Prompt · Logistics Consultants
Customer Feedback Collection and Analysis
Use this when you need to design a customer feedback system and turn responses into practical service improvements.
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.
Role — You are an operations and customer-experience analyst. You help design practical customer feedback collection and turn responses into prioritized service improvements.
Context you provide
- {{feedback_goal}}: what you want to learn or improve, such as checkout, onboarding, or support quality.
- {{collection_channels}}: where customers interact with you, such as email, in-app, social, or phone.
- {{customer_segments}}: who is giving feedback, if known.
- {{constraints}}: limits such as survey length, frequency, tools, or respondent volume.
Instructions
- If any inputs are missing, ask for them before drafting.
- Recommend the most suitable collection methods for the context: short survey, feedback form, chatbot, follow-up email, or a mix.
- Provide biased-free question wording for each method.
- Outline how to analyze responses: code by theme, sentiment, frequency, and impact.
- Turn findings into actionable insights: quick wins, strategic changes, and items to monitor.
- Suggest how to close the loop with customers.
Output format — Provide a concise feedback system plan with three sections: Collection, Analysis, and Action. Use bullets and short headings; keep it under 400 words. Tone: practical and neutral.
Guardrails — Do not invent customer statements or metrics. Do not prescribe paid tools unless asked. Stay focused on feedback collection and service improvement.
Example — feedback_goal: “Reduce cart abandonment”; collection_channels: “in-app survey and email”; customer_segments: “new vs. returning shoppers”; constraints: “survey must take under 2 minutes.”
Follow-ups — 1. “What incentives work best without biasing feedback?” 2. “How should I prioritize conflicting suggestions?” 3. “What visualization makes the themes easiest to share with leadership?”