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Learning Path

AI for Scrum Masters

Built for Scrum Masters (and Agile leaders) who want practical, ethical ways to use AI to improve facilitation, transparency, and delivery outcomes.

  • Run stronger Scrum Events using ready-to-use prompts for planning, refinement, review, and retrospectives—without losing the human element.

  • Improve forecasting and delivery predictability by using AI to surface risks, trends, and actionable insights from team signals.

  • Apply clear guardrails for responsible use—privacy, integrity, and bias awareness—so AI helps your team without creating new problems.

Learning Path AI for Scrum Masters 5–10 steps

Path Steps: AI-for-ScrumMasters

Work through these steps in order. Each step links to a specific EasyDNNnews article/video and gives you a quick exercise to turn the idea into a repeatable Scrum Master habit.

1
Step 1: Set up your AI “Scrum Master Copilot”

You’ll learn how to create a simple prompt kit that makes your facilitation consistent, fast, and trustworthy.

Do this exercise

Create a “Scrum Event Brief” prompt that takes context + agenda + desired outcomes and returns a facilitation plan.

3
Step 3: Sprint planning that reduces over-commitment

You’ll learn a lightweight way to use AI to surface risk, dependencies, and hidden work before the Sprint starts.

Do this exercise

Paste a draft Sprint Goal + top items and ask AI: “What could cause us to miss this goal and what mitigations help?”

4
Step 4: Daily Scrum prompts that unblock faster

You’ll learn how to use short, consistent prompts to identify blockers, clarify next steps, and protect the Sprint Goal.

Do this exercise

After the Daily, summarize “top 3 risks + next 3 actions” using AI, then ask the team to validate it in 60 seconds.

5
Step 5: Metrics, forecasting, and “what’s really going on”

You’ll learn how to use AI to interpret trends (cycle time, throughput, predictability) and generate plain-English insights.

Do this exercise

Give AI your last 3 sprints’ delivered work + spillover, then ask: “What pattern do you see and what experiment would improve it?”

6
Step 6: Retrospectives that produce better experiments

You’ll learn how to use AI to detect themes, propose root-cause questions, and craft experiments with crisp success signals.

Do this exercise

Paste retro notes (anonymized) and ask AI for 3 experiment options; pick one with a measurable success signal for next sprint.

7
Step 7: Guardrails, ethics, and “safe AI” team habits

You’ll learn practical guardrails for privacy, bias, and accuracy—so AI helps the team without creating risk.

Do this exercise

Write a 6-bullet “AI Working Agreement” for the team (what’s allowed, what’s not, and what must be reviewed by humans).

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Learning Path - Free

24 Feb 2026

Step 1: Set Up Your AI “Scrum Master Copilot"

The goal is simple:

Create a reusable prompt that turns context + agenda + desired outcomes into a clear, structured facilitation plan.

This reduces variability, increases consistency, and improves trust in your facilitation.

You are building a repeatable system, not a one-off prompt.

Author: Rod Claar
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24 Feb 2026

Step 2: Backlog Refinement with AI (Without Losing Collaboration)

The objective is to use AI to:

  • Clarify intent

  • Improve acceptance criteria

  • Suggest smarter vertical slices

  • Reduce cognitive load before discussion

The collaboration still belongs to the team.

AI proposes.
The team decides.

Author: Rod Claar
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24 Feb 2026

Step 3: Sprint Planning That Reduces Over-Commitment

Over-commitment rarely comes from optimism alone.

It usually comes from:

  • Hidden dependencies

  • Unseen complexity

  • Ambiguous acceptance criteria

  • Capacity blind spots

  • Integration risk

AI can help surface these before commitment — without replacing team judgment.

The principle: interrogate the plan before you promise it.

Author: Rod Claar
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Learning Path - Members

 
 
✓ Featured Content

ScrumMaster Videos

A curated playlist of specific YouTube content.

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8 Feb 2026

AI For Scrum Product Owners - February 17. 2026

Author: Rod Claar CST  /  Categories: AI for Scrum Product Owners  /  Rate this article:
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Event date: 2/17/2026 9:00 AM Export event

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AI for Scrum Product Owners

Use GenAI as a practical co-pilot for product work: refine stories and acceptance criteria, improve backlog ordering, sharpen stakeholder communication, and strengthen product strategy with AI-assisted insights.

Who it’s for

Product Owners, Product Managers, and agile practitioners who want to streamline PO workflows with AI—including Business Analysts, Project Managers transitioning to agile, Scrum Masters supporting Product Owners, and agile teams integrating AI into day-to-day delivery.

Enrollment
Investment
$299

Live virtual, interactive (instructor-led)

 

Private In-Person (up to 18 students + travel): $499

Format
Live Virtual

Hands-on workshop with real-time instruction and collaboration

Duration

4 hours (half-day workshop)

Delivery

Live virtual (instructor-led)

Pacing

Single-session workshop

Outcomes
  • Use prompt-engineering patterns to generate PO-ready artifacts: story drafts, acceptance criteria, release notes, and stakeholder updates.
  • Improve backlog ordering with AI-assisted discovery: clarify outcomes, uncover hidden dependencies, and surface risk/assumptions.
  • Strengthen product strategy using AI for market/competitor synthesis, roadmap narrative, and hypothesis-driven planning.
  • Run higher-signal Scrum events with AI support (planning, reviews, retros): better inputs, tighter facilitation assets, cleaner outputs.
  • Apply guardrails for responsible AI use (privacy, bias, transparency) when working with product, customer, and team information.

 

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Go deeper with the course

Step-by-step instruction, templates, and guided practice to help you apply AI across Scrum events, metrics, forecasting, and team coaching—without losing the human collaboration that makes Scrum work.

Go deeper with the course See syllabus
Tip: If you’re rolling this out to a team, start with the free lessons for quick wins, then use the course to standardize prompts, guardrails, and facilitation patterns across the organization.

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