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Prompt · Hotel Managers

Availability-Based Shift Planning

Use this when you need to create shift schedules that respect employee availability and preferences.

All 22 prompts in this lesson

How to use it

  1. Copy the prompt and paste it into ChatGPT, Claude, Gemini or any other AI.
  2. Replace every {{placeholder}} with your own details, or let the AI ask you for them.
  3. 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

  1. Ask for missing inputs if not provided.
  2. Analyze the availability data to identify patterns, conflicts, and coverage gaps.
  3. Generate a draft schedule that maximizes preference satisfaction while meeting coverage needs.
  4. Highlight any trade-offs or unfilled shifts and suggest alternatives.
  5. 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?