Finders to Builders - A UX Research Show

Hello and welcome again to Finders The Builders. Today we have another episode of our AI-themed miniseries. We previously discussed synthetic users, and today's focus is on AI moderation. I conducted experiments comparing human and AI moderators in interviewing real users and found notable differences.
Tune in for more insights, and make sure to catch the future episodes on AI synthesis and AI for writing documents and protocols.
(01:16) Human vs AI Moderators
(02:03) AI Moderation: Structure and Limitations
(04:22) Contextual Understanding in Moderation
(06:26) Engagement and Demographics
(07:50) Fraud Detection and Pressing Further
(09:41) Combining Human and AI Moderation
(14:13) Conclusion and Future Episodes

In this episode, Dr. Ari Zelmanow joins us to explore the evolution of research in today’s business landscape.
We discuss the shift from traditional data collection to data connection, emphasizing the importance of integrating different business units for enhanced decision-making.

(00:55) The Evolution of Research
(01:43) Challenges in the Research Field
(03:49) Adapting to Business Needs
(08:59) Essential Research Methods
(12:23) Becoming a Trained Observer
(15:15) Strategic Communication of Insights
(19:12) Connecting Research to Business Goals

Today we delve into AI moderation!
I discuss my experiments comparing human and AI moderators, noting the structured approach of AI versus the more flexible, context-aware approach of human moderators.

(01:15) Human vs AI Moderators
(02:03) AI Moderation: Structure and Limitations
(04:21) Contextual Understanding in Moderation
(06:26) Engagement and Demographics
(07:50) Fraud Detection and Pressing Further
(09:40) Combining Human and AI Moderation
(11:13) Use Cases and Practical Applications

In this episode, we delve into the intriguing world of AI and explore how AI-generated users can be integrated into the research process. I share my experiences and experiments with various local versions of large language models (LLMs), such as GPT, Mistral, and Llama, and discuss the important distinctions between human and synthetic user feedback.
We also touch on the potential benefits and limitations of using synthetic users, emphasizing that while they have their place, they can never replace real human interactions.
(0:11) Introduction to AI Series
(2:21) Exploring AI-Users
(4:48) Comparing AI-gen users and Real User Feedback
(8:50) Challenges and Limitations of AI-gen Users
(12:38) Practical Applications and Training with AI-gen Users
(16:09) Conclusion and Future Episodes
IMPORTANT: During the episode, I use terms like AI-users and synthetic users interchangeably. In every case, I’m generically referring to AI-generated users and not specifically to the brand “Synthetic Users”.

In this episode of Finders Builders, I sit down with Jake Burghardt, author of 'Stop Wasting Research,' to discuss methods for maximizing the value of research in organizations. We delve into his motivations for writing the book, the concept of research waste, and identify three key root causes: preparation, motivation, and integration.
Jake provides practical advice for small research teams, solo researchers, and even non-researchers on how to build a movement within their organizations to make research more impactful. We also touch on the necessity of a research-aware culture and ways to implement research practices even in smaller or newly-formed teams. This episode is packed with insights and actionable tips for anyone looking to turn their research findings into strategic assets.

(00:49) Discussing Jake's Book: Stop Wasting Research
(03:12) Understanding Research Waste(
07:16) Root Causes of Research Waste
(12:06) Connecting Research to Decision Making
(15:53) Advice for Small Research Teams
(19:56) Building a Research Culture
(24:10) Getting Started with Research Organization
(31:11) Final Tips and Conclusion