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Can AI generate users for research? In this conversation at UX India, Sonal, Lead Product Designer at the Economist Intelligence Unit, explains how her team uses Synthetic User Research — a process of creating AI-generated personas to accelerate discovery and innovation in B2B product design. In traditional UX research, access to real users can be slow, expensive, and sometimes impossible. Especially in B2B products, where the buyer and user are often different, getting quality insights becomes a challenge. This is where synthetic users come in.Using generative AI tools like ChatGPT, Sonal’s team built a structured persona library of over 60 synthetic users based on industry data, real product knowledge, and domain expertise.But is it ethical? Is it reliable? What are the risks? Where should human validation step in? In this episode, we discuss: • What is Synthetic User Research? • Why B2B UX research is difficult • Creating AI-generated personas • Building a reusable synthetic persona library • Combining product knowledge + AI training data • Ethical design principles with AI • Bias and limitations in generative AI • Why synthetic users are a starting point, not a replacement • Using AI for faster discovery phases • Validation with real users • Hackathons and AI adoption inside organizations • Practical workflow of AI in product design This conversation is for: UX Designers UX Researchers Product Designers B2B Design Professionals AI-curious Creatives Design Leaders Innovation Teams Synthetic user research is not about replacing real people. It is about accelerating discovery while staying transparent and ethical. Watch till the end to understand how AI can support — but not replace — human empathy in design. ⏱ Chapters 00:00 – Introduction 00:40 – What Is Synthetic User Research? 01:30 – B2B UX Challenges & Real User Constraints 03:00 – Ethical AI & Design Principles 04:40 – Creating AI Personas with Generative AI 06:20 – Building a Synthetic Persona Library 08:30 – Risks & Limitations of Synthetic Research 10:00 – Why AI Is a Starting Point, Not Final Decision 12:00 – How Economist Encourages AI Innovation 14:00 – Real User Validation After AI Discovery 15:30 – Challenges & Bias in AI Training Data 17:00 – About the UX India Talk 18:00 – Rapid Fire Round