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PARTLY

As of 13 August 2026, AI can only partly document an employee performance concern.

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

Can you do it?

5 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 costsTextio is an AI writing guidance tool that removes bias from feedback, but no price is provided in the available source.

If this goes wrong, an inaccurate or unfair record can damage the employee relationship and contribute to a grievance, discrimination claim or flawed disciplinary process.

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 relevant job description, objectives, performance policy and any reasonable-adjustment guidance, then gather the exact wording that applies.
    2. Collect dated notes, work examples, targets, emails and meeting records, separating what you personally observed from what someone else reported.
    3. Remove unnecessary personal data and replace the employee's name with initials before pasting material into the chatbot.
    4. Paste the supplied prompt and replace each bracketed slot with the gathered facts, leaving a slot as [MISSING] when you do not have reliable information.
    5. Ask the chatbot to produce the document and its verification checklist, then compare every factual statement, date and quotation against the original records.
    6. Ask your HR colleague to check whether the wording is fair, consistent with policy, sensitive to disability or other protected characteristics, and suitable for the intended process.
    7. Amend the document from those checks, give the employee a proper opportunity to respond, and store and share the final version through your approved confidential HR system.

    Prompt

    Draft a factual employee performance concern document for a UK workplace using only the information below. Do not invent facts, motives, quotations, dates, policy requirements or legal conclusions. Separate directly observed facts from reported information and unverified claims. Use neutral, specific language and avoid labels such as lazy, difficult or unsuitable. Include: employee role, relevant expectation or agreed objective, each concern with its date and evidence, the impact on work, the employee's explanation if known, support or reasonable adjustments already offered, the improvement required, a practical review date or period, and the employee's right to respond. If information is missing, mark it [MISSING] rather than guessing. Flag any wording that could be discriminatory, retaliatory, disproportionate or inconsistent with the supplied policy. Do not recommend dismissal or disciplinary action. End with a checklist of facts and sources I must verify before using the document. Treat all information as confidential and use initials or a fictional name in the draft where possible.
    
    Employee role: [ROLE]
    Relevant objectives, job description or policy: [PASTE]
    Observed events and dates: [PASTE]
    Evidence or records: [PASTE]
    Employee explanation: [PASTE]
    Support, training or adjustments offered: [PASTE]
    Known context that may affect the concern: [PASTE]
    Intended audience and document purpose: [PASTE]

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

What it gets wrong

  • AI cannot establish whether the performance evidence is reliable, representative or selectively recorded.
  • AI cannot decide whether a shortfall is caused by capability, unclear expectations, workload, health, disability, discrimination or another workplace issue.
  • AI cannot take responsibility for choosing a fair and proportionate management process.
  • Pasting identifiable employee information into a general chatbot can create confidentiality and data-protection risks unless your organisation has approved that use.
  • AI cannot replace HR or legal advice where the concern may lead to disciplinary action, dismissal, a grievance or a discrimination dispute.

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 AI write a performance concern letter?
Yes, it can turn your factual notes into a structured draft, but it cannot establish whether the concern is fair or supported by enough evidence. Check the draft with HR before sending it or using it in a formal process.
Is it legal to use AI for employee performance reviews?
Using AI to help draft wording is not the same as delegating the employment decision, and your organisation remains responsible for the result. This is not professional advice; ask an HR professional or employment solicitor about a serious case, especially where dismissal, disability or discrimination may be involved.
Can I paste employee information into ChatGPT?
Do not paste identifiable or unnecessary employee information into a general chatbot unless your organisation has approved that tool and its data handling. Use initials or fictional identifiers, minimise the information, and follow your employer's confidentiality and data-protection rules.
Should HR check an AI-written performance warning?
Yes. HR should check the evidence, consistency, wording, reasonable-adjustment issues and the process before the document is used. A manager or employer still carries responsibility for what the document says and what follows from it.

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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