JTBD From User Reviews: An LLM Pipeline That Replaces Weeks of Work
中文摘要
利用LLM流水线，通过信号提取、语义聚类和结构化验证，在2小时内从200多条评论中提取JTBD，将数周工作缩减至数小时。
English Summary
An LLM pipeline replaces weeks of work by extracting Jobs-to-be-Done from 200+ user reviews in 2 hours via signal extraction and semantic clustering.
Original Excerpt
How to extract Jobs-to-be-Done from 200+ reviews in 2 hours using signal extraction, semantic clustering, and structured validation Continue reading on Medium »