[4D2-OS-33b] OS-33

[4D2-OS-33b-02] Dynamic Prompt-Controlled Training System Using Large Language Models for Facilitating In-Depth Customer Interview Questions

〇Soki Kawashima¹, Shun Shiramatsu¹, Kohei Aoki², Yuka Kitamura², Takaya Okamoto² (1. Nagoya Institute of Technology, 2. PURPOM MEDIA LAB INC.)

Keywords:Large Language Models, New Business Development, Customer Interviews, Marketing, Business Education

In recent years, accurately identifying customers’ latent needs has become increasingly important. We propose a customer interview training system that utilizes a Large Language Models (LLM) as the interviewee. Our system dynamically updates prompts based on the progress of the conversation, ensuring that users can only extract latent needs if they ask appropriate follow-up questions. Experimental results demonstrated that, while the number of questions asked by participants increased by only 35% with the baseline method, it increased by an average of 148% with the proposed method. Furthermore, the number of questions required to elicit a single piece of information from the system was up to four times higher in the proposed method than in the baseline, indicating its effectiveness in promoting in-depth questioning.