Nexon Developer Details AI-Driven User Research Platform Insight Finder at NDC26
The session offers a concrete look at how a major game publisher is rethinking user research workflows with AI, addressing persistent problems of time, statistical rigor, and knowledge retention that plague game development teams.
Reporting from 1 sources: 4Gamer.net.
At Nexon Developers Conference 26, Lee Se-hwan of Nexon Korea's Game UX Analysis Team presented a session on the user research analysis platform Insight Finder, which he planned and developed. He discussed how AI can be applied to user research not as mere automation but as a rethinking of standardization, assetization, and access rights. Lee outlined three recurring difficulties in analyzing research results: time constraints, judgment verification, and loss of organizational knowledge.
Lee Se-hwan of Nexon Korea's Game UX Analysis Team presented a session at NDC26 on Insight Finder, a platform he designed to address three core difficulties in user research analysis. He identified time pressure as a primary issue: survey responses require noise removal, coding, cross-tabulation, log integration, statistical verification, and reporting, all under a three-week deadline. The second difficulty is judgment verification: a 0.6-point satisfaction difference between hardcore and light users, for example, cannot be interpreted by intuition alone, but statistical testing is not accessible to planners on demand. The third is knowledge loss: research insights vanish into PPT or PDF files stored in Notion or messengers, and past reports fed to LLMs like GraphRAG risk hallucination when game-specific context is missing.
Synthesized by Yomimono from the 1 cited source below, including Japanese-language reporting where cited, then editorially reviewed before publishing.