Week 25 · learning day 3
PM applications
Introduction to AI in Product Management · 45–60 minutes
Today’s outcomes
- Explain pm applications in the context of introduction to ai in product management.
- Analyse a product decision using the source outcome rather than intuition alone.
- Produce a reusable section of an ai opportunity brief.
Source trace
W25-O03Understand how to integrate AI into product strategies.
Core lesson
Make the choice inspectable
PM applications matters when it changes a real allocation of attention, money, time, or delivery capacity. AI belongs in strategy when its capabilities improve an important user outcome.
Start by naming the decision and the uncertainty around it. Separate evidence from assumptions, compare at least one alternative, and state what would make you revise the choice.
The source outcome for today is: Understand how to integrate AI into product strategies.
What decision will pm applications improve, what evidence is sufficient for that decision, and what is the cost of being wrong?
Worked example
PM applications in practice
For an agent-assist product for service teams, the product manager must analyse a choice about pm applications. The team records the target user and outcome, the evidence currently available, the strongest alternative, and the next reversible test. The recommendation is written as a choice with a reason—not as a list of features.
Do the work · 20 minutes
Turn the idea into a decision
- Choose a product you know and write the specific decision that pm applications should support.
- List two pieces of evidence, two assumptions, and one credible alternative.
- Make a recommendation in three sentences and add one condition that would change it.
Save to your portfolio
An AI opportunity brief — section: PM applications
Knowledge check
Answer before opening
What is the decision at the centre of pm applications?
A good answer names an accountable choice, not merely an activity or output.
How should evidence and assumptions be separated?
Label observed facts, interpretations, and untested beliefs explicitly so the next learning step is visible.
What makes the recommendation revisable?
It includes a trigger, threshold, or new evidence that would justify changing course.
What should the portfolio artefact communicate?
The context, considered alternatives, chosen direction, rationale, evidence, and remaining risk.
Spaced review
Reconnect the learning
Reflection