Learn/AI for Scrum & Agile Teams/AI for Product Owners

Select the search type
  • Site
  • Web
Search

Learning Path

AI for Scrum Product Owners

Built for Product Owners and product leaders who want practical, sprint-ready ways to use AI for discovery, roadmap clarity, and backlog excellence—without losing customer focus.

  • Turn fuzzy ideas into crisp requirements Use AI-assisted discovery prompts to clarify outcomes, assumptions, and constraints—fast.
  • Write better stories with fewer rework loops Generate user stories, acceptance criteria, and examples that align to the Sprint Goal and Definition of Done.
  • Improve prioritization & stakeholder alignment Use AI to synthesize feedback, spot tradeoffs, and communicate value with confidence.
Start Step 1 Watch Playlist Get the Workbook/Resources

Path Steps

Work through these in order. Each step links to an EasyDNNnews article/video post, with a quick exercise to apply it immediately.

1

Learn a simple PO-friendly mental model for where AI helps most (discovery, backlog quality, prioritization, and stakeholder communication).

!Do this exercise

List your top 3 “unknowns” for the next release (users, value, constraints). Ask AI to generate 10 clarifying questions for each.

2

Learn how to turn interviews, notes, and feedback into themes, risks, and opportunities you can act on in a sprint.

!Do this exercise

Paste 10–20 lines of feedback. Ask AI to cluster it into themes + propose 3 experiments you can run next sprint.

4

Learn how to use AI to produce verifiable criteria and concrete examples (happy path, edge cases, and failure modes).

!Do this exercise

Pick one story. Ask AI for 6 acceptance tests: 2 happy, 2 edge, 2 negative—then remove anything you can’t objectively verify.

6

Learn a lightweight approach to ranking work using value, risk, and effort—and how to use AI to surface tradeoffs and assumptions.

!Do this exercise

Take your top 10 backlog items. Ask AI to propose a ranked list and explain the assumptions—then adjust the assumptions, not just the order.

8

Learn how to generate clear status updates that focus on outcomes, decisions needed, risks, and next steps—without noise.

!Do this exercise

Ask AI to draft a 6-sentence stakeholder update: outcome, evidence, what changed, current risk, decision needed, and next checkpoint.


Reminder: To deepen these skills in a real product environment, remember to take the Certified Scrum Product Owner (CSPO) class. The course expands on these techniques and shows how to apply AI responsibly in real Scrum teams.

Path Steps - Free

24 Feb 2026

Step 1: AI Foundations for Product Owners: A Practical Mental Model

This content introduces a practical mental model for how Product Owners should use AI effectively.

Instead of focusing on tools, it emphasizes outcomes. AI delivers the most value in four areas:

  1. Discovery – Clarifying user needs and exposing assumptions.

  2. Backlog Quality – Strengthening acceptance criteria and reducing ambiguity.

  3. Prioritization – Evaluating trade-offs across value, risk, and constraints.

  4. Stakeholder Communication – Translating complexity into clear narratives.

The core message: AI should amplify critical thinking, not replace product judgment.

A practical exercise reinforces this approach:

  • Identify the top three unknowns for the next release (users, value, constraints).

  • Ask AI to generate ten clarifying questions for each unknown.

The objective is to surface blind spots early, improve backlog decisions, and increase the probability of delivering meaningful business outcomes.

Author: Rod Claar
0 Comments
RSS

Path Steps - Members

 
 
✓ Featured Content

Scrum Product Owner Videos

A curated playlist of specific YouTube content.

Search Results

21 Apr 2026

Engineering Agent Teams: Architecting Claude Code Agent Teams for Parallel Engineering - 2 PM Pacific Time - May 7, 2026

Author: Rod Claar CST  /  Categories: Agent Teams, AI Skills  / 

Event date: 5/7/2026 2:00 PM - 5:00 PM Export event

Register
  • Attending: 0
  • Seats: 12
  • Remaining: 12

Engineering Agent Teams May 7, 2026

Architecting Claude Code Agent Teams for Parallel Engineering — live, hands-on session May 7, 2026.

May 7, 2026 | 2:00 PM – 5:00 PM PST

Course Overview

Engineering Agent Teams is a practical, architecture-focused workshop on designing and orchestrating Claude Code agent teams to enable parallel engineering workflows. Learn how to structure specialized agents, coordinate task execution, and integrate human oversight for scalable AI-assisted development.

This session emphasizes system design patterns, role-based agent decomposition, workflow orchestration, and production considerations for high-leverage engineering teams.

Key Learning Objectives

  • ✅ Design role-based Claude Code agent architectures for parallel development
  • ✅ Decompose complex engineering work into coordinated agent workflows
  • ✅ Implement orchestration strategies for task routing and delegation
  • ✅ Integrate human-in-the-loop controls for quality and governance
  • ✅ Apply production-ready patterns for scaling AI-assisted engineering teams

The link to the GitHub repo will be shared duing the session.

Print

Number of views (543)      Comments (0)

Tags: AgileAICollaborationScum

Registration form

Enter your first name, or what you would like to be called.
Please enter your last name.
Must enter a valid email address.
Enter a text message to the organizer of the event.
Most attendees will pay this price.
USD
We will bill the company.
Enter your company name if you want them billed.
x

Search

Calendar

«April 2026»
SunMonTueWedThuFriSat
2930311234
567891011
12131415161718
19202122232425
262728293012
3456789

Upcoming events

Categories

TagCloud

Join updates / get new lessons Free

Get notified when new Product Owner lessons, templates, and examples drop—so you can apply AI in your backlog and stakeholder work right away.

Join Updates Start Step 1

Go deeper with the course Paid

Move from “cool prompts” to a repeatable PO workflow: discovery → stories → prioritization → roadmap → stakeholder comms, with proven templates.

View Course See What’s Included
Quick setup: Replace the href="#" on “Join Updates” with your email/lead form link, and replace https://example.com/course-sales-page with your course sales page.

AI or Scrum Teams

Select from the wide array of offerings in Artificial Intellegence.

Scrum & Agile Training

Learn all about Scrum and Agile with AI Tools!

Software Dev with AI

Learn about Software Design Patterns and AI development from a verteran trainer in the space, Rod Claar CST!

Copyright 2026 by Rodney Claar and AgileAIDev.com

Terms Of Use | Privacy Statement