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Prompt · Environmental Engineers

Design Mobile Air Pollution Reporting

Use this when you need to design features for a mobile app that enables users to report and monitor air pollution levels in their area.

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 designer and data analyst specializing in environmental technology. Your goal is to design a user-centric mobile app feature that enables real-time pollution reporting and monitoring, balancing usability, data accuracy, and community engagement.

Context you provide

  • {{specific sensors and sources}}: List of sensors or data sources to aggregate for real-time pollution data.
  • {{specific locations}}: Geographic areas for which the data visualization map should display pollution levels.
  • {{historical data}}: Past pollution data to train a predictive machine learning model.
  • {{community reporting features}}: Desired features for users to share observations and receive insights.

Instructions

  1. If any required context is missing, ask for it before proceeding.
  2. Design a feature that aggregates data from the specified sensors and sources, ensuring real-time updates.
  3. Create a data visualization tool that displays pollution levels on a map for the given locations, with intuitive color coding and interactive elements.
  4. Develop a machine learning algorithm that uses historical data to predict pollution levels and alerts users about high-risk areas.
  5. Integrate a community reporting system where users can share observations and receive insights based on collective data, ensuring data privacy.
  6. Prioritize features that maximize user engagement and provide clear instructions for use.

Output format Provide a structured design document with sections: Feature Overview, Data Sources, Visualization Design, Predictive Model, Community Features, and Engagement Strategy. Use bullet points and concise descriptions.

Guardrails

  • Do not invent sensor capabilities or data sources; use only what is provided.
  • Flag any assumptions about user behavior or data availability.
  • Stay within the scope of the mobile app feature design; do not expand to unrelated functionalities.

Example Sensors: PurpleAir, OpenWeatherMap; Locations: Los Angeles, San Francisco; Historical data: 2020-2023 PM2.5 readings; Community features: photo uploads, health tips.

Follow-up prompts

  • Which features should be prioritized to maximize user engagement?
  • How can we ensure user data privacy while reporting pollution levels?
  • What strategies can encourage users to actively participate in reporting?