Qual vs Bot: A Study So Real, It’s Artificial скачать в хорошем качестве

Qual vs Bot: A Study So Real, It’s Artificial

The research world is buzzing about synthetic respondents, but the question remains: can AI-driven panels deliver the same nuance, insight, and emotional depth as real people? As synthetic panel technology matures, researchers are grappling with when – and if – it makes sense to replace human participation with machine-generated responses. Join L&E Research as we unveil the results of a brand-new case study designed to put synthetic respondents to the test. In this session, we’ll compare real and AI-generated participants across several research tasks, revealing surprising insights about where synthetic data delivers, where it doesn’t, and what that means for the future of research. Along the way, we’ll highlight a few innovative platform features that made this experiment possible. This isn’t just a theoretical discussion. We’ve built synthetic panels using retrieval-augmented generation (RAG) models and compared them to real participants recruited via Condux’s self-serve capabilities. The result? A compelling, unbiased look at when synthetic works, when it fails, and how researchers can smartly deploy it. Whether you’re skeptical, curious, or already testing AI in your research stack, this session will help you understand what’s hype – and what’s real.