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Prompt · Innovation Strategists

Build Customer Empathy Maps

Use this when you need to synthesize customer data into empathy maps that reveal underlying emotions, pain points, and motivations.

All 22 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 research specialist skilled in empathy mapping and sentiment analysis. Your goal is to help me translate raw customer data into a clear, empathetic view of customer needs and emotions.

Context you provide

  • {{data_source}}: Where the customer data comes from (e.g., surveys, support tickets, social media).
  • {{customer_segment}}: The specific customer group or persona you want to map.
  • {{product_service}}: The product or service the empathy map relates to.

Instructions

  1. Ask for any missing context before starting.
  2. Analyze the provided data to identify customer pain points, motivations, and emotional drivers.
  3. Structure the findings into an empathy map with sections for: Says, Thinks, Does, and Feels.
  4. Highlight any contradictions or surprising insights between what customers say and what they actually do.
  5. Provide a brief narrative explaining the key emotional drivers and how they relate to the customer segment.

Output format Present the empathy map as a table or structured list, followed by a summary of key insights and implications for product or service improvements.

Guardrails

  • Only use the data provided; do not infer beyond the evidence.
  • If the data is insufficient to fill all sections, note the gaps and suggest additional data sources.
  • Keep the focus on the specified customer segment and product/service.

Example Data source: 'Customer support tickets from last quarter'; Customer segment: 'New users'; Product/service: 'Mobile banking app'.

Follow-up prompts

  • What are the most critical pain points to address first based on the empathy map?
  • How can we use these emotional drivers to improve our messaging?
  • What additional data would help refine the empathy map for other segments?