In this session, we discussed how UX/Product and Analytics teams can work together to understand user behavior by examining the relationships between specific KPIs and doing advanced analysis of behavioral patterns using machine learning. We talked about why UX/design researchers would want to take this approach to researching user behavior, how Machine Learning is used to analyze user behavior, and the pros and cons of using this method.
More Talks by Stephanie
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Lesson learned: looking at more than one metric to inform your designs
TopicsData, Design Strategy
As a designer in ecommerce, it's tempting to try to find that one customer metric to...
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Design Ethics: Inclusivity in the Design Process
TopicsDesign Strategy, Design Thinking, Diversity & Inclusion
UX, collaboration and "listening to the customer" have increasingly become a standard...
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The User Experience of Voice
DisciplinesImmersive Experience Design, Product Design, User Research
TopicsInnovation, Voice UI
IndustryTechnology
Speaker Vanessa Colina
I'm a User Experience designer from Venezuela, based in Washington DC....
General Info
IBM Design Thinking and Agile Subset
DisciplinesInteraction Design, Product Design, User Experience, User Interface, User Research
TopicsDesign Thinking
IndustryTechnology
Speaker Soo Yun Kim
IBM CIO Design & Luminary Company visit A presentation about IBM Design Thinking...
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Content: The Overlooked User Experience
DisciplinesContent Strategy, User Experience
TopicsDesign Strategy, Design Thinking, Web & Mobile
IndustryTechnology
Speaker Brittney Urich
This talk explores the importance of integrating content strategy into UX design....
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