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Learning Path

AI for Scrum Product Owners

Built for Product Owners and product leaders who want practical, sprint-ready ways to use AI for discovery, roadmap clarity, and backlog excellence—without losing customer focus.

  • Turn fuzzy ideas into crisp requirements Use AI-assisted discovery prompts to clarify outcomes, assumptions, and constraints—fast.
  • Write better stories with fewer rework loops Generate user stories, acceptance criteria, and examples that align to the Sprint Goal and Definition of Done.
  • Improve prioritization & stakeholder alignment Use AI to synthesize feedback, spot tradeoffs, and communicate value with confidence.

Path Steps

Work through these in order. Each step links to an EasyDNNnews article/video post, with a quick exercise to apply it immediately.

Learn a simple PO-friendly mental model for where AI helps most (discovery, backlog quality, prioritization, and stakeholder communication).

!Do this exercise

List your top 3 “unknowns” for the next release (users, value, constraints). Ask AI to generate 10 clarifying questions for each.

Learn how to turn interviews, notes, and feedback into themes, risks, and opportunities you can act on in a sprint.

!Do this exercise

Paste 10–20 lines of feedback. Ask AI to cluster it into themes + propose 3 experiments you can run next sprint.

Learn how to use AI to produce verifiable criteria and concrete examples (happy path, edge cases, and failure modes).

!Do this exercise

Pick one story. Ask AI for 6 acceptance tests: 2 happy, 2 edge, 2 negative—then remove anything you can’t objectively verify.

Learn a lightweight approach to ranking work using value, risk, and effort—and how to use AI to surface tradeoffs and assumptions.

!Do this exercise

Take your top 10 backlog items. Ask AI to propose a ranked list and explain the assumptions—then adjust the assumptions, not just the order.

Learn how to generate clear status updates that focus on outcomes, decisions needed, risks, and next steps—without noise.

!Do this exercise

Ask AI to draft a 6-sentence stakeholder update: outcome, evidence, what changed, current risk, decision needed, and next checkpoint.


Reminder: To deepen these skills in a real product environment, remember to take the Certified Scrum Product Owner (CSPO) class. The course expands on these techniques and shows how to apply AI responsibly in real Scrum teams.

Path Steps - Free

24 Feb 2026

Step 1: AI Foundations for Product Owners: A Practical Mental Model

This content introduces a practical mental model for how Product Owners should use AI effectively.

Instead of focusing on tools, it emphasizes outcomes. AI delivers the most value in four areas:

  1. Discovery – Clarifying user needs and exposing assumptions.

  2. Backlog Quality – Strengthening acceptance criteria and reducing ambiguity.

  3. Prioritization – Evaluating trade-offs across value, risk, and constraints.

  4. Stakeholder Communication – Translating complexity into clear narratives.

The core message: AI should amplify critical thinking, not replace product judgment.

A practical exercise reinforces this approach:

  • Identify the top three unknowns for the next release (users, value, constraints).

  • Ask AI to generate ten clarifying questions for each unknown.

The objective is to surface blind spots early, improve backlog decisions, and increase the probability of delivering meaningful business outcomes.

Author: Rod Claar
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Path Steps - Members

 
 
โœ“ Featured Content

Scrum Product Owner Videos

A curated playlist of specific YouTube content.

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7 May 2025

How to Create a Custom GPT

How to Create a Custom GPT

Author: Rod Claar  /  Categories: AI Tools  / 

โœ… 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

๐Ÿงฉ 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.

๐Ÿ—‚ 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.

โš™๏ธ 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").

๐Ÿ“ 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.

๐Ÿงช 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.

๐ŸŒ 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).

๐Ÿ’ก 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.

๐Ÿ”ง 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


๐Ÿ“˜ 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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