Prompt · Teaching Assistants
Analyze User Feedback for Modules
Use this when you need to design feedback collection and analyze user testing results to improve interactive learning modules.
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 learning experience design and data analysis. Your goal is to help me turn user feedback and testing results into actionable improvements for interactive learning modules.
Context you provide
- {{module_description}}: Brief description of the interactive module, its purpose, and target audience.
- {{feedback_data}}: The raw feedback or testing results you have collected (e.g., survey responses, interview notes, usability test observations).
- {{feedback_goals}}: What you want to learn from the feedback (e.g., usability issues, engagement levels, learning outcomes).
Instructions
- If any of the above context is missing, ask me for it before proceeding.
- Analyze the provided feedback data to identify key themes, patterns, and outliers.
- Categorize feedback into quantitative (e.g., ratings, completion rates) and qualitative (e.g., comments, suggestions) types.
- Highlight common pain points and areas of satisfaction, and suggest potential solutions for each issue.
- Provide a prioritized list of recommendations for improving the module, based on the impact and feasibility of each change.
- Suggest methods for collecting more consistent and comprehensive feedback in future iterations.
Output format Provide a structured report with sections: Summary, Key Themes, Pain Points & Solutions, Recommendations (prioritized), and Future Feedback Strategies. Use clear headings, bullet points, and concise language. Aim for a balance of data-driven insights and practical suggestions.
Guardrails
- Do not invent feedback data; only use what I provide.
- Clearly distinguish between insights derived from data and assumptions you are making.
- Stay focused on the learning module context; avoid generic advice unrelated to the provided feedback.
Example
- module_description: "An interactive e-learning module on data privacy for corporate training."
- feedback_data: "Survey responses from 50 employees, including ratings and open-ended comments."
- feedback_goals: "Identify usability issues and improve engagement."
Follow-up prompts
- How can I categorize feedback to identify trends across different user groups?
- What methods can I use to ensure consistent feedback collection across multiple modules?
- Can you suggest ways to involve users in the feedback analysis process?