Tips on How to Review Interviews Using AI
AI can help employers review interviews more consistently by summarising candidate answers, organising evidence against job requirements, highlighting strengths and unanswered questions, and creating structured interview notes. The final hiring decision should remain with the employer.
Why should you review job interviews using AI?
Interviews generate a lot of information. A hiring manager may leave a conversation remembering that one candidate was confident, another was particularly personable and another gave an impressive answer to one question.
Those impressions can be useful, but they should not replace a structured assessment of whether the candidate demonstrated the skills, experience and behaviours required for the role.
AI can help by organising the interview information into a consistent format, allowing the hiring team to return to the actual evidence behind each answer.
7 tips for reviewing interviews using AI
AI becomes much more useful when the interview was structured before it started and the review is based on job-related evidence rather than general impressions.
Give AI the assessment criteria before asking for a score
AI needs to know what the candidate was actually being assessed against. Provide the essential skills, experience and interview competencies before asking it to interpret the answers.
Ask AI to identify evidence rather than impressions
A useful review should explain what the candidate said that supports a conclusion rather than producing vague judgements such as “strong communicator” or “good fit”.
Use the same review framework for every candidate
If several people are being interviewed for the same job, ask AI to structure each review under the same headings.
This makes it easier for the hiring manager to compare evidence rather than comparing completely different styles of interview notes.
Ask AI what the interview did not establish
A useful interview review should identify important requirements that were not explored properly or where the candidate's answer did not provide enough evidence.
That is particularly useful before a second-stage interview, because the hiring team can turn those gaps into targeted follow-up questions.
Score individual criteria rather than the candidate as a whole
A single overall score can hide useful detail. A candidate may be very strong in technical knowledge but provide limited evidence of stakeholder management, or vice versa.
Ask AI to organise evidence by criterion first. The interviewer can then verify and assign or amend scores using the agreed scorecard.
Tell AI not to infer personality or characteristics from limited evidence
Interview notes are incomplete by nature. AI should not turn an unanswered question, short response or interviewer's wording into assumptions about the candidate's personality, motivation or ability.
Tell the AI to mark information as unclear or not established when there is insufficient evidence.
The interview may simply have failed to collect enough evidence. That distinction can be important when reviewing candidates fairly.
Use AI to support the interviewer, not replace them
The interviewer should check AI-generated summaries against their notes or transcript before relying on them.
AI may misunderstand context, place too much weight on one answer or overlook information that the interviewer considered important.
What should AI review after a job interview?
Relevant experience
What examples demonstrate experience connected with the responsibilities of the vacancy?
Skills
Which technical, professional or role-specific capabilities were demonstrated through the answers?
Interview answers
Did the candidate actually answer the question and provide relevant detail?
Results & outcomes
Did the candidate explain what happened as a result of their actions?
Problem solving
What evidence demonstrates how the candidate approached relevant problems?
Job-related behaviours
What evidence supports the competencies or behaviours defined for the job?
Unanswered questions
Which important requirements were not sufficiently explored?
Evidence to verify
Which claims or conclusions should the interviewer check before deciding?
Structured summary
What are the strongest pieces of job-related evidence from the interview?
AI interview review works better when the interview is structured first
It is difficult to compare candidates fairly if every interview explores completely different areas.
Before interviewing, define the competencies you need to assess and prepare questions that give candidates an opportunity to demonstrate relevant evidence.
Generate interview questions using AI
Use the vacancy and candidate information to prepare relevant questions before the interview takes place.
There are two ways to use AI for interview review
As with AI application review, you can either use a general-purpose AI platform with your own interview-review prompt or use recruitment software where the assessment framework is built into the workflow.
Use a general AI platform
Provide the job criteria, questions and interview notes or transcript, then ask AI to produce a structured evidence review.
Best for flexible or occasional reviews.Use an AI interview review tool
Use recruitment software with prompts and assessment structures designed specifically around interviews.
Best for a repeatable recruitment workflow.Review interviews using ChatGPT, Gemini or Claude
General AI platforms can analyse written interview notes or documents when you give them a clear assessment framework.
ChatGPT
Useful for applying a defined review framework to interview notes, summarising evidence and comparing information against job requirements.
Google Gemini
Useful when interview notes, scorecards or supporting recruitment information are held in documents that can be analysed together.
Claude
Useful for analysing longer interview notes or transcripts and producing detailed written assessments against supplied criteria.
A useful review should be based on interview notes, answers or a transcript. Asking AI to assess somebody from a few remembered impressions gives it very little reliable evidence to work with.
Best prompts for reviewing job interviews using AI
The prompt should define the vacancy, explain the criteria and tell the AI to distinguish between evidence, missing information and assumptions.
Help me review the following candidate interview against the requirements of the vacancy.
Job title: [Job title]
Main responsibilities: [Responsibilities]
Essential requirements: [Requirements]
Interview competencies: [Competencies]
Review only evidence contained within the interview notes or transcript. Do not infer personality, protected characteristics or information the candidate did not provide.
Please return:
- A concise interview summary.
- Evidence against each essential requirement.
- Evidence against each interview competency.
- Specific examples or achievements given by the candidate.
- Areas where evidence was weak, unclear or not established.
- Important follow-up questions for a second interview or reference check.
- A structured overall evidence summary for the interviewer to verify.
Do not make the final hiring decision for me.
Interview notes / transcript:
[Paste interview information here]
Organise the following interview into an evidence-based scorecard.
Use these criteria:
[Insert assessment criteria]
For each criterion provide:
- The relevant evidence given by the candidate.
- Whether the evidence was strong, partial, weak or not established.
- A short explanation based only on the candidate's answer.
- Anything that should be clarified before a decision is made.
Do not infer missing information and do not change the assessment criteria.
