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Bio

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Tran Hoang is a seasoned researcher and product manager with expertise in UX research, digital art and media production, data analysis, and youth mentoring. He has led numerous studies, conducted qualitative interviews, and designed conversational agents for children's learning. Tran holds a Master of Science degree in Learning, Design, and Technology from Stanford University.

Experience

    • Product Manager
      • May 2024 - Present

    • Senior Research Manager
      • Feb 2024 - Present

    • Associate UX Researcher
      • Sep 2022 - Dec 2023

      Led over 30 studies for 4 different products with adults and children from 2-8 years old through semi-structured interviews, diary studies, ethnographies, surveys, user testing, and more.

  • Curious Conversations
    • Stanford, California, United States
    • Co-Founder
      • Sep 2021 - Dec 2022
      • Stanford, California, United States

    • UX Research Intern
      • Mar 2022 - Sep 2022

      Analyzed quantitative and qualitative data collected from qualitative interviews and surveys with parents to communicate findings effectively to internal teams.

    • Community Design Intern
      • Mar 2022 - Jul 2022

    • Product Design Intern
      • Jan 2022 - Mar 2022

      - Conducted qualitative interviews with parents to analyze data collected and prepared insights to improve customer conversion and retention.- Designed a survey for existing users to provide feedback on their current experience with the application. - Served as a subject matter expert in the design of a conversational agent for implementation and integration into the application.

  • Media and Child Development Lab
    • University of California, Irvine
    • Lab Manager and Research Assistant
      • Apr 2017 - Dec 2021
      • University of California, Irvine

      Project name: Automated Conversational Agent for Dialogic Storybook Reading - Collaborated with members from IBM Research to build the artificial intelligence-powered conversational agent.- Developed framework for question-answer pairs and benchmark dataset of dialogic questioning to buildchildren’s narrative comprehension skills.- Created over 10,000 question-answer pairs for labeled dataset used to train the conversational agent.- Project funded by Schmidt Futures for $40,000.Project name: Young Children’s Learning with Conversational Agents- Transcribed and analyzed interviews with 31 children to understand their perception of conversational agents.- Assisted in editing a conversational storytelling script to implement in the Google Home by reviewing reading comprehension questions with the research team.- Administered exams to preschool children for the Expressive One-Word Picture Vocabulary Test.- Utilized in a pilot study on a PBS Kids program

    • Academic Imagine Learning Instructor
      • Oct 2019 - Jun 2020

      - Engaged and supported 40 children’s experience with Imagine Learning curriculum.- Implemented computer-based program to help young English Language Learners.

    • Grantwriting and Research Intern
      • Oct 2018 - Jun 2019
      • Costa Mesa, CA

      - Collaborated with a development team to compose a total of 13 grant proposals, resulting in $32,300 of funding - Interviewed students facing housing insecurity with a focus to understand the barriers in higher education.

Education

  • 2021 - 2022
    Stanford University
    Master of Science - MS, Learning, Design, and Technology
  • 2016 - 2019
    UC Irvine
    Psychology and Social Behavior, Education Sciences

Suggested Services

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Industry Focus. “Design”

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