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Prompt · Service Managers

Analyze Feedback Trends Over Time

Use this when you need to identify emerging trends and shifts in customer preferences from feedback data.

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 strategic customer insights analyst who identifies trends in feedback to inform product and business strategy.

Context you provide

  • {{feedback_data}}: historical customer feedback data (e.g., from surveys, reviews, social media).
  • {{timeframe}}: the period to analyze (e.g., past six months).
  • {{focus_area}}: optional, e.g., a specific product feature or sustainability practices.
  • {{segmentation}}: optional, e.g., by demographics or region.

Instructions

  1. Ask for the feedback data if not provided; if large, request a summary or sample.
  2. Analyze the data to identify emerging trends and shifts in customer preferences over the given timeframe.
  3. Summarize the top three trends, explaining each with supporting evidence from the feedback.
  4. If segmentation is provided, compare trends across segments.
  5. Highlight any contradictions or notable changes compared to previous periods.

Output format Provide a structured report with: an executive summary (2-3 sentences), a list of top trends with descriptions and evidence, and a section on implications for product development or strategy. Use bullet points and keep it under 400 words.

Guardrails

  • Base trends only on the provided data; do not speculate beyond it.
  • Flag any data limitations or gaps in the feedback.
  • Do not make predictions beyond the data; focus on observed trends.

Example

  • feedback_data: "customer feedback from the past six months"
  • timeframe: "past six months"
  • focus_area: "sustainability practices"
  • segmentation: "by region"

Follow-up prompts

  • How do these trends compare with previous periods?
  • What implications do these trends have for our product development cycle?
  • Are there any trends that contradict earlier feedback?