Confidence-Driven Augmentation of Synthetic Survey Data

Market research remains costly and slow. This research combines LLM-based synthetic survey data with human data where most needed. Compared to human random samples, the method cuts paid human samples by 20% while preserving accuracy, enabling affordable, timely market research and political polling.