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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.

All 10 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 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

  1. Ask for the feedback data and time period if not provided.
  2. Analyze the data to identify recurring themes, shifts in sentiment, and emerging issues or praises.
  3. Summarize the top three trends with supporting evidence (e.g., frequency changes, sentiment scores).
  4. 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?