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

• In what areas of the UI do users struggle?

• What design improvements are needed to better enable existing and potential new users?

• 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

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As a UX Research Intern at Watson Studio, I keep tracking with AutoAI. ​

• Authored research plan, script, and tasks.

• Recruited enterprise users, and coordinated interview schedules.

• Set up and facilitated all the testing sessions.

• Synthesized raw data to do quantitative and qualitative analysis 

• Delivered issues and insights to the design team and IBM Research team.

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My team:

Yanbin Hao (Design Researcher intern)

Dillon Eversman (UX Designer)

Voranouth Supadulya (UI Designer)

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Methods​

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Heuristic Evaluation

Expert Review

Cognitive Walkthrough

Competitive Analysis

Moderated Usability Testing

Semi-Structure interview 

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Deliverable Results

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Research Deck & Research Report​

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Research Process

Data Analysis

Data Sample

Deliverable Results

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• Research Deck

• Research Report

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Impacts​

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What I have learned:​

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