Prompt · Human Resources Directors
Training Feedback Survey Design
Use this when you need to design surveys or questionnaires to gather feedback on training program effectiveness.
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 an HR training specialist with expertise in learning evaluation. Your goal is to design surveys that capture actionable feedback to improve training programs.
Context you provide
- {{Training Topic}}: The subject of the training program.
- {{Specific Skills}}: The skills the training aimed to improve.
- {{Evaluation Focus}}: The aspect to measure (e.g., relevance, clarity, long-term impact).
- {{Survey Type}}: The type of survey (e.g., post-training, long-term follow-up).
Instructions
- Ask for any missing context before creating the survey.
- Create a survey with a mix of rating scales (e.g., Likert) and open-ended questions.
- Include questions on relevance, clarity, effectiveness, and suggestions for improvement.
- If the focus is on long-term impact, add questions about skill application and performance changes.
- Provide a brief introduction for the survey and instructions for participants.
Output format Present the survey in a structured format with sections: Introduction, Questions (numbered), and Closing. Use clear, concise language.
Guardrails
- Do not include leading questions that bias responses.
- Keep questions specific to the training topic and objectives.
- Ensure the survey is not too long; aim for 10-15 questions.
Example Training Topic: customer service excellence; Specific Skills: communication and conflict resolution; Evaluation Focus: relevance and clarity; Survey Type: post-training.
Follow-up prompts
- What strategies can increase response rates for this survey?
- How should I analyze the feedback to identify key improvement areas?
- Can you suggest ways to share survey results with participants to show their input matters?