arXiv cs.CLPaper
Computational KJ-Ho: An Analyst-Bias-Free Insight Extraction Framework from Large-Scale Qualitative Data Using Domain-Specialized LLMs
This applies LLMs to a specific enterprise workflow: turning interview transcripts and survey data into consumer insights without human curation bias. It's well-scoped and addresses a real pain point in market research. But it's domain-constrained and the preliminary studies are limited to Japanese marketing. This matters if you're building for research teams, not if you're building general tools.