AI in Performance Management

Explore how AI can facilitate continuous performance tracking, provide data-driven feedback, and identify high-potential employees, moving beyond traditional review cycles.

18 courses

Generative AI for Employee Performance Management and Feedback

Learn to use generative AI tools to streamline goal setting, draft constructive feedback, and design personalized professional development plans for your team.
★ 4.0 (10)

Organizational Design: Building Adaptive Teams

Learn how to design flexible business structures and foster adaptive teamworking to improve collaboration and performance across your organization.
★ 5.0 (2)

Stakeholder Engagement Scoring and Relationship Automation

Learn to calculate engagement scores, automate stakeholder communications, and build stronger relationships using modern data-driven workflows.

Managing Service Requests and AI-Driven Resolutions

Learn how to submit, route, and resolve service requests efficiently using modern ticketing workflows and AI-driven automation.

AI Agent Analytics: Monitoring Performance with Data Cloud Reports

Learn how to track, analyze, and improve your AI agent's performance using data cloud reporting and actionable metrics to deliver better customer experiences.

Designing a Modern Performance Management System

Build a continuous feedback and evaluation framework that aligns team goals, improves employee engagement, and drives organizational growth.

Designing AI-Driven Performance Management Systems

Learn to analyze modern HR challenges and design fair, AI-enhanced evaluation workflows that improve employee performance and organizational growth.

Optimizing GenAI Systems: Monitor, Measure, and Maintain

Learn to track, evaluate, and maintain generative AI applications in production using modern observability practices and performance metrics.

Performance Management Fundamentals: Leading High-Achieving Teams

Master the essentials of goal setting, continuous feedback, and modern performance evaluation to drive growth and engagement in any team.

AI Engineering: Evaluating LLM Performance in Braintrust

Learn how to run evaluation scripts, analyze inputs and outputs, and track AI model performance using the Braintrust dashboard to build reliable AI applications.

Evaluating Regression Models with R-Squared

Learn to evaluate machine learning regression models using the R-squared metric to accurately measure performance and identify overfitting.

Measuring AI Safety: Capabilities, Propensities, and Control

Learn to assess advanced AI models by measuring risk limits, behavioral tendencies, and control systems to ensure safe and responsible deployment.

Windsurf Administration: Dashboards and Organizational AI Policies

Learn to track AI usage, configure developer workspaces, and implement secure organizational policies using Windsurf administrative dashboards.

AI in Performance Management: Beyond the Annual Review

Build a clear, beginner-friendly understanding of how AI is reshaping performance management with continuous feedback, goal tracking, and data-driven insights.

Designing AI-Supported Performance Feedback and Goal Systems

Walk through the practical design of AI-supported feedback and goal management systems, from data inputs to summarization and manager-friendly outputs.

Evaluating AI Performance and LLM Quality Metrics

Learn to measure and monitor generative AI systems using automated metrics, human evaluation frameworks, and modern LLM-as-a-judge patterns to ensure reliable outcomes.

Rolling Out AI in Performance Management Without Losing Trust

Plan and run an AI-supported performance management rollout that strengthens rather than erodes trust between employees, managers, and the organization.

Managing Organizational Change for AI Initiatives

Lead your team smoothly through AI transitions by learning how to address employee concerns, restructure workflows, and foster a culture of continuous upskilling.