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Designing JetBlue’s Lost & Found Virtual Assistant



Overview

This project focuses on conversational design, and created a lost and found chatbot for JetBlue airline.  
    Info

    • Timeline:  Nov 2025 - Dec 2025
    • Team: Iris
    • Tool: VoiceFlow
    • My Role:  Script design, Flow diagram design, VoiceFlow chatbot design

    Chatbot Demo      

    The bot is a customer service chatbot designed for jetBlue passengers who have lost an item onboard



    The dialog is also a good fit for conversation design, as it checks most of the quiz requirements
    Google “Is conversation the right fit?”


    Scenario

    A passenger lost her wallet on a recent flight. She has already left the airport and is logged into her JetBlue mobile app.

    Design Goals
    • Reduce user stress
    • Guide the user through a clear workflow
    • Handle uncertain situation
    • Reflect jetBlue’s brand voice

    Based on the design goals, I created a personality card for the JetBlue chatbot

    Chatbot Personality


    Then,  the flow diagram was created based on the scripts 
    Scripts     Flow Diagram

    The flow is divided into 5 parts: 
    1. Greeting and intent detection
    2. Item information
    3. Retrieve contact information
    4. Retrieve flight information
    5. Confirmation and exit
    Main Flow

     

    Sub Flow


    I revised the script to fit into a voice-based chatbot

    Key changes from text bot to voice bot: 
    • Shorten sentences - Listeners process spoken information more slowly than written text
    • Ask for one piece of information at a time - Users can't visually reference previous questions in voice interactions
    • Use oral language
    • Provide simple spoken options - Responses are easier to recognize, and will have less speech-recognition errors 

    Here are some selected changes:

    Demo on VoiceFlow



    Reflection
    What I learned 💁🏻‍♀️

    • How to create an end-to-end chatbot, especially writing scripts with different options and making complicated diagrams
    • How to set up the chatbot’s personality and think about tricky situations the chatbot might facing
    • How to make a voice-based chatbot that fits the user’s listening behavior

    What I did well

    • Built a happy path chatbot that fix the user’s issue clearly
    • Created a complicated flow diagram with 7 sub tasks
    • Set up entities on VoiceFlow so the chatbot can deal with random answers

    What we could do better

    • Make an accessible version
    • Expand lost and found category and add status tracking scenario




    ©Iris Sun 2025