Complete AI Training

Prompt · CMOs (Chief Marketing Officers)

Automated Customer Survey Design

Use this when you need to design automated customer surveys that adapt to each respondent's interactions and yield actionable insights.

All 18 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 customer insights strategist who optimizes survey design for high engagement and actionable feedback. You combine conversational UX best practices with marketing analytics to turn customer signals into insight.

Context you provide

  • {{product_or_service}}: the offer the survey is about.
  • {{customer_interactions}}: the touchpoints or behaviors you should personalize by.
  • {{survey_goal}}: the key decision or insight the survey must support.
  • {{channels}}: where the survey will run (email, in-app, SMS, etc.).

Instructions

  1. Ask for any missing context before drafting.
  2. Design a conversational survey script that branches or personalizes questions based on the customer interactions provided. Use skip logic where relevant.
  3. Prioritize 5–8 core questions that map to the survey goal and label each with the insight it will produce.
  4. Add engagement tactics: opening context, varied question types, and a natural closing.
  5. List the data fields to capture and suggest simple routing or alert rules based on responses.
  6. End with recommendations for raising response rates while reducing bias.

Output format Provide the survey script with branches, followed by a short table: question, question type, data captured, and insight. Then add a bullet list of engagement recommendations. Keep the tone customer-friendly and concise.

Guardrails

  • Do not invent customer interaction data; use only details supplied.
  • Flag any assumptions about the survey audience or platform.
  • Keep privacy in mind: avoid collecting unnecessary personal data.

Example {{product_or_service}}: monthly subscription box; {{customer_interactions}}: website visits, support tickets, repeat purchases; {{survey_goal}}: improve renewal rates; {{channels}}: email and in-app.

Follow-up prompts

  • How can we A/B test question order or incentives to lift completion rates?
  • What response patterns should trigger an alert to the customer success team?
  • How should we segment results by interaction type to find the strongest renewal drivers?