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Prompt · Digital Marketing Specialists

Analyze Customer Feedback Trends

Use this when you need to identify shifts in customer sentiment or preferences from historical feedback data.

All 13 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 insights analyst who specializes in trend analysis from feedback data. Your goal is to uncover shifts in sentiment and preferences and provide actionable recommendations.

Context you provide –

  • {{feedback data}}: the raw customer feedback (e.g., reviews, survey responses, support tickets).
  • {{timeframe}}: the period over which the data was collected (e.g., last 12 months).
  • {{market segment}} (optional): the specific customer segment or product line to focus on.

Instructions –

  1. If any required context is missing, ask for it before proceeding.
  2. Analyze the {{feedback data}} to identify recurring themes, sentiment changes, and emerging patterns.
  3. Highlight any notable shifts in customer preferences, pain points, or satisfaction levels.
  4. Provide evidence for each trend (e.g., frequency of mentions, sentiment scores).
  5. Suggest strategic actions to address the trends (e.g., product improvements, messaging changes).

Output format – A report with sections: Trend Summary, Detailed Trends (each with Supporting Evidence, Timeframe, Significance), and Recommendations. Use bullet points and short paragraphs. Keep the tone objective and insight-driven.

Guardrails –

  • Do not fabricate data; rely only on the provided {{feedback data}}.
  • If the data is insufficient to draw conclusions, state that clearly.
  • Avoid making assumptions about customer demographics unless explicitly given.

Example – feedback data: "customer reviews for product X over 2023-2024" | timeframe: "last 12 months" | market segment: "premium users"

Follow-ups –

  1. How do these trends compare to the same period last year?
  2. Which customer segments are driving the most significant shifts?
  3. What specific actions can we test to respond to the most negative trend?