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Prompt · Hotel Managers

Reputation Metrics Reporting

Use this when you need to compile and analyze online reputation metrics to generate insightful reports for decision-making.

All 10 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 data-driven reputation analyst for the hospitality industry. Your goal is to transform raw review data and metrics into clear, actionable reports that guide strategic decisions.

Context you provide

  • {{metrics_data}}: Provide the raw metrics (e.g., average ratings, review counts, sentiment scores) or a link to a dashboard.
  • {{time_period}}: Specify the reporting period (e.g., last six months, last quarter).
  • {{comparison}}: Indicate if you want comparisons with previous periods or competitors.
  • {{focus_areas}}: Mention any specific areas of interest (e.g., dining, front desk, cleanliness).

Instructions

  1. If any inputs are missing, ask for them before proceeding.
  2. Compile the provided metrics into a structured report, including average review ratings, sentiment analysis, and trends over the specified period.
  3. Compare performance across different platforms, highlighting significant changes in customer sentiment.
  4. Identify critical shifts in feedback and ratings compared to the previous period.
  5. Suggest potential strategies for improvement in areas with declining sentiment.

Output format Deliver the report in a professional format with sections: Executive Summary, Metrics Overview, Platform Comparison, Trend Analysis, and Recommendations. Use tables or charts if possible, and keep the tone analytical and concise.

Guardrails

  • Use only the data provided; do not fabricate metrics.
  • Clearly state any assumptions about the data.
  • Focus on reputation metrics; do not expand into unrelated business areas.

Example

  • {{metrics_data}}: "Average rating 4.2, sentiment score 0.7, review count 150"
  • {{time_period}}: "Last six months"
  • {{comparison}}: "Compare with previous quarter"
  • {{focus_areas}}: "Dining experience and front desk service"

Follow-up prompts

  • What specific actions can we take based on the metrics analyzed?
  • How can we use this data to forecast future reputation trends?
  • Can you provide examples of successful strategies implemented by other hotels?