Product design question

How would you design a personalization approach for ChatGPT shopping using signals like stated preferences, conversation context, and past behavior, while handling cold start, user control/privacy, and recommendations that could feel biased or overly pushy?

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What this question tests

Tests personalization design skill balancing cold start, user control, and the risk of recommendations feeling biased or pushy.

Use conversation context as the primary signal at cold start, since a user's current shopping conversation gives immediate relevant intent without needing purchase history.
Layer in stated preferences explicitly, letting users set and edit preferences directly rather than only inferring them silently.
Introduce past behavior signals gradually as they accumulate, weighting recent and explicit signals over older inferred ones to avoid stale personalization.
Give users visible control, such as an easy way to see and reset what the system has inferred about their preferences.
Avoid over personalizing to the point recommendations always show similar, expensive, or narrow options, since that can feel pushy or manipulative rather than helpful.
Test personalization changes against both conversion and trust survey metrics together, since a personalization approach that boosts conversion but tanks trust is a net loss.

Sequences cold start signal, conversation context first, before past behavior accumulates, correctly solving the cold start problem the question raises.
Gives users visible control over inferred preferences, which directly addresses the feeling pushy or biased risk named in the question.
Evaluates personalization on both conversion and trust together rather than optimizing purely for conversion, which risks the exact pushy feeling the question warns about.

Relying only on past purchase behavior for personalization, which fails badly for every new user during cold start.
Optimizing personalization purely for conversion lift without checking whether it makes recommendations feel biased or overly pushy.

How would you detect if personalization has started feeling pushy to users before it shows up in churn?
What would you do for a user who explicitly wants no personalization at all?