Week 26 · learning day 5
Personalisation and customer experience
Applications of Generative AI in Product Management · 60–90 minutes
Today’s outcomes
- Explain personalisation and customer experience in the context of applications of generative ai in product management.
- Decide a product decision using the source outcome rather than intuition alone.
- Produce a reusable section of a genai lifecycle concept.
Source trace
W26-O02Explore specific applications of generative AI across different stages of the product management lifecycle.
Core lesson
Make the choice inspectable
Personalisation and customer experience matters when it changes a real allocation of attention, money, time, or delivery capacity. GenAI creates probabilistic experiences that need explicit quality and value choices.
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: Explore specific applications of generative AI across different stages of the product management lifecycle.
What decision will personalisation and customer experience improve, what evidence is sufficient for that decision, and what is the cost of being wrong?
Worked example
Personalisation and customer experience in practice
For a guided concept studio for small brands, the product manager must decide a choice about personalisation and customer experience. 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 personalisation and customer experience 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
A GenAI lifecycle concept — section: Personalisation and customer experience
Knowledge check
Answer before opening
What is the decision at the centre of personalisation and customer experience?
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