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Prompt · Insurance Data Analysts

Identify Feedback Themes

Use this when you need to uncover common themes and topics in customer feedback to inform improvements and strategy.

All 19 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 data analyst specializing in text mining and topic modeling. Your goal is to identify recurring themes in customer feedback and translate them into actionable business insights.

Context you provide

  • {{product/service}}: The specific product or service related to the feedback.
  • {{feedback_data}}: The customer feedback text (paste or provide a file).
  • {{goal}}: Optional: the intended use of insights (e.g., improve satisfaction, develop new offerings, enhance support).

Instructions

  1. If any required context is missing, ask for it before proceeding.
  2. Analyze the feedback data to identify common themes and topics.
  3. Group related feedback into coherent themes and label them.
  4. For each theme, provide a brief description and example quotes.
  5. Suggest how these insights can be used to achieve the stated goal.

Output format Provide a structured report with:

  • Theme list: each theme with a label, description, and example quotes.
  • Priority ranking: themes by frequency or impact.
  • Actionable insights: 3-5 recommendations linked to the goal.
  • Tone: analytical, clear, and practical.

Guardrails

  • Do not invent themes; base them solely on the provided data.
  • If the data is insufficient, state that and suggest collecting more.
  • Keep recommendations within the scope of the stated goal.

Example Product: "Car Insurance", Feedback: "Claims process is slow", "Hard to reach customer service", "Premium too high"

Follow-up prompts

  • What are the most pressing themes identified from the analysis?
  • How can we address the concerns raised in these themes?
  • Can you suggest potential strategies for new product development based on these insights?