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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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Article rating: No rating

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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Article rating: No rating

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

23 Apr 2025

Former OpenAI employees urge regulators to halt company’s for-profit shift

Author: Rod Claar  /  Categories: Uncategorized  / 

by 

 

Apr 23, 20255 mins

Artificial IntelligenceGenerative AIRegulation

OpenAI’s restructuring threatens to strip its nonprofit foundation of control over development of artificial general intelligence, violating its founding purpose, say researchers, nonprofit leaders, and former employees.

 

AI

Credit: JarTee/Shutterstock.com

 

A broad coalition of AI experts, economists, legal scholars, and former OpenAI employees is urging state regulators to keep OpenAI’s nonprofit foundation in control of the company.

Their concern: that the company’s planned restructuring would abandon its legally mandated nonprofit purpose and place control of artificial general intelligence (AGI) in the hands of private investors.

“We write in opposition to OpenAI’s proposed restructuring that would transfer control of the development and deployment of artificial general intelligence (AGI) from a nonprofit charity to a for-profit enterprise.” the coalition wrote in an open letter addressed to the Attorneys General of California and Delaware, who together are the company’s primary regulators.

The letter’s signatories include Nobel laureates Daniel Kahneman and Joseph Stiglitz and AI pioneers Geoffrey Hinton and Yoshua Bengio. They argue that the proposed restructuring would violate OpenAI’s Articles of Incorporation, which explicitly state the organization is “not organized for the private gain of any person.”

The coalition’s appeal is supported by a separate amicus curiae brief filed by twelve former OpenAI employees in an ongoing federal lawsuit. Together, the letter and brief present a rare, coordinated public challenge to the internal governance of one of the world’s leading AI companies.

 

A legally binding mission

OpenAI was created in 2015 as a nonprofit with a single, far-reaching goal: to ensure that AGI benefits all of humanity. Its 2018 Charter outlines principles such as broadly distributed benefits, long-term safety, cooperative development, and technical leadership. These values were designed to steer OpenAI’s work even as it began raising external investment.

In 2019, OpenAI adopted a capped-profit model, establishing a limited partnership structure under full control of the nonprofit board. This arrangement, the letter notes, was meant to ensure that AGI development would always remain aligned with the public interest.

According to the open letter, the company is now seeking to restructure in a way that would eliminate this charitable governance by allowing private shareholders to assume control of AGI development and deployment.

 

The authors argued that this shift is inconsistent with OpenAI’s charitable purpose and violates both California and Delaware nonprofit law.

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“As the primary regulators of OpenAI, you currently have the power to protect OpenAI’s charitable purpose on behalf of its beneficiaries, safeguarding the public interest at a potentially pivotal moment in the development of this technology,” the letter said. “Under OpenAI’s proposed restructuring, that would no longer be the case.”

Former employees validate governance concerns

The amicus brief, filed in April 2025, supports claims made in the open letter by offering firsthand accounts from within OpenAI’s leadership and research teams. The twelve former employees worked at the company from 2018 to 2024 and held roles ranging from research scientists to policy leads.

 

According to the brief, internal operations at OpenAI were built around the Charter. Employee performance reviews included assessments of how individuals advanced the mission, and senior leadership—including CEO Sam Altman—frequently referenced the Charter in strategic decisions.

But the brief also reveals a gradual shift in internal dynamics. The former employees claim that key governance principles began to erode as commercial interests grew, culminating in efforts to restructure in ways that would sever nonprofit control.

“Without control, the Nonprofit cannot credibly fulfill its Mission and Charter commitments, particularly those relating to broadly distributed benefits and long-term safety,” the brief stated.

 

The coalition’s letter closed with a call for legal action. It urged the Attorneys General to demand full transparency about OpenAI’s current and proposed structures. If OpenAI is no longer operating in line with its nonprofit obligations, the authors argue, the state must act to preserve the public mission.

“You currently have the power to protect OpenAI’s charitable purpose on behalf of its beneficiaries, safeguarding the public interest at a potentially pivotal moment in the development of this technology,” the letter said.

With AGI development accelerating, the outcome of this governance battle may shape not just OpenAI’s future but the trajectory of AI oversight worldwide. At stake is the principle that technologies capable of reshaping economies, labor, and societies should remain accountable to the public—and not be controlled solely by shareholder interests.

 

Whether legal authorities respond to the coalition’s plea could mark a turning point in how the world manages the power and responsibility of frontier AI development.

 

by 

Gyana is a contributing writer.

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