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Hands-on Workshop

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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Rod Claar

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

By the end of this step, you will have a repeatable AI workflow that produces consistent, reviewable outputs and slots cleanly into your existing development practices (branching, PRs, CI, code review).

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.

Previous Article Step 1 — What Patterns Really Solve (and When They Don’t)
Next Article Step 1: Set Up Your AI-Assisted Workflow
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