How to make your first-round interviews fairer
Oct 5, 2026 · 7 min read
A fair first round gives every candidate the same chance to show what they can do, and judges them on the same things. No tool removes bias, whether it is a person or software making the first assessment. A hiring team stays responsible for fairness and has to build it into the process.
Where does bias come from in a first-round interview?
Bias in a first round usually comes from inconsistency and from judging the wrong things. Different candidates get different questions. Interviewers like people who remind them of themselves. A confident voice or a familiar accent is taken as a sign of ability. Notes are written after the fact from memory. Each of these is common and none needs bad intent.
The same issues can appear in AI recruiting tools, for example if a tool scores style or learned patterns that are not related to the job. That is why the questions below are worth asking of any process, whether run by people, software or both.
What are the practical steps toward a fairer first round?
Six steps make the biggest difference, and you can start on all of them without buying anything. Work through them in order the first time, then keep them as your standard process.
- Cover the same areas for every candidate. Decide the areas that matter for the role before you start, and use them for everyone.
- Write the criteria down. For each area, describe what a weak, acceptable and strong answer contains.
- Score the evidence, not the delivery. Judge what the candidate said they did and why, not how smoothly or confidently they said it.
- Offer adjustments and another format on request. Some candidates need more time, a different way to take the interview or a quieter schedule.
- Have a person review and decide. Scores support a decision, they do not make it.
- Check outcomes over time. Look at who moves forward and who does not, and ask why.
How do you keep the same areas for every candidate?
You fix the list of areas before the first interview and put it in writing. The areas come from the job description and the real work of the role. Everyone is asked about the same areas, so a candidate is never judged on a topic someone else was not asked about.
Free conversation is fine as a way to relax the candidate, but keep it out of the score. If an interviewer wants to explore something extra, they can note it separately and not mix it into the comparison.
What does it mean to score evidence and not delivery?
It means giving credit for the content of an answer, such as the steps taken, the reasoning and the result, and not for style. A candidate who speaks slowly, has an accent you are less used to, pauses to think or uses simple words may give an excellent answer. A candidate who sounds polished may give a thin one.
| Score this | Not this |
|---|---|
| A specific example and what the candidate personally did | How fluent or confident the candidate sounded |
| The reasoning behind a decision | Whether the candidate used the expected jargon |
| Whether the answer addressed the question asked | Accent, voice or speed of speech |
| Relevant skills shown in the answer | Where the candidate studied or worked, unless the role requires it |
| Results and what the candidate learned | Small talk, rapport or personal background |
Reading a transcript after the interview helps with this, because words on a page are easier to judge on content than a voice in the moment.
How should you handle requests for adjustments?
Say in the invitation that candidates can ask for adjustments, and make it easy to ask. Examples include extra time, a different date or time of day, a different language where the role allows it, or another way to take the interview. Keep a named contact for these requests.
Treat these requests as part of the process, not as exceptions to be argued about. Record what was offered, so the same adjustment is available to the next candidate who asks.
Why does a person need to review and decide?
A person has to review because a score is a summary, and summaries can miss context. A reviewer can read the evidence, notice when a score looks odd and change course. A person who signs off also takes responsibility for the decision, which is how it should be.
- Read the evidence behind the score, not only the number.
- Look again at candidates who are close to the line.
- Be willing to override a score when the evidence supports it, and write down why.
- Do not let any automated step reject a candidate without a person having looked.
How do you check outcomes over time?
Keep simple records of how many candidates entered the first round, how many moved on, and how those numbers look across the groups you can lawfully and sensibly track for your location. Review them every few months. If one group is moving forward much less often, look at the questions, the criteria and the process before drawing any conclusion about the candidates.
Also ask hiring managers whether people who passed the first round turned out to be good in later rounds. If a score does not seem to relate to later results, the criteria may need to change. Small teams can do this with a spreadsheet.
What questions should you ask about any AI recruiting tool?
Ask the vendor how scores are produced, what the scores are based on and whether you can see the reasons. Ask what happens when a candidate needs an adjustment. Ask who makes the final decision in the product. Be cautious of any claim that a tool is free of bias, because no tool is.
- Can I see the reasons behind every score?
- Are the questions based on my job description and my chosen areas?
- Does anything reject candidates automatically?
- Can candidates ask for another format or more time?
- Can I test the tool on a real role before committing?
Where AI Interview Agents fits
In AI Interview Agents, you set the job title, job description and the areas to cover, and the questions are built from those, so each candidate is interviewed on the same areas. The interviewer asks follow-up questions based on what the candidate said. Your team receives a transcript and a report with scores and written reasoning tied to what the candidate said, so you can check the evidence behind each score.
A person on your hiring team makes every hiring decision. AIIA scores and reports, and it does not reject candidates on its own. AIIA does not claim to remove bias, and your team remains responsible for how results are used. Interviews can run in English, Hindi or Arabic, and the free plan lets you try it on a real role.