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