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Learning Path

Certified Scrum Product Owner: From Vision to Value

Built for Product Owners and Product Managers who want a practical, repeatable way to turn ideas into outcomes—without losing alignment, clarity, or momentum.

  • Create a clear product direction that teams can execute without constant rework.
  • Build and refine a backlog that connects customer needs to measurable value.
  • Improve delivery decisions with better slicing, prioritization, and stakeholder alignment.

Path Steps

Step-by-step: From Vision to Value

Work through these steps in order. Each step links to a specific article or video post (EasyDNNnews item), includes a one-sentence focus, and (optionally) a small exercise to apply it immediately.

1

You’ll learn how to express a clear product direction that aligns stakeholders and guides real backlog decisions.

Do this exercise: Write a one-sentence vision + three measurable outcomes you want in 90 days.
2

You’ll learn how to clarify who you serve and what decisions they must make—so your backlog has purpose.

Do this exercise: List 2 primary user types and the top 3 “jobs” they need done.
3

You’ll learn a practical slicing approach to create small, testable items that still deliver real value.

4

You’ll learn a simple prioritization model that makes tradeoffs explicit and reduces thrash.

Do this exercise: Score your top 5 backlog items by Value, Risk, and Learning (1–5).
5

You’ll learn how to run refinement so teams leave with shared understanding—not just more tickets.

6

You’ll learn lightweight stakeholder habits that keep direction aligned while protecting team focus.

7

You’ll learn simple metrics that show whether you’re improving value delivery—not just shipping more.

Steps - Free

24 Feb 2026

Step 1: Start with product vision that teams can actually execute

If the team cannot use it to prioritize backlog items, it is not actionable.

Author: Rod Claar
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24 Feb 2026

Step 2: Identify customers, users, and the decisions that matter

If you cannot name:

  • Who you serve

  • What they are trying to decide

  • What “job” they need completed

Your backlog will drift.

Author: Rod Claar
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24 Feb 2026

Step 3: Turn outcomes into backlog slices (without giant stories)

If a backlog item cannot be completed inside a Sprint with clear acceptance criteria, it is not sliced—it is deferred complexity.

The goal is not smaller tasks.
The goal is small increments of validated outcome.

Author: Rod Claar
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24 Feb 2026

Step 4: Prioritize with Confidence: Value, Risk, and Learning

Prioritize with Confidence: Value, Risk, and Learning

This step introduces a simple, explicit prioritization model based on three dimensions: Value, Risk, and Learning (V-R-L).

Instead of relying on vague “priority” discussions, teams score each backlog item (1–5) on:

  • Value — business impact delivered

  • Risk — uncertainty reduced or exposed

  • Learning — validated insight gained

Making these criteria visible reduces backlog thrash, clarifies trade-offs, and exposes hidden assumptions. It also encourages earlier risk burn-down and faster validation of uncertainty.

The exercise requires scoring the top five backlog items and reviewing the ranking for balance. The goal is not mathematical precision, but strategic clarity.

AI can strengthen this process by stress-testing assumptions, surfacing overlooked risks, and simulating alternative rankings—while leaving final decisions to human judgment.

The broader outcome is disciplined, transparent prioritization aligned with strategy rather than habit.

For deeper capability, the next step is the AI for Scrum Product Owners class, which expands on using AI to refine backlog items, quantify value hypotheses, and improve decision quality.

Author: Rod Claar
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Steps - Members

 
 
✓ Featured Content

Scrum Product Owner Videos

A curated playlist of specific YouTube content.

Search Results

8 Jun 2026

AI for Scrum Product Owners and Product Managers - June 23, 2026

AI for Scrum Product Owners and Product Managers - June 23, 2026

Event date: 6/23/2026 9:00 AM - 1:00 PM Export event

Register
  • Attending: 0
  • Seats: 12
  • Remaining: 12
  • Price: $299.00
$299.00

A practical, hands-on 4-hour live course for Scrum Product Owners, Product Managers, Agile Coaches, and Team Leads. This course gives you the AI skills you need to sharpen backlog refinement, sprint planning, sprint review, and product decision-making — without replacing your judgment, accountability, or product ownership.

No prior AI experience is required. Every technique is grounded in real Scrum and Agile practice and is ready to use in your next sprint.

Course Modules:

Module 1 — AI as Assistant, Not Product Owner Replacement Understand where AI fits in the product role, where it does not, and how to keep accountability firmly in human hands.

Module 2 — Prompt Patterns for the Full Product Cycle Learn prompt structures for product planning, sprint planning, sprint review, dependency analysis, and meeting preparation.

Module 3 — AI-Assisted Product Backlog Item Refinement Use AI to draft, split, and improve user stories, then apply your product knowledge to make them sprint-ready.

Module 4 — AI-Assisted Product Backlog Ordering Let AI surface trade-offs, risks, and dependencies — then own the final prioritization decision yourself.

Module 5 — Ethics, Privacy, Hallucination Control, and Human Judgment Understand AI risks in a product context and build habits that protect your team, your data, and your decision-making integrity.

Module 6 — Hands-On Scenario Lab Apply everything in a guided lab using realistic product scenarios with group debrief.

What Is Included:

Full 4-hour live instructor-led session
All prompt templates used in the course

Hands-on scenario lab
Live Q&A with the instructor throughout the session
Certificate of Completion from AgileAIDev.com
No required software purchases

Who Should Attend:

Scrum Product Owners
Product Managers working in Agile or Scrum teams
Agile Coaches Team Leads with product responsibilities

Registration:

Selelect the insance of this class and complete the registration form to reserve your seat. Sessions are limited to 12 participants. Registration closes when the session is full or 24 hours before the session start time.

Cancellation Policy: Cancellations made 72 or more hours before the session are eligible for a full refund or transfer to a future session. Cancellations made fewer than 72 hours before the session may be transferred to a future session but are not eligible for a refund.

Questions: rod@AgileAIDev.com

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Author: Rodney Claar
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