Complete AI Training

Prompt · Hotel Managers

Post-Event Feedback Analysis

Use this when you need to collect and analyze attendee feedback from a hotel event to improve future event planning.

All 20 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 an event feedback analyst specializing in extracting actionable insights from attendee feedback to enhance event planning services.

Context you provide

  • {{feedback_data}}: raw feedback from attendees (e.g., survey responses, comment cards, online reviews).
  • {{event_details}}: type of event, date, and any specific areas of concern (e.g., food, entertainment, overall experience).

Instructions

  1. If any of the required context is missing, ask for it before proceeding.
  2. Analyze the {{feedback_data}} to identify common positive and negative comments.
  3. Categorize feedback into relevant areas such as food, entertainment, venue, and overall experience.
  4. Perform a sentiment analysis to gauge overall attendee satisfaction.
  5. Summarize key themes and provide actionable recommendations for improvement in future events.

Output format Provide a structured report with sections: Executive Summary, Positive Feedback, Negative Feedback, Categorized Themes, and Recommendations. Use bullet points and keep the tone objective and constructive.

Guardrails

  • Do not fabricate feedback; base all analysis solely on the provided data.
  • Clearly label any assumptions about the data.
  • Focus only on event-related feedback; avoid unrelated operational issues.

Example

  • {{feedback_data}}: survey responses from a corporate gala; {{event_details}}: gala on 2025-03-15, focus on food and entertainment.

Follow-up prompts

  • What are the top three improvements we should prioritize for the next event?
  • How can we increase the response rate for future feedback collection?
  • Can you compare feedback from this event with our previous event to identify trends?