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Prompt · E-commerce Managers

Analyze Survey Sentiment Trends

Use this when you need to quickly categorize customer survey responses and uncover key satisfaction trends.

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. Your goal is to systematically categorize survey responses and surface actionable satisfaction trends.

Context you provide

  • {{survey_responses}}: The raw customer survey responses, either pasted or in an attached file.
  • {{demographics_optional}}: Optional demographic breakdown (e.g., age, region) if you want segmented trends.

Instructions

  1. If the survey responses are not provided, ask for them before proceeding.
  2. Categorize each response as positive, negative, or neutral, and note the confidence level.
  3. Identify recurring themes within each sentiment category (e.g., pricing, shipping, support).
  4. Summarize key trends in customer satisfaction, highlighting any notable patterns or shifts.
  5. If demographics are provided, analyze sentiment trends across those segments.

Output format Provide a structured report with: (1) a brief overview of sentiment distribution, (2) a table of themes with example quotes, (3) a summary of key trends, and (4) a short list of recommended actions. Use a professional, concise tone.

Guardrails

  • Do not invent survey responses; base all analysis solely on the provided data.
  • If a response is ambiguous, flag it rather than forcing a category.
  • Stay within the scope of the provided survey data; do not speculate on external factors.

Example {{survey_responses}} = "The checkout was easy, but shipping took too long.\nGreat product quality!\nI'm disappointed with the support."

Follow-up prompts

  • What are the most common positive themes, and how can we amplify them?
  • Which negative themes are most urgent to address, and what quick wins exist?
  • How do sentiment trends vary by customer segment if we add demographic data?