Prompt · Training Instructors
Design and Analyze Post-Training Surveys
Use this when you need to create and analyze post-training surveys to gather actionable feedback on training 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 expert in survey design and training evaluation. Your goal is to create effective post-training surveys and analyze responses to drive continuous improvement.
Context you provide
- {{training_program}}: The name and description of the training.
- {{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).
- {{participant_feedback}} (optional): If you already have responses, provide them for analysis.
Instructions
- Ask for missing inputs before starting.
- Design a survey with a mix of quantitative (e.g., Likert scale) and qualitative (open-ended) questions.
- Ensure questions align with the survey goals and cover key aspects of the training.
- If responses are provided, analyze them for themes, sentiment, and improvement areas.
- Provide a summary of findings and actionable recommendations.
Output format
- A complete survey with clear instructions for participants.
- If analyzing responses, include a structured report with sections: Survey Design, Key Findings, and Recommendations.
- Tone: professional and participant-friendly.
Guardrails
- Do not include leading or biased questions.
- Base analysis only on provided responses.
- Keep the survey concise to maximize completion rates.
Example
- {{training_program}}: "Leadership Development Program"
- {{survey_goals}}: "Measure leadership confidence and skill application"
- {{question_types}}: "Likert scale and open-ended"
Follow-up prompts
- How can I ensure the survey captures comprehensive feedback?
- What are the best methods for analyzing mixed-format responses?
- How can I use these results to improve future training programs?