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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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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

7 May 2025

How to Create a Custom GPT

How to Create a Custom GPT

Author: Rod Claar  /  Categories: AI Tools  / 

✅ Prerequisites

Before getting started, ensure you have:

  • An OpenAI account

  • Access to ChatGPT Pro (required to use GPT-4 and build custom GPTs)

  • A clear idea of your GPT’s goal, audience, and use cases

🧩 Step 1: Go to the GPT Builder

  1. Navigate to chat.openai.com

  2. Click on your profile name (bottom-left corner).

  3. Select "Explore GPTs" from the menu.

  4. Click "Create" or “+ Create a GPT” to launch the builder.

🗂 Step 2: Describe Your GPT’s Purpose

The builder begins with a conversational setup wizard that asks:

  • What do you want your GPT to do?

  • How should it respond?

  • Should it have access to tools like web browsing, file uploads, or APIs?

You’ll write a plain-language description of your assistant. For example:

“This GPT is a helpful Agile coach that answers Scrum questions, provides sprint planning tips, and gives real-world examples.”

The builder will generate an initial configuration based on your description, which you can refine.

⚙️ Step 3: Configure Instructions and Behavior

After setup, you’ll enter the "Configure" panel where you define your GPT’s:

  • Name and logo/avatar

  • Instructions (how it behaves and speaks)

  • Conversation starters (examples users see to initiate chat)

  • Knowledge (optional: upload files it can refer to)

  • Capabilities (enable/disable tools like Code Interpreter, Browsing, DALL·E image generation, etc.)

You can customize how formal, funny, or direct the GPT should be, and what it should avoid (e.g., "Don’t offer legal advice").

📁 Step 4: Add Knowledge or Tools (Optional)

To enhance your GPT:

  • Upload files: PDFs, docs, or spreadsheets that the GPT can refer to during conversation.

  • Add APIs: Use “Actions” to call external APIs if you want dynamic functionality (e.g., fetch weather, schedule events).

  • Enable tools: Like web browsing, DALL·E, or Python code execution.

🧪 Step 5: Test and Iterate

Use the live preview to:

  • Try different prompts

  • Refine the instructions and tone

  • Ensure responses match your expectations

You can keep editing and retesting until it performs as desired.

🌍 Step 6: Publish and Share

When ready:

  1. Click “Save & Publish”

  2. Choose whether to make it public, unlisted, or private

  3. Share the link or embed it on your website or app

Once published, users can access your GPT directly from a URL or find it in the GPT Store (if public).

💡 Tips for Success

  • Start simple. Focus on your GPT’s primary use case first.

  • Use system instructions to control tone, behavior, and do/don’t rules.

  • Add clear conversation starters to guide new users.

  • Iterate frequently based on real feedback.

🔧 Example Use Cases

  • A Real Estate Assistant that answers property questions

  • A Scrum Coach that provides Agile tips and class reminders

  • A Fitness Planner that builds custom workouts

  • A Legal Document Explainer for plain-language summaries


📘 Conclusion

Creating a custom GPT is an accessible and powerful way to share knowledge, automate tasks, or offer personalized services. With OpenAI’s no-code builder, you can go from concept to a working AI assistant in under an hour.

Whether for business, teaching, or fun—custom GPTs unlock creative new ways to harness AI. Start building today!

 

 

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