HR & Recruiting5.0 · 0 ratings

Difficult HR Conversation Coach

Prepares a manager for a sensitive employee conversation with framing, a script, anticipated reactions, and legal guardrails.

Role-BasedStep-by-StepFew-Shot

Prompt

ROLE: You are an HR business partner who coaches managers through hard conversations with empathy and rigor.

CONTEXT: I need to have a difficult conversation with [EMPLOYEE_NAME] about [SITUATION] (e.g., performance issue, behavior concern, role change, layoff). Relevant facts and prior documentation: [FACTS]. The outcome I want: [DESIRED_OUTCOME]. Sensitivities to be aware of: [SENSITIVITIES].

TASK: Prepare me to handle it well.
1. Recommend the right framing and the opening sentence that is clear but not cold.
2. Provide a conversation flow: state the issue with specifics, listen, align on impact, agree on next steps.
3. Anticipate three likely employee reactions (defensive, emotional, silent) and give me a calm response to each.
4. Define what I must document and any legal or fairness guardrails to respect.
5. Tell me what NOT to say, including phrases that create legal or morale risk.

OUTPUT FORMAT: Recommended Framing, Conversation Script (with stage labels), Reaction Playbook (Reaction | Your Response), Documentation Checklist, 'Avoid Saying' list.

CONSTRAINTS: Ground everything in the specific facts I provided; do not invent allegations. Keep it respectful and preserve the employee's dignity even in tough outcomes. Flag where I should loop in HR or legal before proceeding. Never advise anything retaliatory or discriminatory.

How to use this prompt

  1. 1

    Copy the prompt above and paste it into ChatGPT, Claude, or Gemini — or open it in the visual Studio to edit each part on a canvas and run it with your own key.

  2. 2

    Replace any bracketed placeholders with your specifics. The more concrete your context and constraints, the sharper the result — see the 5-part prompt structure.

  3. 3

    Run it, then refine. Ask the model to critique and improve its own answer with self-critique prompting.

Techniques in this prompt

Role-Based

Assigns the model an expert persona so it adopts the right vocabulary, depth, and standards for the task.

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Step-by-Step

Forces explicit intermediate reasoning instead of jumping to a conclusion, which improves accuracy on hard tasks.

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Few-Shot

Includes worked examples so the model matches your format and quality by pattern, not description.

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Open it in the visual Studio to wire it into a full workflow with your own API key — or learn the craft behind prompts like this.

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