In this episode, Warren, Jay and Indi Young delve into the world of qualitative data science, exploring the importance of listening deeply to understand user experiences and the evolution of data science that listens.

Indi shares her journey from computer science to qualitative research, emphasizing the need for empathy and understanding in design. The conversation covers the significance of identifying patterns in qualitative data, the concept of saturation in research, and the future of research methodologies. Indi advocates for a shift towards empirical knowledge and cognitive empathy in understanding user needs, ultimately aiming to create better products and services.

Links:

https://www.linkedin.com/in/indiyoung

https://indiyoung.com/

https://indiyoung.com/training/#courses-list

https://indiyoung.com/resources/

Chapters:

00:00 Introduction to Qualitative Data Science

08:12 The Evolution of Data Science That Listens

22:48 Finding Patterns in Qualitative Data

40:22 Framing Studies and Understanding Stakeholder Needs

53:51 Knowledge Creation Over Research

01:04:23 Framing Studies and Listening Sessions

01:11:26 Tactical Approaches to Research

01:19:20 The Role of Research Teams

01:26:44 The Future of Research