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Scrum Essentials - May 1, 2026

Build foundational Scrum knowledge in this focused half-day workshop on May 1, 2026. Gain practical insight into roles, events, and value delivery.

Rod Claar 0 1806 Article rating: No rating

Scrum Essentials May 1, 2026

Build foundational Scrum knowledge in this focused half-day workshop on May 1, 2026. Gain practical insight into roles, events, and value delivery.

Register

Lean Software Development June 5. 2026

A live, intensive workshop on Lean principles applied to modern software delivery for speed, quality, and flow.

Rod Claar 0 1662 Article rating: No rating

Lean Software Development June 5, 2026

April 16, 2026 | 9:00 AM – 5:00 PM PST. A live, intensive workshop on Lean principles applied to modern software delivery for speed, quality, and flow.

 

Register

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.

Rod Claar 0 1496 Article rating: No rating

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.

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Step 2: Prompts That Produce Better User Stories

Most weak user stories are not caused by bad teams. They are caused by vague inputs.

Rod Claar 0 1372 Article rating: No rating

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

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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 0 1457 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.

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Scrum & Agile Training

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Software Dev with AI

Learn about Software Design Patterns and AI development from a verteran trainer in the space, Rod Claar CST!

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