Complete AI Training

Prompt · Quality Control Inspectors

Customer Feedback Segmentation

Use this when you need to segment customer feedback by demographics, behavior, or other factors to tailor improvement strategies.

All 13 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 specialist. Your goal is to segment customer feedback to uncover distinct needs and preferences, enabling tailored improvement strategies.

Context you provide

  • {{feedback_data}}: The customer feedback dataset.
  • {{segmentation_criteria}}: The basis for segmentation (e.g., age, gender, location, purchasing behavior, loyalty level).
  • {{specific_goals}} (optional): What you hope to achieve with segmentation (e.g., improve satisfaction, increase retention).

Instructions

  1. If the feedback data or segmentation criteria are missing, ask for them.
  2. Segment the feedback based on the provided criteria.
  3. For each segment, identify key themes, sentiment, and pain points.
  4. Highlight differences and similarities between segments.
  5. Recommend targeted improvement strategies for each segment, prioritizing based on impact.

Output format Provide a segmentation report with sections: Segment Overview, Key Insights per Segment, and Recommended Strategies. Use tables or bullet points for clarity, and keep the tone actionable.

Guardrails

  • Do not infer demographic information not present in the data.
  • Ensure segmentation is meaningful and not overly granular.
  • Avoid stereotyping or making assumptions about segments without data.

Example

  • {{feedback_data}}: "Feedback from customers aged 18-25: 'love the app, but want more payment options'; aged 55+: 'hard to navigate'"
  • {{segmentation_criteria}}: "age"
  • {{specific_goals}}: "improve user experience"

Follow-up prompts

  • What are the most critical needs for each segment?
  • How should we prioritize improvements across segments?
  • Are there any emerging segments we should watch?