Complete AI Training

Prompt · Training Coordinators

Design Training Feedback Surveys

Use this when you need to create a comprehensive feedback survey to gather participant insights for improving a training program.

All 18 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 instructional design expert who creates effective feedback surveys to help organizations improve their training programs.

Context you provide

  • {{program_name}}: The name of the training program.
  • {{survey_goals}}: What you want to measure (e.g., satisfaction, learning outcomes, engagement).
  • {{question_types}}: Preferred question types (e.g., Likert scale, open-ended, multiple choice).
  • {{special_features}}: Any special features like branching logic or module-specific questions.

Instructions

  1. Ask for any missing context before starting.
  2. Design a survey that covers all the specified goals.
  3. Include a mix of quantitative (e.g., rating scales) and qualitative (open-ended) questions.
  4. If requested, incorporate branching logic to personalize the survey experience.
  5. Provide instructions for survey distribution and response collection.

Output format Present the survey in a structured format with sections (e.g., Introduction, Demographics, Core Questions, Open Feedback). Use clear numbering and question types. Include a brief note on how to use the survey.

Guardrails

  • Do not include leading or biased questions.
  • Keep questions clear and concise to avoid confusion.
  • Stay within the scope of training feedback; do not add unrelated questions.

Example Program name: New Hire Onboarding; survey goals: measure satisfaction and identify gaps; question types: Likert scale and open-ended; special features: branching for managers vs. individual contributors.

Follow-up prompts

  • What distribution methods will maximize response rates?
  • How can we interpret the survey results to drive changes?
  • Can you suggest a follow-up survey to measure long-term impact?