Hello everyone!
How do you evaluate Deep Research reports?
Most accept the first output, often leaving value on the table. Instead, systematically prompt for gaps: missing perspectives, unexamined assumptions, alternative interpretations, and writing style. The goal isn't perfection; it's optimization for your decision context. I'll show you how in under 15 minutes.
📺 Watch Me Fix a Real AI Report from the Course.
What the AI Part of the PBM v2 Course Will Cover
You will have access to several hours of video lessons, exercises, quizzes, helpful GPTs, all sessions, and documents I used to produce the generative AI part of the course.
📺 Watch the introductory video here!
In the AI part, we will cover, for example:
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.
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.
Best,
Stefan
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