Hello everyone!
I have created a short video on the current state of the version of the PBM course.
I also asked NoteBookLM to summarize the video:
What You'll Learn & Achieve:
Master the basics of Generative AI and Large Language Models (LLMs) to effectively use them in your professional and private environments.
Dive deep into Prompt Engineering (also referred to as Context Engineering) to understand how to talk to models and get "good stuff" back, going beyond the "garbage in, garbage out" maxim.
Discover how to customize AI models by tweaking their tone, instructing them on what not to do, and even setting up custom behaviors, like delivering three thought-provoking questions at the end of a response.
Understand the power of GPTs (custom personalized chatbots), also known as "gems" in Gemini, and learn to configure and build your own with tailored instructions, behaviors, and optional tools or APIs.
Leverage Deep Research Reports from tools like ChatGPT and Gemini for profound market insights, as demonstrated through the restructuring and pivot of the startup Health XYZ from a B2C marketplace to a B2B offering.
Apply AI to analyze patterns in unstructured data from sources like user interviews, support issues, Product Requirement Documents (PRDs), and team artifacts.
Learn to populate product canvases and frameworks, such as Pavo's product strategy canvas or user story mapping, with AI-based insights, ensuring strategic alignment down to the tactical level.
Refine product backlog item creation and hypothesis formulation, aligning them with existing information and validating them effectively.
Explore ethical AI considerations and practical approaches for employing generative AI responsibly in your product work.
Gain insights into using professional AI accounts, as many disappointments with LLMs stem from using free models without proper prompting knowledge.
This online class is built around the practical use case of a rudimentary startup called Health XYZ, demonstrating a real-world AI application in product management. It includes how AI significantly enhanced the startup's narrative, personas, product strategy, and PRDs.
The focus is not on outsourcing thinking, but on enhancing your proficiency and enabling AI to act as an "endlessly patient, very knowledgeable" entity that can critique your designs and ideas.
Now you understand why version 2 of my Advanced Product Backlog Management course, launching on July 15 at $99, includes AI practices: They are no longer optional but mandatory.
👉 View complete course details and reserve your spot here. (By the way, the price increases to $169 on July 22.)
📅 July 2, 2025, at 6:30 pm CEST:
The First Webinar Inspired by the Course: Hands-on Agile #68: How to Analyze Unstructured Team Interviews with AI.
Summary:
The Advanced Product Backlog Management course is designed to provide you with practical, battle-tested tools to enhance your value delivery. It’s not just about keeping stakeholders aligned or managing a backlog — it’s about using these things to drive actual results. Here’s a reminder of what you’ll learn:
Align Stakeholders and Teams: Build shared ownership of your Product Backlog by integrating strategy, roadmaps, and customer insights to foster collaboration.
Master Advanced Tools: Learn to prioritize effectively and use tools like user story mapping, product roadmaps, and discovery frameworks to maximize the value delivered to customers, reflected in the composition and ordering of the Product Backlog.
Master generative AI: Accelerate synthesis of customer feedback and stakeholder requests while maintaining strategic control over alignment decisions.
Say Goodbye to Anti-Patterns: Identify and resolve common Product Backlog pitfalls to ensure transparency and alignment with organizational goals.
Drive Outcomes Over Output: Learn practices that turn your backlog into a strategic asset focused on delivering meaningful customer and business results.
Thanks for your patience and understanding. I know this course will be a game-changer for you, and I’m excited to share it soon.
I look forward to hearing your feedback and keeping you updated as we approach the launch date.
Best,
Stefan
Share this post