Market research surveys are a powerful methodology for understanding consumer perspectives at scale, but are limited by depth of understanding and insights. A virtual moderator can introduce elements of qualitative research into surveys, developing a rapport with survey participants and dynamically asking probing questions, ultimately to elicit more useful information for market researchers. In this work, we introduce ${\tt SmartProbe}$, an API which leverages the adaptive capabilities of large language models (LLMs), and incorporates domain knowledge from market research, in order to generate effective probing questions in any market research survey. We outline the modular processing flow of $\tt SmartProbe$, and evaluate the quality and effectiveness of its generated probing questions. We believe our efforts will inspire industry practitioners to build real-world applications based on the latest advances in LLMs. Our demo is publicly available at https://nexxt.in/smartprobe-demo

翻译：市场调研问卷是规模化理解消费者视角的有效方法，但受限于理解的深度和洞察力。虚拟主持人能将定性研究的元素引入问卷，与受访者建立互动关系，并动态提出探究性问题，最终为市场研究人员获取更有效的信息。本文介绍${\tt SmartProbe}$——一个利用大语言模型自适应能力并整合市场研究领域知识的API，旨在为任何市场调研问卷生成有效的探究性问题。我们概述了$\tt SmartProbe$的模块化处理流程，并评估其生成问题的质量与效果。我们相信这一工作将激励行业从业者基于大语言模型的最新进展构建实际应用。我们的演示系统可于 https://nexxt.in/smartprobe-demo 公开访问。