Product design question

How would you improve the Capital One shopping app?

Practice this question out loud. An AI interviewer asks it, follows up like a real interviewer would, and scores your answer. Type or speak.

What this question tests

Product improvement for a specific fintech-adjacent shopping app: identifying friction in the shopping and rewards journey.

Clarify the core function: Capital One Shopping helps users find coupons and price comparisons while shopping online.
Identify friction points, such as unclear whether the extension caught the best deal, or inconsistent price-comparison accuracy.
Propose a concrete fix, like a confidence score showing how thoroughly the app searched for the best deal.
Consider trust, since users need to believe the app is genuinely finding the best price, not steering them for revenue.
Define success as increased user trust signals, like higher rate of applying suggested coupons.

Names a specific, plausible pain point (uncertainty about deal completeness) rather than a vague 'make it better.'
Addresses the trust tension directly, since affiliate revenue could create an incentive conflict users may sense.
Proposes a concrete transparency feature, like showing which retailers were checked for a comparison.
Uses an assumed metric, e.g. increasing coupon application rate by 10 percent.

Ignoring the potential trust conflict between affiliate revenue and unbiased recommendations.
Giving generic shopping-app feedback with no tie to Capital One Shopping specifically.
Not defining a metric to judge whether the fix improved trust or usage.

How would you address the trust conflict between affiliate revenue and honest recommendations?
How would you measure whether users trust the price comparisons?
What would you prioritize first with limited engineering resources?