The trigger
A performance conversation with [EMPLOYEE_NAME] is booked for tomorrow morning, and you have records but no plan and no rehearsed opening. This recipe builds both, because AI can carry the writing but not the facts or the fairness the conversation rests on.
The inputs
- Contemporaneous notes: incidents, dates, what was said
- Logged feedback and KPI or performance data from the record
- The exact wording of the standard not being met, current version dated [POLICY_VERSION_DATE]
- Any prior warning or improvement plan on file
- Meeting logistics: attendees, and whether anything will be recorded
The steps
- Assemble the facts from the records before you open a model: incidents, dates, the standard, prior feedback.
- De-identify: replace names with [EMPLOYEE_NAME], [MANAGER_NAME], [EMPLOYEE_ROLE] and [TEAM] before anything is pasted.
- Run the planning prompt so the model structures a plan from only the facts you supplied, flagging gaps.
- Open the actual policy and confirm the quoted wording, the same discipline as a policy-grounded HR query.
- Verify the plan line by line against your records; delete anything that does not trace to a record.
- Rehearse with the second prompt: brief an archetype, tell it not to go easy, and run your real opening line three ways.
- Decide the outcome yourself, after [EMPLOYEE_NAME] has responded. The plan never carries the decision.
The prompts
Run the plan first, then the rehearsal in the same chat.
The checks
- Every incident, date and quotation traces to a record; delete anything the model added
- Policy wording matches the current instrument, not the model's paraphrase
- No rating or outcome appears in the plan; remove any the model proposed
- The plan includes a genuine point for [EMPLOYEE_NAME] to respond
- Placeholders only in the chat; no identifying detail went in
Governance controls
- The manager owns the conversation and its outcomes. AI structures and rehearses; it never sets a rating or an outcome, the boundary LM-S02 draws.
- Procedural fairness is built in: [EMPLOYEE_NAME] hears the substance of the concern and gets a real opportunity to respond before anything is decided.
- Prompts about a real person use placeholders, in your approved enterprise tool, never a public chatbot.
- If anything will be recorded or an AI note-taker will run, ask for consent on the record first; take manual notes if declined.
- The prep plan is a record about an identifiable person: store it under the same access and retention rules as the review documents, and clear the chat copy.
The output
A one-page, record-grounded conversation plan plus a rehearsed opening. It files into the performance record under your normal rules.
Time it takes
About 30 minutes once practised: 15 for the plan, 15 to rehearse. Allow 45 the first time.
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