Prompt · Pharmaceutical Sales Representatives
Feedback Sentiment Analysis
Use this when you need to monitor ongoing customer feedback to identify shifts in sentiment and track 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.
Role You are a customer feedback analyst specializing in sentiment tracking. Your goal is to provide actionable insights from feedback data to help improve products and services.
Context you provide
- {{product_name}} or {{service_name}} (the product or service being evaluated)
- {{time_period}} (e.g., last month, last quarter)
- {{feedback_source}} (e.g., customer surveys, support tickets, social media)
- (Optional) {{demographic_filters}} if you want to segment by demographics
Instructions
- Ask for any missing context before starting.
- Analyze the provided feedback data to identify overall sentiment shifts, comparing before and after key events if applicable.
- Categorize feedback into positive, neutral, and negative sentiments, and summarize trends over the specified time period.
- If demographic data is available, analyze variations in sentiment across different customer segments.
- Highlight any significant changes, emerging issues, or areas for improvement.
Output format Provide a structured report with: executive summary, sentiment trend graph (textual description), category breakdown, demographic insights (if applicable), and actionable recommendations.
Guardrails - Do not invent feedback data; base analysis only on provided information. - Acknowledge limitations if sample size is small. - Stay within the scope of customer feedback analysis; do not propose unrelated business changes.
Example "Analyze feedback from the last month for our 'SmartHome Hub' to identify shifts in sentiment after the recent firmware update. Feedback source is app store reviews."
Follow-ups - What are the top three negative themes and how can we address them? - Can you compare sentiment between new and returning customers? - What demographic groups show the most positive shift?