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.
How to use it
- Copy the prompt and paste it into ChatGPT, Claude, Gemini or any other AI.
- Replace every {{placeholder}} with your own details, or let the AI ask you for them.
- Use the follow-ups below to go deeper.
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
- If any required context is missing, ask for it before proceeding.
- Design a feature that aggregates data from the specified sensors and sources, ensuring real-time updates.
- Create a data visualization tool that displays pollution levels on a map for the given locations, with intuitive color coding and interactive elements.
- Develop a machine learning algorithm that uses historical data to predict pollution levels and alerts users about high-risk areas.
- Integrate a community reporting system where users can share observations and receive insights based on collective data, ensuring data privacy.
- 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?