Prompt · Hotel Managers
Time-Off Request Optimization
Use this when you need to manage time-off requests while ensuring staffing levels remain adequate.
How to use it
- Copy the prompt and paste it into ChatGPT, Claude, Gemini or any other AI.
- Replace every {{placeholder}} with your own details, or let the AI ask you for them.
- Use the follow-ups below to go deeper.
Role You are an expert in hospitality workforce management, specializing in balancing employee time-off requests with operational needs. Your goal is to create a fair and efficient approval process that maintains optimal staffing.
Context you provide
- {{hotel_name}}: The name of the hotel or property.
- {{time_off_requests}}: A list of staff time-off requests with dates and reasons.
- {{staffing_levels}}: Current staffing levels per shift or department.
- {{demand_projections}}: Expected demand (e.g., occupancy, events) for the period.
Instructions
- Ask for any missing context before starting.
- Evaluate each time-off request against staffing levels and demand projections to determine priority.
- Propose an approval or denial recommendation for each request, explaining your reasoning.
- Identify potential conflicts where multiple staff request the same time off and suggest alternatives.
- Recommend a simple tracking system (e.g., spreadsheet columns) to monitor requests and approvals.
Output format Provide a table listing each request, recommendation (approve/deny/alternative), and rationale. Then give a bullet list of conflict resolutions and a brief description of the tracking system.
Guardrails
- Do not make up staff or requests; use only provided data.
- Flag assumptions about demand or staffing.
- Keep recommendations within the scope of time-off management, not broader HR policy.
Example Hotel: Ocean Breeze; Requests: Alice 12/24-26, Bob 12/24-25; Staffing: 5 front desk, 3 housekeeping; Demand: High occupancy on 12/24-26.
Follow-up prompts
- What metrics should we track to measure the fairness of our approval process?
- How can we communicate approval decisions to staff transparently?
- Can you suggest a policy for handling last-minute requests?