UX Research | Evaluative Research | Enterprise Design Thinking | B2B
AutoAI with IBM Watson Studio-- UX Research Project
How to create a better automatic modeling experience for data scientists?
March 2020 - December 2020, Design Researcher Intern
Summary
For 10 months, I was responsible for the research of AutoAI with the goal of improving user experience, designing humanely, and regularly sharing my work.
Objectives
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In what areas of the UI do users struggle?
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What design improvements are needed to better enable existing and potential new users?
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How can we help the data scientists more easily learn to use new features and find the optimal model?
To comply with the non-disclosure agreement, I have omitted and obfuscated confidential information in this case study. All information in this case study is my own and does not necessarily reflect the views of IBM.
My role
As a UX Research Intern at Watson Studio, I keep tracking with AutoAI.
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Authored research plan, script, and tasks.
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Recruited enterprise users, and coordinated interview schedules.
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Set up and facilitated all the testing sessions.
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Synthesized raw data to do quantitative and qualitative analysis
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Delivered issues and insights to the design team and IBM Research team.
My team:
Yanbin Hao (Design Researcher intern)
Dillon Eversman (UX Designer)
Voranouth Supadulya (UI Designer)
Methods
Heuristic Evaluation
Expert Review
Cognitive Walkthrough
Competitive Analysis
Moderated Usability Testing
Semi-Structure interview
Deliverable Results
Research Deck & Research Report
Research Process
Data Analysis
Data Sample
Deliverable Results
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Research Deck
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Research Report
Impacts
What I have learned: