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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 1 — What Patterns Really Solve (and When They Don’t)

Author: Rod Claar  /  Categories: Design Patterns Learning Paths  /  Rate this article:
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What Is a Design Force?

A design force is a structural pressure acting on your system.

It usually comes from one of five sources:

Source Typical Force
Business Frequent change, feature variation
Technical Integration boundaries, performance constraints
Organizational Multiple teams touching the same code
Quality Testability, reliability, observability
Evolution Extensibility, backward compatibility

Forces are not visible in the code structure alone.
They appear as friction in daily work.


How to Spot Recurring Design Forces

1. Look for Repeated Pain

Is the same complaint surfacing across sprints?

  • “Tests break whenever we refactor.”

  • “Adding a new option requires editing five files.”

  • “We can’t change this without fear.”

Recurring pain signals a structural force, not an isolated defect.

If the issue appears in multiple modules, it is likely systemic.


2. Track Change Frequency

Open version history.

Ask:

  • Which files change together?

  • Which classes change most often?

  • What kind of change is common—behavioral variation or structural modification?

If behavior varies frequently but the structure remains stable, the force is likely variation under stable abstraction → candidate for Strategy or polymorphism.

If object creation logic keeps changing, the force may be creation volatility → candidate for Factory patterns.

Change patterns reveal design forces.


3. Observe Conditional Explosion

If you see:

  • Large if/else chains

  • Switch statements growing every release

  • Flags controlling behavior

You may be experiencing the force of behavioral variability.

The force is not “too many conditionals.”
The force is: “We need to support expanding variation without modifying stable code.”

That distinction matters.


4. Examine Test Friction

When tests are brittle, slow, or integration-heavy, ask:

  • Are dependencies hard-coded?

  • Are side effects difficult to isolate?

  • Does state leak across boundaries?

The underlying force is usually need for isolation vs. direct coupling.

Dependency Injection, Ports & Adapters, or Facade may be relevant—but only if isolation is truly required.


5. Look for Ripple Effects

When a small change cascades across multiple files:

  • Tight coupling is present.

  • The force is independent evolution vs. shared structure.

Observer, Mediator, or event-driven patterns can address this—but they introduce indirection costs.


6. Identify Hidden Costs

Sometimes the force is not functional—it is cognitive.

Symptoms:

  • Developers hesitate to modify code.

  • Onboarding time is long.

  • Debugging requires tribal knowledge.

The force may be comprehensibility vs. abstraction depth.

In this case, introducing more patterns may worsen the system.


When Patterns Do Not Help

Patterns are counterproductive when:

  • The variability is hypothetical.

  • The system is small and stable.

  • The cost of indirection exceeds the benefit of flexibility.

  • The team lacks shared understanding of the abstraction.

Over-application leads to:

  • Accidental architecture

  • Indirection without need

  • Slower change, not faster

Patterns solve forces.
They do not create clarity by themselves.


Force Identification Framework

Before choosing a pattern, answer these questions:

  1. What recurring tension are we experiencing?

  2. How often does this tension appear?

  3. What change is currently expensive?

  4. What cost are we willing to introduce?

  5. Is this force likely to persist?

If you cannot answer these precisely, do not introduce structural change.


Exercise

Choose one pain in your codebase:

  • Test brittleness

  • Tight coupling

  • Slow feature change

  • Duplication

  • Complex branching

Now write one precise sentence:

“Because we need ______, we are experiencing ______.”

Examples:

  • “Because we directly instantiate infrastructure dependencies, our tests are brittle and slow.”

  • “Because business rules vary by region, adding new cases increases risk and modification scope.”

  • “Because services call each other synchronously with shared state, small changes create ripple effects.”

This sentence defines the force.
From there, you evaluate patterns as trade-offs—not rules.


Closing Principle

Patterns are decision frameworks under pressure.

Mastery is not knowing many patterns.
It is recognizing when a force justifies their cost.

Architectural maturity begins with naming the force.

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