Official-source-aligned PSPO-AI Essentials scope map with domains, topic order, and study priorities.
On this page
Use this page as a coverage map for PSPO-AI Essentials. The strongest reading path is to keep product value and evidence at the center, then judge where AI helps responsibly.
Main study blocks
Product Owner perspective on AI: where AI can support discovery, backlog decisions, and product learning.
Value and evidence: how to judge whether AI use improves outcomes instead of just adding capability.
Backlog and experimentation: framing hypotheses, slicing work, and learning with controlled experiments.
Risk and governance: accountability, transparency, data concerns, bias, and human review.
Decision quality: choosing options that balance opportunity, learning speed, and product responsibility.
How to use this with the guide
Read the Cheat Sheet once for the main value and governance patterns.
Use the FAQ if you are still unsure how to separate useful experimentation from uncontrolled AI adoption.
Keep the Resources page open for official Scrum.org references.
Move to Practice after you can explain why a value-backed, evidence-seeking AI choice is stronger than a purely capability-driven one.