AI General Knowledge

Ready to Transform Your Scrum Team with AI?

Join the Generative AI for Scrum Teams Workshop

Stop wondering how AI fits into your Agile workflow. In this hands-on workshop, you'll learn exactly how to integrate AI tools into every sprint ceremony, backlog refinement session, and delivery cycle—without disrupting the Scrum framework that already works for your team.

What You'll Master:

AI-powered user story creation and refinement techniques
Automated test generation and code review strategies
Sprint planning acceleration with AI assistance
Real-world prompt engineering for development teams
Ethical AI integration within Scrum values

Perfect for: Scrum Masters, Product Owners, Development Teams, and Agile Coaches who want to boost productivity while maintaining team collaboration and quality.

Taught by Rod Claar, Certified Scrum Trainer with 30+ years of development experience and specialized AI-Enhanced Scrum methodology.

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Step 3: Backlog Refinement with AI (Without Losing the “Why”)

AI can accelerate backlog refinement. It can also quietly shift focus from outcomes to output. This step ensures AI strengthens clarity and flow—without diluting product intent.

Rod Claar / Tuesday, February 24, 2026 0 94 Article rating: No rating

The Core Risk

When teams use AI in refinement, a common failure mode appears:

Stories get cleaner
Acceptance criteria get longer
Technical detail increases
Business intent becomes less visible

Scrum optimizes for value delivery, not documentation density.

AI must support the “why” behind the work.

Sprint Planning often slows down when the team debates wording, scope framing, or sequencing. AI can accelerate preparation—without turning planning into automation. The objective is to generate plan options, not commitments.

Rod Claar / Tuesday, February 24, 2026 0 97 Article rating: No rating

The Key Principle

AI should propose:

Possible Sprint Goals
Possible scope groupings
Possible dependency flags

The team still decides:

What to commit to
What fits capacity
What aligns to product strategy

AI drafts.
The team commits.

A product vision is not a slogan. It is a decision-making filter.

Rod Claar / Tuesday, February 24, 2026 0 70 Article rating: No rating

If the team cannot use it to prioritize backlog items, it is not actionable.

Most backlogs fail for one reason: They optimize for features instead of decisions.

Rod Claar / Tuesday, February 24, 2026 0 67 Article rating: No rating

If you cannot name:

Who you serve
What they are trying to decide
What “job” they need completed

Your backlog will drift.

Large stories hide risk. Small slices expose learning.

Rod Claar / Tuesday, February 24, 2026 0 59 Article rating: No rating

If a backlog item cannot be completed inside a Sprint with clear acceptance criteria, it is not sliced—it is deferred complexity.

The goal is not smaller tasks.
The goal is small increments of validated outcome.

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AI General Knowledge Videos

Ready to Transform Your Scrum Team with AI?

What You'll Master:

Search Results

Step 3: Backlog Refinement with AI (Without Losing the “Why”)

AI can accelerate backlog refinement. It can also quietly shift focus from outcomes to output. This step ensures AI strengthens clarity and flow—without diluting product intent.

The Core Risk

Step 4: Sprint Planning Acceleration

Sprint Planning often slows down when the team debates wording, scope framing, or sequencing. AI can accelerate preparation—without turning planning into automation. The objective is to generate plan options, not commitments.

The Key Principle

Step 1: Start with product vision that teams can actually execute

A product vision is not a slogan. It is a decision-making filter.

Step 2: Identify customers, users, and the decisions that matter

Most backlogs fail for one reason: They optimize for features instead of decisions.

Step 3: Turn outcomes into backlog slices (without giant stories)

Large stories hide risk. Small slices expose learning.

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AI General Knowledge Videos

Ready to Transform Your Scrum Team with AI?

What You'll Master:

Search Results

Step 3: Backlog Refinement with AI (Without Losing the “Why”)

AI can accelerate backlog refinement. It can also quietly shift focus from outcomes to output. This step ensures AI strengthens clarity and flow—without diluting product intent.

The Core Risk

Step 4: Sprint Planning Acceleration

Sprint Planning often slows down when the team debates wording, scope framing, or sequencing. AI can accelerate preparation—without turning planning into automation. The objective is to generate plan options, not commitments.

The Key Principle

Step 1: Start with product vision that teams can actually execute

A product vision is not a slogan. It is a decision-making filter.

Step 2: Identify customers, users, and the decisions that matter

Most backlogs fail for one reason: They optimize for features instead of decisions.

Step 3: Turn outcomes into backlog slices (without giant stories)

Large stories hide risk. Small slices expose learning.

Search

Calendar

Upcoming events Events RSSiCalendar export

Categories

TagCloud

Tags

AI or Scrum Teams

Scrum & Agile Training

Software Dev with AI

About

Upcoming events Events RSS iCalendar export