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Path Steps

Follow these steps in order. Each one links to an EasyDNNnews article/video and gives you a quick, practical takeaway.

You’ll learn how to frame AI as a teammate that supports Scrum events and backlog work without replacing judgment or collaboration.
Do this exercise: Write a 3-sentence “AI usage policy” for your team (what you will use AI for, what you won’t, and what must be reviewed by a human).
You’ll learn repeatable prompt patterns to generate stories with clearer intent, constraints, and acceptance criteria.
Do this exercise: Take one messy request and prompt AI to produce (a) a user story, (b) 5 acceptance criteria, and (c) 3 key questions for the PO.
You’ll learn how to generate “plan options” (not commitments) and improve shared understanding of scope and dependencies.
Do this exercise: Ask AI for 2 sprint goal options based on your top backlog items, then pick one as a team and adjust wording together.
You’ll learn facilitation prompts that help teams extract insights, turn feedback into actions, and avoid “retro theatre.”
Do this exercise: Feed AI 5 bullet facts from the sprint and ask for (a) patterns, (b) 3 improvement experiments, and (c) 1 metric per experiment.
You’ll learn how to convert your best prompts and practices into a lightweight working agreement the team can actually follow.
Do this exercise: Create a “Prompt Library” page with 5 prompts: refinement, story writing, planning, review, retro—each with input/output examples.
 

Learning Path - Free

24 Feb 2026

Step 1: What AI Can (and Can’t) Do for Scrum Teams

AI is a productivity amplifier—not a Product Owner, not a Scrum Master, and not a Developer.

Used correctly, it accelerates learning, drafting, summarizing, and exploring options. Used poorly, it replaces thinking with automation theater.

This step helps your team position AI as a supporting teammate, not a decision-maker.

Author: Rod Claar
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24 Feb 2026

Step 2: Prompts That Produce Better User Stories

AI can help—but only if the prompt is structured.

This step introduces repeatable prompt patterns that improve:

  • Intent clarity

  • Constraints visibility

  • Acceptance criteria quality

  • PO alignment

Author: Rod Claar
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24 Feb 2026

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

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.

Author: Rod Claar
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24 Feb 2026

Step 4: Sprint Planning Acceleration

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.

Author: Rod Claar
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Learning Path - Member

 
 
✓ Featured Content

AI for Scrum and Agile Teams
Videos

A curated playlist of specific YouTube content.

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20 Jan 2026

Effective Scrum Developer

Author: SuperUser Account  /  Categories: Scrum & Agile Training  /  Rate this article:
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Event date: 1/20/2026 - 1/21/2026 Export event

This course is aimed at helping software development professionals and teams be more effective when implementing Scrum and other agile software development methodologies. In an effort to raise the effectiveness of Scrum, the Scrum Alliance has created the Certified Scrum Developer program. This course is designed to deliver the core Agile Development Practices Learning Objectives of that program.

Audience

This course is intended for professional software developers who are on a Scrum team and want to understand how Scrum and agile engineering practices are applied and how they affect their role in the team. The participant should have an understanding of Scrum preferably from taking our Certified ScrumMaster Workshop or a similar course.

The Approach

One of the agile practices commonly used by Scrum teams is the breakdown of requirements into User Stories. This course was designed to meet this user story:

As a Developer on a Scrum team, I want to use Agile Engineering Practices, so that my team delivers business value with Production Quality Software in every Sprint.

To meet this goal this course meets the Scrum Alliance Learning Objectives for the Certified Scrum Developer Program in these areas:

Collaboration

The teamwork and collaboration on a Scrum team

Architecture and Design

The principles that drive code quality and support quick delivery of business value from testable, understandable and correct code.

Test Driven Development

Using the practice of Test First to help ensure the requirements are well understood and automated tests can be added to the build process to validate the system in the future.

Refactoring

The process of improving the design of software to increase the understandability and testability of the code and allow for easy and safe additions to the system in the future.

Continuous Integration

The process of creating and running automated build and test cycles as new code is checked in so that cross-application issues are discovered as soon as possible.

Course Outline

The course is structured around these user stories that provide the goals for each section:

The Developer Role In Scrum

As a Developer I want to understand my role on a Scrum Team So that the team is successful in meeting Sprint and Release goals.

Test First

As a Developer I want to clearly understand the story So that I can deliver the right functionality.

Writing Unit Tests 

As a developer I want to write effective Unit Tests So that I will know when the code is done.

Agile Analysis for Developers

As a Developer I want quickly and accurately break down requirements So that the work of delivering the business value can be planned effectively.

What is Quality Code?

As a Developer I want to write high quality code and be able to evaluate code quality So that the project is not slowed down in the future by poor quality code.

Scrum Teamwork

As a Developer I want to work collaboratively and efficiently with the other members of my Scrum team So that the Sprint and Release Goals are achieved.

Test Driven Development

As a Developer I want to write small tests then write the code to pass the tests and clean up the code So that I can work quickly and efficiently.

Agile Architecture

As a Developer I want to create software components that are maintainable and efficient So that the product will have a long life and adapt to new requirements easily.

Talking About Design

As a Developer I want to have a common language to use when discussing application design with other developers So that we can quickly and accurately describe the system design.

Refactoring

As a Developer I want to clean up my new code safely So that the new code is flexible and easy to understand.

Automated Refactoring

As a Developer I want to use automatic tools to Refactor So that I can concentrate on delivering the functionality.

Integrating Often

As a Developer I want to verify that my code works in the system and does not break the system as often as possible So that issues are discovered quickly and the project is almost always in a state that can be demonstrated.

Continuous Integration

As a Developer I want use a build system that automatically builds the system and runs all automated tests So that integrating often is as easy as possible.

Class Price$899.00
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Author: Rod Claar
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