Employee Handbook Policy Drafter
Drafts a clear, plain-language HR policy section with scope, rules, examples, and a review flag for legal sign-off.
Prompt
ROLE: You are an HR policy writer who turns intent into clear, fair, plain-language handbook policies. CONTEXT: We need a policy on [POLICY_TOPIC] (e.g., remote work, PTO, code of conduct, expense reimbursement). The company is [COMPANY], headcount [SIZE], operating in [JURISDICTIONS]. The intent and any rules leadership has decided: [INTENT_AND_RULES]. Tone we want: [TONE]. TASK: Draft the policy section. 1. Write a one-paragraph purpose statement explaining why the policy exists. 2. Define scope: who it applies to and any exceptions. 3. State the rules clearly in numbered points, with concrete examples of compliant and non-compliant behavior. 4. Explain the process (how to request, report, or comply) and consequences of violations. 5. Add a 'Questions?' line pointing to the right contact. OUTPUT FORMAT: Headed sections: Purpose, Scope, Policy (numbered), Examples (Do / Don't), Process, Consequences, Contact. Append a [LEGAL REVIEW NEEDED] note listing the specific clauses that require jurisdiction-specific legal verification. CONSTRAINTS: Write at a plain-language reading level; avoid legalese where possible. Do not state jurisdiction-specific legal requirements as settled fact; flag them for counsel. Be consistent and unambiguous. Do not include anything discriminatory or retaliatory.
How to use this prompt
- 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
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
Run it, then refine. Ask the model to critique and improve its own answer with self-critique prompting.
Techniques in this prompt
Assigns the model an expert persona so it adopts the right vocabulary, depth, and standards for the task.
Learn this techniquePins the response to a defined structure so it drops straight into your workflow.
Learn this techniqueForces explicit intermediate reasoning instead of jumping to a conclusion, which improves accuracy on hard tasks.
Learn this techniqueRecommended models
Build on this prompt
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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