人事系統供應商jinjer宣布推出全新AI功能系列「HR Signals」，旨在分析人事資料以提供洞見。首發的「離職警報功能」將於2026年6月起上線，用於早期偵測員工的離職跡象。
提供整合型人事系統「jinjer」的jinjer株式會社，宣布將推出「HR Signals」功能系列，該系列透過AI橫向分析人事資料，為解決組織與員工的課題提供啟示。首發功能「離職警報功能」將於2026年6月後陸續推出，此功能會由AI分析系統中自動累積的出勤、薪資、績效、異動履歷等人事資料，以早期偵測離職預兆。此功能旨在解決傳統問卷調查難以捕捉的「無聲辭職」等隱藏問題，透過客觀數據進行偵測。其特點是活用「jinjer」整合型人事資料庫的優勢，能將主管變動或部門異動等環境變化與員工的行為變化結合分析。AI不僅會提示風險，還會建議具體的後續行動，例如安排面談，幫助管理層及時採取措施，從而提高員工留任率。
FACT BOX · 重點整理
- 來源：PR TIMES
- 分類：Product Launch Announcement
常見問題
What is jinjer's new "HR Signals" feature series?
It is a series of functions that uses AI to analyze various HR data (attendance, salary, evaluations, transfer history) stored in the jinjer system to provide insights and signals for resolving organizational and employee challenges.
What is the first feature to be released in the "HR Signals" series?
The first feature is the "Turnover Alert Function," which uses AI to analyze HR data to detect early warning signs that an employee may be considering leaving the company.
When will the "Turnover Alert Function" be available?
It will be sequentially released within the "jinjer HR/Labor" module starting from June 2026.
How does this feature differ from traditional methods like surveys?
Unlike surveys which rely on self-reporting, this function analyzes objective, automatically collected data like attendance patterns and leave requests. This allows it to detect hidden signs of disengagement, such as "quiet quitting," that employees might not consciously report.
What kind of actions does the feature suggest after detecting a risk?
The system doesn't just flag a risk; it also suggests concrete next steps for managers, such as scheduling a one-on-one meeting, to facilitate proactive intervention before it's too late.