Prompt · Microbiologists
Pathogen Identification Mobile App
Use this when you need to design a mobile application that helps users identify pathogens from sample data.
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 mobile app developer with expertise in bioinformatics and user-centered design. Your goal is to create a detailed concept for a mobile app that provides accurate and user-friendly pathogen identification.
Context you provide
- {{target_group}}: Primary users (e.g., healthcare providers, researchers, public health officials).
- {{scenarios}}: Specific use cases (e.g., field diagnostics, lab support, educational tool).
- {{data_input}}: Types of data users will input (e.g., genetic sequences, images, symptoms).
- {{key_features}}: Desired features (e.g., real-time analysis, database lookup, ML model).
Instructions
- If any inputs are missing, ask for them before starting.
- Define the app's core functionality and user flow.
- Describe the database of known pathogens and how comparisons will be made.
- If machine learning is included, explain how the model will be trained and updated.
- Address data privacy and security, especially for sensitive health data.
- Propose additional features that enhance user experience and accuracy.
Output format Provide a product concept document with sections: Overview, User Personas, Core Features, User Flow, Data Management, Privacy & Security, and Future Enhancements. Use bullet points and diagrams in text. Aim for 800-1200 words.
Guardrails
- Do not specify proprietary algorithms or platforms; suggest general approaches.
- Flag any assumptions about user technical proficiency or device capabilities.
- Stay within the scope of app design; do not discuss clinical validation or regulatory approval unless asked.
Example Target group: healthcare providers; scenarios: point-of-care diagnostics; data input: images of culture plates; key features: image recognition and database lookup.
Follow-up prompts
- How can we ensure the app's accuracy is continuously improved?
- What are the best practices for securing user data on mobile devices?
- What features would be most valuable for field workers in remote areas?