HRBrain 推出新功能「AI 解決方案提示 β 版」，透過生成式 AI 大幅縮減分析工時，支援組織改善
HRBrain 在脈衝問卷中新增了由生成式 AI 驅動的分析與改善建議功能 β 版。
📋 文章處理履歷
- 📰 發表: 2026年3月30日 20:00
- 🔍 收集: 2026年3月30日 22:56（發表後2小時56分鐘）
- 🤖 AI分析完成: 2026年4月16日 07:05（收集後392小時9分鐘）
HRBrain 公司（總部：東京都港區／代表取締役 CEO：堀 浩輝，以下稱「本公司」）於「HRBrain 脈衝問卷」中，開始試營運「AI 解決方案提示 β 版」（以下稱「本功能」）。此功能利用生成式 AI 分析過往的回答數據，並提供組織改善的啟示。
開發背景
儘管許多企業導入了脈衝問卷，但「數據已累積卻不知如何解讀」、「無法轉化為具體的改善行動」等課題日益顯現。特別是現場管理者，難以確保分析問卷的時間，導致僅止於確認結果的「問卷形式化」成為常態。
基於此背景，我們開發並試行導入了利用生成式 AI 來支援數據分析及具體行動検討的機制。
功能概要
特點 1：數據推移自動摘要
AI 參考過往的回答數據，自動摘要目前的員工狀態並呈現趨勢。
特點 2：優先課題識別
AI 提取最多三個優先度高的課題，明確需要關注的重點。
特點 3：具體改善行動建議
針對已識別的課題，具體提出「誰」應該做「什麼」，強力支援現場的改善行動執行。
※輸出內容不一定完全正確。最終判斷請勿僅依賴輸出結果，務必自行確認與判斷。
資料洽詢請由此進
https://www.hrbrain.jp/pulse-survey
解決的課題
透過活用本功能，可大幅縮減分析所需時間，並能專注於執行與課題解決直接相關的具體行動。此外，藉由 AI 的分析支援，管理者也能...
常見問題
What is the new feature launched by HRBrain?
HRBrain has launched the beta version of its new feature called "AI-Powered Solutions Hints" for its "HRBrain Pulse Survey" product.
What problem does this new feature aim to solve?
It aims to solve the problem of data accumulation from pulse surveys without clear interpretation or actionable insights, and the difficulty managers face in dedicating time to analyze this data, which often leads to 'hollowed-out surveys'.
How does the "AI-Powered Solutions Hints" feature work?
The feature uses generative AI to analyze past response data, automatically summarize current employee states and trends, identify up to three priority issues, and suggest specific actions ('who should do what') to address these issues.
Is this feature fully released and available to all users?
No, it is currently in a beta testing phase with a limited number of customers. A full product version is planned based on usage and feedback.
Can I rely solely on the AI's output for decision-making?
No, the output may not always be correct. Users are advised to confirm and judge for themselves without solely relying on the AI's suggestions.
What are the main benefits of using this feature?
The main benefits include significantly reducing the time spent on data analysis and enabling a focus on executing concrete improvement actions, thereby supporting organizational improvement more effectively.