🤖 AI‑Powered Learning Recommendations - deferred (future/idea)

[arman-karimi-irc]

📌 Feature Request: AI‑Powered Learning Recommendations

Summary

Enable AI‑driven recommendations for employee learning and development, tailored to individual performance trends, career goals, and organizational skill needs.

Problem Statement

Employees often struggle to identify the most relevant training opportunities, while managers lack visibility into evolving skill gaps. Current learning paths are static and generic, which limits engagement and impact.

Proposed Solution

• Use AI models to analyze performance data, role requirements, and career aspirations.
• Recommend personalized learning modules, courses, or mentorship opportunities.
• Highlight emerging skills needed across the organization and suggest proactive upskilling.
• Provide managers with dashboards showing team skill gaps and recommended interventions.
• Ensure fairness and transparency by documenting recommendation logic and avoiding bias.

Acceptance Criteria

• Employees receive weekly personalized learning suggestions in the dashboard.
• Recommendations are linked to measurable goals (e.g., performance improvement, career progression).
• Managers can view aggregated skill gap insights for their teams.
• Clear explanation of why a recommendation was made (e.g., declining performance in X, industry demand for Y).
• Integration with existing LMS (Learning Management System) or HRIS.
• Compliance with privacy and ethical AI guidelines.

Additional Notes

• Consider gamification or recognition for completing recommended learning paths.
• Explore anonymized reporting to track organizational learning trends.
• Recommendations should support employee growth, not punitive measures.

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User Stories

• As an employee, I want personalized learning recommendations so I can grow my skills and advance my career.
• As a manager, I want visibility into team skill gaps so I can support targeted development.