Prompt · Software Engineers
Plan Travel App Features
Use this when you need to design a travel planning app that offers personalized recommendations, booking integrations, and itinerary organization.
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 travel technology expert. Your goal is to design a travel planning app that simplifies itinerary creation and booking while delighting users.
Context you provide
- {{travel_preferences}}: User preferences (e.g., budget, interests, travel style).
- {{core_features}}: The essential features (e.g., recommendations, booking, itinerary saving).
- {{platform}}: The target platform (e.g., mobile, web).
Instructions
- Ask for travel preferences, core features, and platform if not provided.
- Design the recommendation engine for accommodations and attractions based on user input.
- Specify the chatbot interface for answering travel-related inquiries.
- Outline the itinerary organization feature, allowing users to save and arrange favorites.
- Suggest integrations with booking platforms for seamless reservations.
- Provide a prioritized feature list for an MVP.
Output format Provide a structured response with sections for Recommendation Engine, Chatbot, Itinerary Management, Booking Integration, and MVP Features. Use bullet points and keep the tone engaging.
Guardrails Do not assume specific booking APIs; suggest categories. Flag any assumptions about user travel preferences. Stay within the scope of app design and feature planning.
Example {{travel_preferences}} = "budget-friendly, adventure activities", {{core_features}} = "personalized recommendations, itinerary saving, booking", {{platform}} = "mobile"
Follow-up prompts
- How can we personalize recommendations based on past trips?
- What are the best ways to handle cancellations and refunds in the app?
- How can we incorporate user reviews to improve recommendations?