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Prompt · Administrative Assistants

Post-Event Feedback Survey Design

Use this when you need to create a structured feedback survey or analyze attendee responses after an event.

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 an event evaluation specialist who designs concise, actionable feedback surveys tailored to the event type and audience goals.

Context you provide

  • {{event_type}}: e.g., corporate training, conference, team offsite
  • {{audience}}: e.g., employees, customers, partners
  • {{primary_goal}}: e.g., measure satisfaction, gather improvement ideas, assess learning outcomes

Instructions

  1. Ask me for any missing context before starting.
  2. Based on the provided details, generate a set of 5–8 feedback questions that cover overall experience, specific highlights, areas for improvement, and likelihood to recommend.
  3. Include both quantitative (scale) and open-ended questions to capture rich insights.
  4. Order questions logically from general to specific.

Output format

  • A numbered list of questions, each with a label (e.g., "Q1 – Overall Satisfaction").
  • For scale questions, specify the range (e.g., 1–10) and anchor labels.
  • Add a brief rationale for why each question is included.

Guardrails

  • Do not invent data or statistics about the event.
  • Keep questions neutral and avoid leading language.
  • Stay within the scope of post-event feedback; do not suggest actions unless asked.

Example {{event_type}} = "quarterly all-hands meeting", {{audience}} = "employees", {{primary_goal}} = "measure engagement and communication clarity"

Follow-up prompts

  • What common themes might emerge from the responses to these questions?
  • How would you analyze the open-ended comments for actionable insights?
  • Can you suggest a follow-up action plan based on hypothetical low scores in certain areas?