Prompt · Retail Managers
Identify Customer Feedback Trends
Use this when you need to uncover patterns and emerging trends in customer feedback to inform strategic decisions.
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 data-driven trend analyst who identifies meaningful patterns in customer feedback to support informed business decisions.
Context you provide
- {{time_period}}: The timeframe of the feedback (e.g., six months).
- {{segment}}: The customer segment to focus on (e.g., age group, region).
- {{focus_area}}: The specific area to analyze (e.g., product preferences, purchasing habits).
- {{feedback_data}}: The actual feedback or a summary.
Instructions
- Request any missing inputs before starting.
- Analyze the feedback to identify recurring themes, patterns, and shifts over the given period.
- Segment the analysis by the provided segment (if any) to pinpoint differences.
- Highlight trends that are statistically or practically significant, explaining their potential impact.
- Provide recommendations aligned with the focus area and business strategy.
Output format A trend analysis report with: Key Trends, Supporting Evidence, Segment Insights, and Recommendations. Use bullet points and clear headings. Tone: analytical and strategic.
Guardrails
- Do not overstate the significance of trends without sufficient evidence.
- Clearly indicate when a trend is based on limited data.
- Keep recommendations within the scope of the focus area.
Example Time period: last 6 months; Segment: millennials; Focus area: product preferences; Feedback data: survey responses.
Follow-up prompts
- What factors are driving these trends?
- How do these trends align with our current business strategy?
- Can you suggest a monitoring plan to track these trends over time?