ICAgile AI for Product Metrics Micro-credential

Overview

This course equips professionals with practical skills to apply AI tools for identifying, analyzing, and refining product metrics. Learners will explore how AI can uncover insights, validate relevance, and support data-driven decisions while maintaining ethical standards and human oversight.

Prerequisites

• Foundations of AI (ICP-FAI) or equivalent generative AI knowledge
• Agile Product Management (ICP-PDM) or equivalent product knowledge

Target Audience

Product managers, analysts, business leaders, and professionals seeking to improve decision-making through AI-driven metrics.

Objectives

By the end of this course, participants will:

• Evaluate existing product metrics and propose improvements using AI insights
• Generate new metrics aligned with business goals
• Recommend product decisions based on AI-driven analysis
• Create visualizations of metrics and critique AI interpretations
• Address ethical considerations and biases in AI-supported metric analysis

Outline

• Introduction to AI for Metrics
• Identifying and Refining Metrics
• AI-Driven Analysis and Visualization
• Decision-Making Based on Metrics
• Ethics and Limitations

Delivery Format

• Instructor-led, online sessions with practical exercises

Assessment

• Scenario-based exercises, metric evaluation, and visualization creation

Hands-on Activities

• AI tool walkthroughs for metric generation and analysis
• Group critique of AI outputs

Benefits

• Gain ICAgile recognition, enhance product decision-making, and develop practical AI skills for metrics management.