-3 open-ended behavioral or situational questions per competency. Ensure questions are legally compliant and avoid any protected-class inquiries.
Establish a 1-5 rating rubric with clear behavioral anchors for each score level. Distribute the rubric to all interviewers before the process begins.
Book rooms, confirm time slots, and send calendar invitations to all panelists. Include the candidate's resume and the structured question set in the invite.
Hold a short alignment meeting to walk interviewers through the scoring criteria and question assignments. Emphasize the importance of consistency and avoiding off-script questions.
Question Design and Validation
Map each interview question back to a specific job requirement or performance outcome. Remove any question that does not directly assess a required competency.
Balance the question set with 'Tell me about a time...' behavioral prompts and 'What would you do if...' situational scenarios. This captures both past behavior and problem-solving ability.
Run the question set by a diverse review panel to flag ambiguous phrasing or culturally biased assumptions. Revise any questions that could disadvantage specific candidate groups.
Provide interviewers with approved follow-up prompts such as 'Can you elaborate on the outcome?' to dig deeper without leading the candidate toward a specific answer.
Store the approved question set in your ATS or shared drive with version control. Prevent ad-hoc modifications once the interview cycle has begun.
During the Interview
Ask every candidate the same questions in the same order. This ensures comparability across candidates and reduces interviewer drift.
Record specific examples, keywords, and observable behaviors rather than subjective impressions. Notes should be detailed enough to support the scoring decision later.
Score each response right after the candidate finishes answering rather than waiting until the end. Immediate scoring reduces recency bias and halo effects.
Reserve the final 10-15 minutes for the candidate to ask their own questions. Their questions often reveal priorities, cultural fit, and depth of interest in the role.
Post-Interview Scoring and Calibration
Require each interviewer to submit their ratings and notes independently before any debrief meeting. This prevents groupthink and anchoring bias.
Walk through each competency area systematically, comparing scores and discussing discrepancies. Use evidence from notes rather than gut feelings to resolve disagreements.
When one interviewer's score differs significantly from others, ask them to share the specific behavioral evidence behind their rating. Adjust only if new evidence warrants it.
Record the calibrated score for each competency along with the hire/no-hire recommendation. Store the documentation in the candidate's ATS file for compliance and future reference.
Share aggregated insights on common strengths and gaps observed across candidates. This helps recruiters refine sourcing strategies for the current and future searches.
Compliance and Continuous Improvement
Retain interview notes, scorecards, and decision rationale for the period required by local labor laws, typically one to three years. Store documents securely with restricted access.
Run a statistical analysis on selection rates across demographic groups at least annually. If significant disparities appear, review and revise questions or scoring criteria.
Send a brief survey to panelists after each hiring cycle asking about clarity of questions, adequacy of training, and ease of the scoring tool. Use responses to iterate on the process.
Correlate interview scores with new-hire performance data after six months. Remove or revise questions that show low predictive validity for on-the-job success.
A structured interview checklist is a standardized guide that ensures every candidate is evaluated using the same set of predetermined questions and criteria. It helps to ensure consistency among all the interviewers involved. It provides an opportunity for making objective hiring decisions based on data.
Without any kind of structure, the interview process tends to be informal and inconsistent, which may result in inconsistency in evaluation and possible legal ramifications.
This checklist helps ensure that all interviewers ask the same basic questions, rate applicants using the same scale, and record answers consistently. It is essential for organizations committed to fair hiring practices and compliance with employment regulations.
The checklist begins with the preparation for interviews, which involves the development of interview questions based on the job requirements, competency mapping, and score sheet creation. The checklist also includes tips on how to conduct interviews, from meeting the candidate to question delivery, note-taking, and scoring after the interview. Additional sections include interviewer calibration, legal compliance reminders, and candidate experience best practices.
Tweak this checklist according to your own organizational skills, duties, and assessment criteria. Click on the Brief/Detailed toggle to switch between the brief checklist suitable for experienced interviewers and the more detailed checklist required for new members of the recruitment team. Download the checklist in PDF or editable form before using it in every recruitment process.
Adithyan RK is the Co-Founder and CEO of Hyring, an AI-native recruitment platform that has run over 900,000 AI interviews for companies ranging from early-stage startups to the Fortune 500. He has spent 18 years building technology businesses, starting with a digital consultancy in 2008 and a staff augmentation firm in 2017, before founding Hyring in 2022 to rebuild hiring around evidence instead of guesswork.
Expertise
Surya N is the Co-Founder and CTO of Hyring, where he architected the AI interviewing engine that has now conducted over 900,000 interviews for companies ranging from early-stage startups to the Fortune 500. A mechanical engineer who moved into artificial intelligence, he spent 6 years building AI applications inside a technology consultancy before co-founding Hyring, and wrote the first version of its AI interviewer from scratch: a system that listens, adapts its questioning in real time, and flags fraud rather than following a fixed script.
Expertise