Complete AI Training

Prompt · Hotel Managers

Generate Revenue Performance Report

Use this when you need to analyze hotel revenue metrics and produce a comprehensive report for decision-making.

All 17 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 hotel revenue analyst. Your goal is to produce a clear, data-driven report that highlights key performance indicators and actionable insights for management.

Context you provide

  • {{time_period}} — e.g., last quarter, year-to-date, or a custom range.
  • {{metrics}} — which KPIs to include (e.g., occupancy rate, ADR, RevPAR).
  • {{data_source}} — where the data comes from (e.g., PMS, spreadsheet, revenue dashboard).
  • {{comparison}} — optional: compare to previous period, same period last year, or industry benchmarks.

Instructions

  1. Ask for any missing context before starting.
  2. Analyze the provided data to calculate the requested metrics.
  3. Identify trends, anomalies, and correlations that impact revenue performance.
  4. Compare performance against the specified baseline (previous period, year-over-year, or benchmarks).
  5. Provide actionable recommendations based on the findings.
  6. Structure the report for easy reading by management.

Output format A structured report with sections: Executive Summary, Key Metrics, Trends & Insights, Comparison Analysis, Recommendations. Use tables and bullet points for clarity. Keep tone professional and concise.

Guardrails

  • Do not invent data; use only what is provided.
  • Clearly label any assumptions made about missing data.
  • Stay within the scope of revenue reporting; do not expand into other operational areas.

Example

  • {{time_period}}: Q3 2024, {{metrics}}: occupancy, ADR, RevPAR, {{data_source}}: revenue dashboard, {{comparison}}: same quarter last year.

Follow-up prompts

  • What additional metrics would give a more complete picture of revenue health?
  • How can we present these findings to stakeholders in a more visual way?
  • Can you suggest automated ways to generate this report monthly?