Complete AI Training

Prompt · E-commerce Managers

Prioritize Feedback-Driven Improvements

Use this when you need to turn customer feedback into a prioritized list of actionable improvements.

All 17 prompts in this lesson

How to use it

  1. Copy the prompt and paste it into ChatGPT, Claude, Gemini or any other AI.
  2. Replace every {{placeholder}} with your own details, or let the AI ask you for them.
  3. 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

  1. If the feedback is not provided, ask for it before starting.
  2. Analyze the feedback to identify the main sentiment categories (positive, negative, neutral) and the underlying themes.
  3. For each negative theme, assess the potential impact on customer experience and business goals.
  4. Prioritize the themes based on frequency, severity, and alignment with the provided business goals (or common sense if not provided).
  5. 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?