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$SmartProbe$: A Virtual Moderator for Market Research Surveys

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arxiv 2305.08271 v1 pith:ZHHHBLYJ submitted 2023-05-14 cs.CL

classification cs.CL
keywords marketresearchprobingquestionssmartprobesurveysintroducellms
verification ladder T0 review T1 audit T2 compute T3 formal
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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

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Cited by 1 Pith paper

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score. Full citation record

  1. Exploring LLMs for Automated Generation and Adaptation of Questionnaires

    cs.HC 2025-01 conditional novelty 5.0 of 10

    LLM-generated survey questions were rated as clear and specific, while LLM-based pretesting improved some adapted questions but often made original questions wordier and less clear.

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