{"id":8300,"date":"2026-07-06T21:06:42","date_gmt":"2026-07-06T13:06:42","guid":{"rendered":"https:\/\/moresourcing.com\/performance-management-needs-new-metrics-in-the-ai-era\/"},"modified":"2026-07-06T21:06:42","modified_gmt":"2026-07-06T13:06:42","slug":"performance-management-needs-new-metrics-in-the-ai-era","status":"publish","type":"post","link":"https:\/\/moresourcing.com\/fr\/performance-management-needs-new-metrics-in-the-ai-era\/","title":{"rendered":"La gestion de la performance a besoin de nouvelles mesures \u00e0 l'\u00e8re de l'IA"},"content":{"rendered":"<p>&lt;p&gt;Comment les organisations peuvent &eacute;valuer les contributions des employ&eacute;s, des syst&egrave;mes d'IA et leur production combin&eacute;e.&lt;\/p&gt;<\/p>\n<p>#Performance #Gestion #Indicateurs #\u00c8re<\/p>","protected":false},"excerpt":{"rendered":"<p>&lt;p&gt;Comment les organisations peuvent &eacute;valuer les contributions des employ&eacute;s, des syst&egrave;mes d'IA et leur production combin&eacute;e.&lt;\/p&gt; #Performance #Gestion #Indicateurs #&Egrave;re<\/p>","protected":false},"author":1,"featured_media":8301,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"_monsterinsights_skip_tracking":false,"_monsterinsights_sitenote_active":false,"_monsterinsights_sitenote_note":"","_monsterinsights_sitenote_category":0,"footnotes":""},"categories":[9],"tags":[],"class_list":["post-8300","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-management"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO Premium plugin v25.7.1 (Yoast SEO v25.8) - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Performance Management Needs New Metrics in the AI Era - MORE SOURCING LTD<\/title>\n<meta name=\"description\" content=\"Even as they adopt AI, companies are measuring employee performance with familiar metrics of success: productivity, goal completion, and efficiency. As such, employees who rely heavily on AI may appear highly productive, while those who slow down to verify assumptions, challenge outputs, or correct errors might appear less efficient precisely when they\u2019re adding the most value. To effectively measure how employees perform working with AI tools, companies should adopt\u00a0a three-layer measurement framework for AI-era performance that enables organizations to distinguish between metrics for human contribution, AI system and agent metrics, and human-AI systems. 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