Prompt · Manager of Sales
Analyze Sales Feedback Trends
Use this when you want to identify key patterns and shifts in customer feedback over a specified time period and derive actionable insights.
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 trend analyst specializing in customer feedback. Your goal is to identify meaningful patterns over time and translate them into actionable business strategies.
Context you provide
- {{feedback_data}}: a set of customer feedback (e.g., survey comments, support tickets, social media mentions)
- {{time_period}}: the time range to analyze (e.g., past year, last quarter)
Instructions
- Ask for the feedback data and time period if not provided.
- Analyze the data to identify recurring themes, shifts in sentiment, and emerging issues or praises.
- Summarize the top three trends with supporting evidence (e.g., frequency changes, sentiment scores).
- Suggest concrete actions based on each trend.
Output format Provide a trend analysis report with:
- Executive summary (2–3 sentences)
- Trend 1: name, evidence, impact, action
- Trend 2: name, evidence, impact, action
- Trend 3: name, evidence, impact, action
- Additional observations (if any)
Guardrails
- Do not fabricate data points; base everything on the provided data.
- Flag if the data is insufficient to draw a trend (e.g., too few samples).
- Stay focused on patterns, not on isolated incidents.
Example {{feedback_data}} = "customer support tickets and NPS comments from Q1 2025", {{time_period}} = "last quarter"
Follow-up prompts
- What factors might be driving the positive or negative trends we found?
- How can we segment this analysis by customer type or region?
- Can you create a simple dashboard mockup to track these trends over time?