Interview:
[Paste interview notes here]
Review the following first-stage interview and identify important job-related areas that need further exploration.
Create up to 8 second-stage interview questions.
Prioritise:
- Essential requirements that were not fully evidenced.
- Claims that need a specific example.
- Responsibilities where the candidate's level of ownership remains unclear.
- Important achievements where the outcome was not explained.
Do not ask questions about protected or irrelevant personal information.
Job requirements:
[Insert requirements]
Interview notes:
[Paste notes]
Use a dedicated AI interview review tool
A recruitment-specific tool can remove much of the prompt setup and connect the interview assessment with the candidate and vacancy.
AI Interview Review
Career Poster's AI Interview Review tool is designed specifically for post-interview assessment, helping employers organise candidate answers and evidence using a recruitment-focused workflow.
Because the interview sits within the wider recruitment process, the review can be considered alongside the vacancy requirements, candidate application and previous hiring stages rather than existing as an isolated AI conversation.
General AI vs a dedicated AI interview review tool
General AI gives you flexibility. A dedicated recruitment tool is generally more convenient when you want interview reviews to form part of an ongoing hiring workflow.
| General AI platform | Recruitment AI tool | |
|---|---|---|
| Job criteria | You provide them manually | Can remain connected with the vacancy |
| Prompt | You create the assessment instructions | Recruitment prompts can be built in |
| Interview notes | Paste or upload manually | Can form part of the candidate workflow |
| Scorecard | You define your own format | Can be incorporated into the review process |
| Candidate history | Usually supplied separately | Can sit alongside previous recruitment stages |
| Saved assessment | Lives in the AI conversation unless copied | Can remain with the candidate record |
| Best for | Flexible occasional reviews | Repeatable recruitment workflows |
How to review a job interview using AI in 7 steps
Define the assessment criteria
Decide what evidence the interview needs to establish before conducting it.
Prepare structured questions
Give candidates a fair opportunity to demonstrate the skills and experience required.
Record useful interview notes
Capture the candidate's examples, responsibilities and outcomes rather than only the interviewer's overall impression.
Provide AI with the job context
Include the vacancy requirements, competencies and interview questions.
Ask AI to structure the evidence
Organise candidate answers against each agreed criterion.
Verify the AI review
Compare important conclusions with the original notes or transcript.
Complete the human assessment
Finalise the interview scorecard and decide whether the candidate should progress.
Can AI help compare several job interviews?
Asking AI simply to “choose the best candidate” can encourage the comparison to be driven by whichever differences happen to stand out most.
A better approach is to create the same evidence-based review for each person and then compare the resulting scorecards.
This keeps the assessment anchored to what the role requires rather than allowing one particularly impressive interview to change the standard for everybody else.
Review the interview alongside the candidate's application
Interview evidence is more useful when it can be considered alongside what the candidate originally submitted.
The application may have identified an area that needed clarification, while the interview may provide the additional evidence needed to assess it.
If you want to improve the earlier stage of the process, read How to Review Job Applications Using AI .
Should AI decide who performed best at interview?
An AI-generated score or summary is still an interpretation of the source information. The hiring manager should be able to understand why a candidate received a particular assessment and verify it against the original interview.
Information processing
- Summarising answers
- Organising evidence
- Mapping answers to criteria
- Identifying gaps
- Drafting review notes
Recruitment judgement
- Verifying the evidence
- Understanding context
- Amending scores
- Deciding who progresses
- Making the hiring decision
What should you avoid when using AI to review interviews?
Use AI before, during and after candidate interviews
AI interview review works best as part of a structured hiring workflow
Before candidates can reach interview, employers need to create the vacancy, advertise it, review applications and manage candidates through each recruitment stage.
Manage the process from vacancy to interview
Advertise across multiple job boards and manage candidate applications, interviews and recruitment activity through Career Poster.
Turn interview notes into a structured candidate assessment
Use Career Poster's AI Interview Review tool to organise candidate evidence, identify areas that need further consideration and support your human hiring decision.
AI interview review FAQs
How can AI help review a job interview?
AI can summarise candidate answers, organise interview evidence against job requirements, highlight relevant examples, identify unanswered questions and help create a structured interview scorecard for the hiring manager to verify.
Can ChatGPT review interview notes?
Yes. You can provide ChatGPT with the job criteria and interview notes and ask it to apply a structured assessment framework to the information. Important conclusions should still be checked by the interviewer.
Can Gemini analyse interview notes?
Gemini can analyse uploaded documents and other files, so interview notes and supporting recruitment information can be provided for structured analysis.
Can Claude review an interview transcript?
Claude can analyse supported uploaded documents, including text-rich formats such as PDF and DOCX, making it suitable for structured analysis of written interview notes or transcripts.
What information should I give AI before reviewing an interview?
Provide the job title, responsibilities, essential requirements, interview competencies, questions asked and the candidate's interview notes or transcript.
What is the best prompt for reviewing a job interview?
Ask AI to assess the interview against predetermined job criteria, identify the evidence supporting each criterion, mark missing information as unclear rather than guessing and highlight questions that may need further exploration.
Can AI score interview answers?
AI can help organise answers against a scoring framework, but interviewers should verify the evidence and retain control over the final score and hiring decision.
Can AI compare several candidates after interview?
Yes. A better approach is to review every interview against the same predetermined criteria first and then compare the resulting evidence-based assessments rather than simply asking AI to choose the best candidate.
Can AI identify follow-up interview questions?
Yes. AI can identify essential requirements that were not fully explored, claims that need specific examples and areas where the candidate's level of responsibility or results remain unclear.
Should AI decide who gets the job?
AI is generally more useful as a decision-support tool. Employers should verify interview evidence themselves and retain appropriate human oversight over candidate progression and final hiring decisions.
