AI CAN'T REPLACE REAL RESEARCH IN EMPATHY MAPPING

Summary from the TLDR Design newsletter

Empathy maps are most valuable when they are built from real user research, such as interviews, usability testing, support tickets, and field observations. While AI can generate believable user quotes, emotions, and behaviors, these outputs are assumptions rather than evidence and often lack the specific context that reveals genuine user needs and pain points. AI is best used to organize, cluster, summarize, and synthesize existing research data, not to invent users or fill gaps where research is missing. Relying on AI-generated empathy-map content can create a false sense of understanding and lead teams to make decisions based on fictional users instead of real-world insights.