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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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24 Feb 2026

Step 2: Requirements to Testable Stories (Fast, Not Sloppy)

Author: Rod Claar  /  Categories: AI for Experienced Devs Learning Path  /  Rate this article:
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Outcome

You will convert vague backlog items into clear, testable user stories with acceptance criteria that drive implementation and reduce rework.

Speed matters. But clarity matters more. The goal is fast precision, not fast guessing.


2.1 Why Fuzzy Requirements Create Rework

Common failure patterns:

  • Undefined actors (“user” means who?)

  • Hidden business rules

  • Missing constraints

  • No edge case thinking

  • Acceptance criteria that describe intent, not behavior

If a developer cannot write a test from it, the story is not ready.


2.2 Rewrite Using a Structured Format

Story Template

Title
Clear, outcome-focused.

User Story
As a
I want
So that

Acceptance Criteria (Given / When / Then)
Behavioral. Observable. Testable.

Edge Cases
At least three. Always.


2.3 Exercise

Original “Confusing” Backlog Item

“Improve login so it’s more secure and user friendly.”

This is ambiguous:

  • What does “secure” mean?

  • What does “user friendly” mean?

  • Who is the user?

  • What behavior changes?


Rewritten Version (Testable)

Title

Add account lockout after failed login attempts

User Story

As a registered user
I want my account protected from brute-force login attempts
So that unauthorized users cannot gain access


Acceptance Criteria

Scenario 1 – Lock after repeated failures

Given a registered user with a valid account
When the user enters an incorrect password 5 consecutive times within 15 minutes
Then the account is locked
And the user cannot log in
And a lockout message is displayed


Scenario 2 – Successful login resets counter

Given a registered user
When the user enters correct credentials
Then the failed login counter resets to zero
 

Scenario 3 – Lockout duration

Given a locked account
When 30 minutes have passed
Then the account is automatically unlocked


Edge Cases

  1. Failed attempts spread across more than 15 minutes (should not trigger lockout).

  2. Attempted login while already locked (must not increment counter).

  3. Simultaneous login attempts from multiple devices (counter must remain consistent).


2.4 Definition of “Ready”

A story is ready when:

  • The role is explicit

  • Business value is clear

  • Acceptance criteria are behavior-based

  • Edge cases are identified

  • A developer could write tests immediately

If you cannot derive tests, it is not ready.

 

Your Exercise

Take one confusing backlog item from your current board and:

  1. Rewrite the user story using the structured format.

  2. Create at least 3 Given/When/Then acceptance criteria.

  3. Identify 3 meaningful edge cases.

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