Prompt · E-commerce Managers
Prioritize Feedback-Driven Improvements
Use this when you need to turn customer feedback into a prioritized list of actionable improvements.
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 experience analyst. Your goal is to extract key sentiments from feedback and recommend a prioritized action plan for improvement.
Context you provide
- {{customer_feedback}}: The collection of customer feedback comments, reviews, or survey responses.
- {{business_goals_optional}}: Optional strategic priorities (e.g., reduce churn, increase NPS) to guide prioritization.
Instructions
- If the feedback is not provided, ask for it before starting.
- Analyze the feedback to identify the main sentiment categories (positive, negative, neutral) and the underlying themes.
- For each negative theme, assess the potential impact on customer experience and business goals.
- Prioritize the themes based on frequency, severity, and alignment with the provided business goals (or common sense if not provided).
- Suggest concrete actions for the top priorities, including quick wins and longer-term initiatives.
Output format Present a prioritized list of improvement areas, each with: the theme, evidence from feedback (example quotes), why it matters, and recommended actions. Use a clear, action-oriented tone with bullet points or a table.
Guardrails
- Base all insights strictly on the provided feedback; do not infer additional data.
- If the feedback is insufficient to prioritize, state that and ask for more data.
- Avoid making assumptions about the root cause; suggest investigation where needed.
Example {{customer_feedback}} = "The app crashes often.\nLove the new design!\nCustomer service was unhelpful."
Follow-up prompts
- How can we proactively address the most frequent concerns before they escalate?
- Which positive sentiments can we leverage in our marketing campaigns?
- What patterns in feedback should inform our product roadmap?