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As of 13 August 2026, AI can write a performance improvement plan.
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 costsNo price is supplied in the available tool data for a specialist performance-feedback product.
If this goes wrong: the plan records vague or unfair criticism, damages the working relationship and may contribute to an employment dispute.
What to actually do
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.
Use a tool built for this
Second choiceDo it yourself
The distant thirdA chat interface, chat-fluent skill, and roughly 30 minutes until you can act on the result.
How to actually do it
- Open the employee's current role description, performance policy and any relevant capability or disciplinary procedure.
- Gather dated, objective evidence of the performance issue, including agreed standards, examples, work records, prior feedback and support already offered.
- Ask the employee's manager and an HR colleague to confirm the facts, the expected standard, the proposed review period and the support or training available.
- Paste the material into the prompt under the matching headings and ask the chatbot to draft the plan without adding facts or legal conclusions.
- Compare every performance example, date, target and policy reference in the draft with the source documents, and replace each [NEEDS HUMAN INPUT] item before circulation.
- Ask the HR colleague to check that the objectives are measurable, achievable, consistent with comparable cases and appropriate in light of any known support or adjustment needs.
- Discuss the draft through the employer's normal process, give the employee an opportunity to respond, and send only the approved version.
Prompt
Draft a fair, specific performance improvement plan for a UK workplace using only the information below. Do not invent facts, dates, policies, performance data or conversations. Do not diagnose the employee, infer a protected characteristic, or state that the employee has breached employment law. Separate confirmed evidence from assumptions and mark any missing information as [NEEDS HUMAN INPUT]. Use a neutral, respectful tone and include: the performance standard or role expectation, the documented gap, specific examples and their dates if supplied, measurable improvement objectives, support and training the employer will provide, how progress will be measured, review meetings and review dates, the period covered, what the employee can do if they disagree or need support, and the possible next step if improvement is not achieved, phrased as subject to company policy and a fair process. End with a short checklist of factual, policy and fairness questions for the manager or HR colleague to answer before issuing it. Do not give legal conclusions. This is not professional advice. Role and expectations: [PASTE ROLE DESCRIPTION OR RELEVANT EXPECTATIONS] Documented performance concerns and evidence: [PASTE SPECIFIC EXAMPLES, DATES, METRICS AND PRIOR FEEDBACK] Previous support, training or adjustments offered: [PASTE DETAILS OR WRITE NONE KNOWN] Relevant company policy and process: [PASTE THE RELEVANT POLICY OR SUMMARISE IT] Proposed review period and meeting dates: [PASTE DETAILS] Other constraints or context the manager wants considered: [PASTE ONLY INFORMATION THE EMPLOYER IS ENTITLED TO USE]
Open it prefilled in ChatGPT or Claude, or copy it into Gemini, which takes no prefill link.
What it gets wrong
- AI cannot decide whether the evidence shows a genuine performance gap rather than unclear expectations, inadequate support or a management problem.
- AI cannot know whether the proposed targets and timescale are consistent with how comparable employees have been treated.
- AI cannot assess confidential personal circumstances, disability-related needs or other context unless an authorised human has considered how it should affect the process.
- AI cannot take responsibility for the meeting, the employee's response or any later employment decision.
- AI cannot replace HR or legal judgement in a serious or disputed case.
Even on a YES, the friction has a name: legal accountability, judgement under ambiguity and stakes of error.
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.
| Axis | Score (0–2) |
|---|---|
| Output | 2 |
| Inputs | 2 |
| Verification | 1 |
| Liability | 1 |
| Effort delta | 2 |
| Total | 8 / 10 |
The methodology and its thresholds are published in full.
FAQ
- Can ChatGPT write a performance improvement plan?
- Yes. It can turn documented expectations, evidence, targets, support and review arrangements into a structured draft. A manager and HR colleague must check the facts, fairness and company process before it is issued.
- Is it safe to use AI for a performance improvement plan?
- It is suitable for a first draft, not for making the underlying employment decision. Remove unnecessary personal data, check every factual statement and involve an HR professional where the case is serious, disputed or connected to possible discrimination or dismissal. This is not professional advice.
- What should be included in a performance improvement plan?
- Include the expected standard, the specific evidence of the gap, measurable objectives, support, review dates, how progress will be assessed and what may happen if improvement is not achieved. It should also explain how the employee can respond or ask for support under the relevant workplace policy.
- Can AI make a performance improvement plan legally compliant?
- No. AI can help organise a plan, but it cannot establish that the evidence, targets or process are fair and lawful in the circumstances. A serious or disputed case needs an HR professional or UK employment solicitor, and this is not professional advice.
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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