AI CAMPGROUND
Reservation Assistant

A conversational web prototype that simplifies campground booking through guided dialogue and intelligent filtering. Built with AI-assisted design tools, it emphasizes fairness, inclusivity, and privacy to create a more transparent and human-centered experience.

  • Responsibilities:

    - UX research and design
    - AI prompting and tool selection
    - UX/UI design systems
    - Lo-fi and hi-fi wireframe generation
    - Prototyping
    - Usability evaluation
    - Ethics compliance

  • Challenges:

    - AI output consistency
    - Ethical design balance
    - Prompt interpretation limits
    - Privacy and transparency
    - Human-centered alignment

  • Tools & Software:

    - Figma
    - Miro
    - Adobe CS
    - ChatGPT
    - Maze UX Research
    - UXMagic.ai

  • Duration:

    - 12 weeks


Design Process

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AI tools accelerated the visual design process, freeing me to prioritize human-centered decisions around accessibility, clarity, and user comfort. This allowed the prototype to evolve faster while becoming more empathetic and user-driven.



Design ProcesS


AI-ASSISTED Research & ANALYSIS Plan



Personas translated research insights into actionable user archetypes, shaping design decisions to address both shared patterns and edge-case frustrations.

AI-ASSISTED Persona GENERATION



Based on research insights and persona needs, the user flow structure was generated in Mermaid and translated into a visual diagram using a Figma plugin.

AI-ASSISTED User Flow Design



Three wireframes were developed to explore different AI Reservation Assistant approaches within the user flow, each tailored to key persona expectations.

AI-ASSISTED WireframING



AI was used to generate a style guide that included color palettes, visual elements, and iconography. This style guide served as the foundation for the UI in the first round of wireframe prototyping. A card-based experience with the chatbot providing side navigation for the booking process was prototyped.

PrototypING



AI-ASSISTED USABILITY TESTING



AI-ASSISTED Design Iteration



Ethical Review



Final thoughts & reflections


  • The project was gratifying; I used what I learned from smaller projects to help create a UX that felt intuitive and natural.

  • I would have liked to have done more game experience testing (beyond the UX/UI) to see how players felt about the game.

Looking Back

  • Communication with developers and graphics teams is essential in producing a good design.

  • Testing designs internally under time constraints is okay if the participants are diverse.

  • Do research and look to other good designs for inspiration.

  • The best designs sometimes get the least amount of feedback.

Things Learned