Product design question

How would you improve Instagram feed and measure its success?

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 sense combined with metrics thinking, improving a mature feed and defining how to measure the change.

Clarify the goal: are we optimizing for time spent, content diversity, or creator health, since these can conflict.
Segment users, e.g. lurkers, casual posters, and heavy creators, since a feed change affects each differently.
Identify a specific pain point, such as feed fatigue from too much reshared or ad content crowding original posts.
Propose one focused change, e.g. a dedicated close friends row or better ranking signals for underexposed original content.
Define a primary success metric, such as daily time spent by casual users or original post engagement rate.
Set a guardrail metric, such as ad load tolerance or creator posting frequency, to catch negative side effects.

Picks one specific improvement rather than a vague list, e.g. reducing ad density in the first ten posts.
Separates the north star metric, like DAU/MAU ratio, from guardrails like session length or reported spam.
Gives an illustrative number, e.g. targeting a 3 percent lift in day 7 retention, clearly marked as an assumption.
Explains why the metric was chosen, tying it back to the specific user segment and pain point identified.

Proposing many small tweaks without picking one to go deep on.
Choosing a vanity metric like total likes instead of a retention or satisfaction proxy.
Not considering unintended effects on creators or ad revenue.

Chapters of the AI PM course that teach what this question tests.