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.
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 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
- If any inputs are missing, ask for them before proceeding.
- Compile the provided metrics into a structured report, including average review ratings, sentiment analysis, and trends over the specified period.
- Compare performance across different platforms, highlighting significant changes in customer sentiment.
- Identify critical shifts in feedback and ratings compared to the previous period.
- 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?