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Generative AI for Scrum Teams

Who it’s for: Scrum Masters, Product Owners, and Agile teams who want to use Generative AI safely to accelerate planning, facilitation, and delivery.

Outcomes

  • Create sprint-ready user stories faster with AI-assisted refinement (without losing clarity).
  • Run more effective Scrum events using repeatable prompt templates and facilitation checklists.
  • Add lightweight guardrails to reduce risk (data leakage, hallucinations, and inconsistent outputs).

Your Learning Path

Follow these steps to master Generative AI for Scrum Teams

  1. 1

    Understanding AI Fundamentals for Scrum

    Learn the core AI concepts every Scrum team member needs to know before diving into practical applications.

    Do this exercise
  2. 2

    AI-Assisted User Story Creation

    Discover how to use AI to draft, refine, and validate user stories that are sprint-ready and stakeholder-approved.

    Do this exercise
  3. 3

    Prompt Templates for Sprint Planning

    Get repeatable prompt templates to streamline sprint planning, capacity forecasting, and backlog refinement.

    Do this exercise
  4. 4

    Facilitating Scrum Events with AI

    Learn how to use AI to prepare agendas, generate retrospective insights, and capture action items efficiently.

  5. 5

    Building AI Guardrails for Your Team

    Implement lightweight policies to prevent data leakage, hallucinations, and ensure consistent, trustworthy AI outputs.

    Do this exercise
  6. 6

    AI for Product Backlog Management

    Use AI to prioritize backlog items, identify dependencies, and align work with strategic product goals.

  7. 7

    Measuring AI Impact on Team Velocity

    Track how AI adoption affects your team's velocity, quality, and overall delivery predictability.

    Do this exercise

Steps - Free

16 Apr 2026

Author: Rod Claar
0 Comments

24 Feb 2026

Step 1: Understanding AI Fundamentals for Scrum

Before using AI in backlog refinement, Sprint Planning, or testing, every Scrum team member should understand a few core concepts.

Without shared understanding, misuse is inevitable.

Author: Rod Claar
0 Comments

24 Feb 2026

Step 2: AI for Product Owners: Turn Customer Feedback Into Sprint Experiments

Customer & Stakeholder Discovery Prompts

This content explains how Product Owners can use AI to convert raw customer and stakeholder feedback into actionable sprint work.

Instead of treating interviews and notes as static documentation, the approach reframes them as structured inputs for rapid synthesis.

The model follows four steps:

  1. Input – Gather interviews, support tickets, surveys, and call notes.

  2. Clustering – Use AI to group feedback into meaningful themes.

  3. Risk Framing – Identify usability, adoption, and value risks.

  4. Experiment Design – Translate insights into 2–3 testable sprint experiments.

A practical exercise reinforces the method:

  • Paste 10–20 lines of real feedback into AI.

  • Ask it to cluster themes, surface risks, and propose three experiments for the next sprint.

The core principle: AI accelerates synthesis, enabling continuous learning and faster validation within the Scrum cadence.

Author: Rod Claar
0 Comments
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Steps - Members

 
 
✓ Featured Content

Generative AI Videos

A curated playlist of specific YouTube content.

Search Results

8 Jun 2026

AI for Scrum Product Owners and Product Managers - June 23, 2026

AI for Scrum Product Owners and Product Managers - June 23, 2026

Event date: 6/23/2026 9:00 AM - 1:00 PM Export event

Register
  • Attending: 0
  • Seats: 12
  • Remaining: 12
  • Price: $299.00
$299.00

A practical, hands-on 4-hour live course for Scrum Product Owners, Product Managers, Agile Coaches, and Team Leads. This course gives you the AI skills you need to sharpen backlog refinement, sprint planning, sprint review, and product decision-making — without replacing your judgment, accountability, or product ownership.

No prior AI experience is required. Every technique is grounded in real Scrum and Agile practice and is ready to use in your next sprint.

Course Modules:

Module 1 — AI as Assistant, Not Product Owner Replacement Understand where AI fits in the product role, where it does not, and how to keep accountability firmly in human hands.

Module 2 — Prompt Patterns for the Full Product Cycle Learn prompt structures for product planning, sprint planning, sprint review, dependency analysis, and meeting preparation.

Module 3 — AI-Assisted Product Backlog Item Refinement Use AI to draft, split, and improve user stories, then apply your product knowledge to make them sprint-ready.

Module 4 — AI-Assisted Product Backlog Ordering Let AI surface trade-offs, risks, and dependencies — then own the final prioritization decision yourself.

Module 5 — Ethics, Privacy, Hallucination Control, and Human Judgment Understand AI risks in a product context and build habits that protect your team, your data, and your decision-making integrity.

Module 6 — Hands-On Scenario Lab Apply everything in a guided lab using realistic product scenarios with group debrief.

What Is Included:

Full 4-hour live instructor-led session
All prompt templates used in the course

Hands-on scenario lab
Live Q&A with the instructor throughout the session
Certificate of Completion from AgileAIDev.com
No required software purchases

Who Should Attend:

Scrum Product Owners
Product Managers working in Agile or Scrum teams
Agile Coaches Team Leads with product responsibilities

Registration:

Selelect the insance of this class and complete the registration form to reserve your seat. Sessions are limited to 12 participants. Registration closes when the session is full or 24 hours before the session start time.

Cancellation Policy: Cancellations made 72 or more hours before the session are eligible for a full refund or transfer to a future session. Cancellations made fewer than 72 hours before the session may be transferred to a future session but are not eligible for a refund.

Questions: rod@AgileAIDev.com

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