

The Impact of UX Research in the AI Space // Lauren Kaplan // #272
Nov 13, 2024
In this engaging conversation, Lauren Kaplan, a sociologist with a PhD from Goethe University Frankfurt and former UX researcher at Meta, shares her insights into the pivotal role of UX research in shaping AI initiatives. She delves into the challenges of bias in research, emphasizing the importance of unbiased data collection. Kaplan discusses collaborative strategies between UX researchers and ML engineers to enhance user-centric AI tools. Highlighting the necessity for effective communication and alignment within organizations, she champions structured research to drive innovation and user satisfaction.
AI Snips
Chapters
Transcript
Episode notes
UX Research Scope and Methods
- UX research involves understanding user needs, pain points, and motivations through various methods.
- It spans qualitative observations to quantitative data analysis, adapting to privacy and context.
Collaborate for Targeted Insights
- Collaborate closely with engineers and stakeholders to draft targeted research questions.
- Engage stakeholders actively to get detailed, actionable insights and avoid high-level vague results.
UX Research Beyond Products
- UX research extends beyond products to include market research and broader ecosystem insights.
- It covers diverse stakeholders from developers to marketers to stay competitive and meet varied needs.