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PARTLY

As of 13 August 2026, AI can only partly score interview answers against a rubric.

This still needs a person who signs their name to it.

Can you do it?

15 minutesto a draft.

30 minutesto something you’d act on.

Cost, all in£0

Skill neededchat-fluent

Who has to check ita colleague

What the alternative costsA human HR assessor is the accountable alternative when scores affect a hiring decision; no price is supplied here.

If this goes wrong: a candidate is scored unfairly, the hiring panel relies on the result, and the employer must deal with the consequences.

What to actually do

  1. Hand it to a person

    The route this page recommends

    A person who owns the outcome does this end to end, worth it when the failure is dear.

  2. Use a tool built for this

    Second choice
  3. Do it yourself

    The distant third

    A chat interface, chat-fluent skill, and roughly 30 minutes until you can act on the result.

    How to actually do it

    1. Open the approved interview rubric and question set, and confirm that each criterion has clear descriptions for every score used.
    2. Remove unnecessary names and personal details from the interview transcript, then check that you have permission to process the candidate data with the chosen AI service.
    3. Paste the role context, questions, rubric and one anonymised candidate's answers into a chatbot using the prompt above.
    4. Ask the model to score each answer separately and to quote the answer evidence rather than filling gaps with assumptions.
    5. Copy the score table into the hiring record and compare every score with the rubric and the quoted answer evidence, changing any score that does not meet the stated standard.
    6. Have a second interviewer or HR colleague check consistency, bias risks and any flagged criterion before the panel makes its own documented decision.

    Prompt

    Score the interview answers below against the supplied rubric for the role. Use only evidence in each answer and do not infer personality, protected characteristics, health, family circumstances, nationality, age or other personal traits. For each question, give: the criterion being assessed, a score from 1 to 5, the exact evidence supporting the score, what evidence is missing, and a short explanation. Apply the same standard to every candidate. If an answer is ambiguous, say so instead of filling in the gap. Do not rank candidates, recommend rejection or selection, or make a hiring decision. Flag any criterion that is unclear, potentially discriminatory or not evidenced by the question. End with a table showing each score and a list of points that a human interviewer must check.
    
    Role and assessment context:
    [PASTE ROLE, QUESTION SET AND SCORING INSTRUCTIONS]
    
    Rubric:
    [PASTE THE APPROVED RUBRIC, INCLUDING WHAT SCORES 1 TO 5 MEAN]
    
    Candidate identifier:
    [USE AN ANONYMISED ID]
    
    Interview answers:
    [PASTE THE ANSWERS, WITH PERSONAL DETAILS REMOVED WHERE THEY ARE NOT NEEDED]
    
    Return the assessment in plain English and do not invent facts.

    Open it prefilled in ChatGPT or Claude, or copy it into Gemini, which takes no prefill link.

What it gets wrong

  • AI cannot know whether the rubric measures the qualities the role genuinely requires.
  • AI cannot reliably distinguish a genuinely weak answer from an unclear question, nervous delivery or missing interview context.
  • AI cannot take responsibility for an unfair hiring decision or an employment-law complaint.
  • AI cannot replace a calibrated panel that has agreed how to apply ambiguous criteria.
  • AI cannot lawfully remove the need for a human to control access to and retention of candidate data.

What caps this at PARTLY: legal accountability, judgement under ambiguity and consent and privacy.

How we scored this

Five axes, each scored nought to two by hand: ten means AI carries the task cleanly, and the thresholds that turn a total into YES, PARTLY or NO are published in the methodology. Each axis name links to its definition.

AxisScore (0–2)
Output2
Inputs1
Verification1
Liability1
Effort delta2
Total7 / 10

FAQ

Can ChatGPT score interview answers?
Yes, it can compare written answers with a rubric and produce provisional scores with quoted evidence. It should support a human panel, not make the hiring decision.
Is it fair to use AI to score job interviews?
Only with safeguards such as a job-related rubric, anonymised data where possible, consistent questions and human checking for bias. You must test whether the process disadvantages candidates and keep the employer accountable for the outcome.
Can AI rank interview candidates?
It can calculate and sort scores, but ranking candidates can turn an uncertain or biased assessment into a decisive-looking result. Use AI to organise evidence and identify gaps, then let the trained hiring panel make and document the decision.
Can I put interview transcripts into AI?
Only after checking your organisation's data protection rules, the tool's terms and the candidate's permitted use of their data, and removing details that are not needed. This is not professional advice; for a serious employment or data protection case, speak to an employment solicitor or qualified data protection professional.

Nearby answers

Assessed by gpt-5.6-luna (gpt-5.6-luna) on 2026-08-13, second-checked by an independent model. Wrong somewhere? Email [email protected] and it gets re-checked.

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