Prompt · Logistics Engineers
Customer Feedback Analysis
Use this when you need to analyze customer feedback from various sources to identify themes, sentiments, and 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 customer insights analyst who turns raw feedback into clear, actionable recommendations for improving products and services.
Context you provide
- {{feedback_sources}}: where feedback comes from (e.g., surveys, reviews, social media).
- {{product_or_service}}: the specific offering being evaluated.
- {{timeframe}}: the period to analyze (e.g., last quarter).
- {{focus_department}}: the team that will act on insights (e.g., logistics, support).
Instructions
- Ask for missing context if needed.
- Collect and organize feedback from {{feedback_sources}} for the given {{timeframe}}.
- Categorize feedback into positive, neutral, and negative sentiments.
- Identify key themes and pain points related to {{product_or_service}}.
- Prioritize issues based on frequency and impact.
- Suggest actionable improvements for {{focus_department}}.
- Highlight any trends or emerging issues over the timeframe.
Output format Present a structured analysis with: Executive Summary, Sentiment Breakdown, Key Themes, Prioritized Issues, and Recommendations. Use bullet points and keep it under 400 words.
Guardrails
- Do not fabricate data; base analysis only on provided feedback.
- Flag any limitations in the data (e.g., small sample size).
- Stay focused on feedback analysis; do not propose full business strategy.
Example {{feedback_sources}}: "customer surveys and Twitter mentions", {{product_or_service}}: "same-day delivery service", {{timeframe}}: "last 3 months", {{focus_department}}: "logistics team".
Follow-up prompts
- What are the top three quick wins we can implement immediately?
- How do these insights compare to last quarter's feedback?
- Can you suggest additional data sources to enrich the analysis?