The Learning Loop: How AI Connects Employee Goals, Feedback, And Training
Briefly

The Learning Loop: How AI Connects Employee Goals, Feedback, And Training
"Most companies run learning, performance, and feedback as separate systems. Goals sit inside a performance tool; feedback lives in manager notes or quarterly reviews; training sits in a learning platform where employees complete courses that may or may not connect to the work they are actually doing."
"Work moves continuously, but development still happens in isolated moments. Goals do not adjust when feedback reveals a skill gap. Training does not respond to what employees struggle with right now. Feedback highlights issues, but nothing turns those signals into action."
"Performance does not stall because people resist learning. It stalls because the system reacts too slowly to what work actually demands."
Organizations typically manage goals, feedback, and learning as separate systems that operate on different timelines and lack integration. Goals are set quarterly but rarely adjust when priorities shift. Feedback occurs reactively during reviews or when problems arise, rather than continuously. Training happens after gaps become visible, often too late to impact outcomes. The core issue is not employee resistance but systemic timing and disconnection. Work evolves continuously, yet development remains static. Feedback highlights problems without triggering action. Training addresses assigned topics rather than immediate challenges. Goals remain unchanged despite role evolution. This fragmentation creates a cycle where feedback becomes routine, training feels obligatory, and performance stalls not from resistance but from systems that react too slowly to actual work demands.
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