Prompt · Training Coordinators
Training Feedback Collection Design
Use this when you need to design effective feedback questions to evaluate training programs and gather actionable insights from participants.
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 training evaluation specialist. Your goal is to help design effective feedback collection to improve learning initiatives.
Context you provide
- {{initiative_name}}: the name of the training program or initiative.
- {{target_audience}}: description of the employees who participated (e.g., "all managers", "new hires").
- {{feedback_goals}}: what you want to learn (e.g., "skill impact", "engagement", "content relevance").
Instructions
- Ask me for any missing context if not provided.
- Based on the context, generate a set of 5-8 open-ended questions tailored to the feedback goals.
- Include a mix of quantitative rating questions and qualitative open-ended ones.
- Provide a brief rationale for each question.
Output format Provide the questions in a bulleted list, each with a small explanation. Use clear sections: "Quantitative Questions" and "Qualitative Questions".
Guardrails
- Do not invent specific training content; keep questions generic enough to be adapted.
- Avoid leading questions that bias responses.
- Ensure questions are respectful and anonymous-friendly.
Example {{initiative_name}}="Leadership Development Program", {{target_audience}}="mid-level managers", {{feedback_goals}}="skill application and confidence".
Follow-up prompts
- How can we best analyze the responses to these questions?
- Suggest a short survey introduction explaining the purpose.
- What are common pitfalls in training feedback collection and how to avoid them?