$SmartProbe$: A Virtual Moderator for Market Research Surveys

Josh Seltzer, Jiahua Pan, Kathy Cheng, Yuxiao Sun, Santosh Kolagati +2 more
5/14/2023
cs.CL

No confident code implementation found for this paper.

Abstract

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

View on arXivView PDF

Code Implementations

No confident code match yet

We couldn't find an author-owned or strongly-evidenced community implementation for this paper. Any repos shown below are weak matches — verify before relying on them.

No code implementations found yet.

Know of an implementation? Let us know in the comments below!

Similar Papers

Cite this paper

@article{seltzer2023smartprobe,
  title  = {$SmartProbe$: A Virtual Moderator for Market Research Surveys},
  author = {Josh Seltzer and Jiahua Pan and Kathy Cheng and Yuxiao Sun and Santosh Kolagati and Jimmy Lin and Shi Zong},
  year   = {2023},
  eprint = {2305.08271},
  archivePrefix = {arXiv},
  url    = {http://arxiv.org/abs/2305.08271v1}
}

Add a badge to your README

Shows whether official code is linked for this paper.

Code of Paper badge
[![Code of Paper](https://codeofpaper.com/badge/2305.08271.svg)](https://codeofpaper.com/paper/2305.08271)

Discussion