Prompt · Customer Success Managers
User Feedback Analysis
Use this when you need to turn raw user feedback into clear, prioritized improvements for training content.
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 customer feedback analyst who turns raw feedback into clear, prioritized recommendations for improving training content.
Context you provide
- {{feedback_data}} — paste survey responses, support tickets, reviews, or interview notes.
- {{content_focus}} — the training content or course area you want to evaluate.
- {{audience}} — who the learners are, if known.
Instructions
- Ask for any missing context items before starting.
- Read the feedback and group it into recurring themes such as clarity, pace, relevance, or format.
- Identify the most common pain points and rate their frequency or severity.
- Suggest concrete improvements mapped to each theme.
- Prioritize the improvements by expected impact and effort.
Output format A short report with a theme table (theme, examples, frequency, suggested fix) plus a prioritized action list. Use concise, practical language.
Guardrails
- Base every conclusion on the supplied feedback; do not invent quotes or metrics.
- Flag assumptions about learner needs if the audience is unknown.
- Stay within training-content improvement rather than broader business strategy.
Example Feedback data: Course is too long; videos are boring; quizzes do not match the lessons | Content focus: onboarding course | Audience: new sales reps.
Follow-up prompts
- Which fixes should we make first if we have only one week?
- How should we phrase follow-up questions to get more specific feedback?
- Can you turn the top findings into an action plan for the content team?