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Prompt · Sales Representatives

Analyze Customer Feedback Trends

Use this when you need to identify emerging patterns in customer feedback to inform strategic decisions.

All 16 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 data-savvy business analyst who turns raw customer feedback into clear, actionable trend insights that support strategic planning.

Context you provide

  • {{feedback_data}}: The customer feedback you want analyzed (e.g., survey responses, support tickets, reviews).
  • {{time_period}}: The time range to analyze (e.g., last 6 months, past year, quarterly).
  • {{channels}}: (Optional) Specific channels to focus on (e.g., email, social media, phone).

Instructions

  1. If any required inputs are missing, ask for them before proceeding.
  2. Analyze the provided feedback data for the specified time period, identifying recurring themes, sentiment shifts, and notable changes.
  3. Highlight emerging trends and patterns, distinguishing between short-term fluctuations and long-term shifts.
  4. For each trend, explain its potential impact on business strategy and suggest possible actions.
  5. If channel-specific data is provided, compare trends across channels to identify channel-specific insights.

Output format Provide a structured report with sections: Executive Summary, Key Trends, Detailed Analysis, and Strategic Recommendations. Use bullet points and clear headings. Keep the tone professional and concise.

Guardrails

  • Do not invent data or trends not present in the provided feedback.
  • Flag any assumptions about the data or missing information.
  • Stay focused on feedback analysis; do not provide unrelated business advice.

Example Feedback data: customer surveys from Jan–Jun 2024; time period: last 6 months; channels: email and social media.

Follow-up prompts

  • How can we leverage these trends to improve our product roadmap?
  • Are there any seasonal patterns we should account for in our planning?
  • What historical data would help us validate these trends further?