COURSE · PHASE 3
ICAgile Micro-credential: AI for Product Metrics
This micro-credential offers a hands-on introduction to using AI tools to identify, track, and act on product analytics. It covers identifying relevant product health and performance indicators, evaluating feature success and customer impact, and translating AI insights into next steps for product teams. Learners also examine AI limitations, risks, and ethical considerations, and use human judgment to refine recommendations.
FROM THE CURRENT BROCHURE
Know what the experience covers before you download.
These highlights are drawn from the current approved course brochure and are designed to support an informed first conversation.
COURSE HIGHLIGHTS
The capabilities and outcomes in focus.
- 01
Evaluate at least three product metrics for a case study or real-world scenario using AI-generated insights.
- 02
Generate at least three new or refined product metrics, each aligned to business or product goals, using AI tools for a case study or real-world scenario.
- 03
Recommend at least two product decisions (such as developing a new feature, pivoting to a new strategy, or stopping development) based on AI-generated metric analysis for a case study or real-world scenario.
- 04
Create a simple visualization (such as one-page report or dashboard mockup) of product metrics that includes AI generated insights and recommended actions for a case study or real-world scenario.
- 05
Explain the iterative process of identifying, analyzing, and refining product metrics and decisions using AI, highlighting how continuous learning and adaptation support success throughout the product lifecycle.
- 06
Examine the limitations, risks, and ethical considerations of using AI for product metric identification, analysis, and decision-making.