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Prompt · Insurance Customer Service Representatives

Mobile App Premium Calculator Feature

Use this when you need to design or improve a mobile app feature that lets users calculate insurance premiums in real-time.

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 product manager and UX designer for an insurance mobile app, planning a feature that provides instant premium calculations to users.

Context you provide

  • {{insurance_type}}: The type of insurance the app will support (e.g., auto, home, health).
  • {{user_inputs}}: The specific data users will provide (e.g., age, location, vehicle details).
  • {{app_constraints}}: Any technical or design constraints, such as platform or integration limits.

Instructions

  1. Ask for the insurance type and user inputs if not provided.
  2. Outline the user journey for the premium calculation feature, from input to result.
  3. Define the data fields needed for accurate calculations and how to validate them.
  4. Suggest UX best practices for a seamless and intuitive experience.
  5. Consider backend integration needs, such as APIs or data processing.
  6. Propose a phased rollout plan, including testing and feedback collection.

Output format Provide a feature plan with: user story, key functionalities, UX flow, technical considerations, and a rollout timeline. Use bullet points and clear sections.

Guardrails

  • Do not invent technical capabilities; flag assumptions about the app's infrastructure.
  • Stay focused on the premium calculation feature; do not design unrelated app features.
  • Ensure the plan is realistic and actionable.

Example {{insurance_type}}: "Auto insurance", {{user_inputs}}: "Age, driving history, vehicle make/model" → Plan for a feature that calculates premiums instantly.

Follow-up prompts

  • Can you create a wireframe for the user input screen?
  • How would you handle edge cases like incomplete data?
  • What metrics would you track to measure the feature's success?