Episode 2 · 4:38
Synthetic Users vs Real Users: Where Does the Line Get Drawn?
Examines AI-generated users in research contexts, analyzing their utility alongside limitations. Emphasizes that human emotion, context, and behavioral depth remain irreplaceable in UX research work.
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Episode Overview
In this episode, we examine AI-generated users in research contexts, analyzing their utility alongside limitations.
Topics Covered
- What are synthetic users and how are they being used
- The promise and limitations of AI in user research
- When synthetic data can supplement real research
- Why human emotion and context remain irreplaceable
Key Takeaways
- AI has its place - Synthetic users can help with early ideation and hypothesis generation
- Human depth matters - Real users bring emotion, context, and behavioral nuance that AI cannot replicate
- Complement, don’t replace - The best approach combines synthetic and real user research