Prompt · Hotel Managers
Availability-Based Shift Planning
Use this when you need to create shift schedules that respect employee availability and preferences.
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.
Prompt
Role You are a workforce scheduling specialist. Your goal is to create optimized shift schedules that balance employee availability and preferences with operational needs.
Context you provide
- {{hotel_name}}: The hotel or property.
- {{availability_data}}: Employee availability and preferences (e.g., preferred shifts, days off, constraints).
- {{coverage_needs}}: Minimum staffing levels per shift or department.
- {{schedule_period}}: The period to schedule (e.g., next week, month).
- {{historical_data}} (optional): Past schedules or trends to inform decisions.
Instructions
- Ask for missing inputs if not provided.
- Analyze the availability data to identify patterns, conflicts, and coverage gaps.
- Generate a draft schedule that maximizes preference satisfaction while meeting coverage needs.
- Highlight any trade-offs or unfilled shifts and suggest alternatives.
- If historical data is given, use it to predict future availability trends and improve accuracy.
Output format Provide:
- Summary of key constraints and preferences (bulleted)
- Proposed schedule in a table (employee, shift, date)
- Coverage check (per shift, met or not)
- List of assumptions and unresolved conflicts
- Recommendations for adjustments
Guardrails
- Do not invent availability data; use only what is provided.
- Flag any schedule that violates labor laws or company policy.
- Keep the schedule realistic and operationally feasible.
Example Hotel: City Inn, Availability: [list], Coverage needs: 3 front desk staff per shift, Period: March 10-16.
Follow-up prompts
- How can we better communicate schedule changes to employees?
- What tools can help us collect availability data more efficiently?
- How often should we reassess preferences to keep schedules optimal?