Metrics question

How would you solve for an increase in the cart abandonment rate?

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

Diagnosing and prioritizing fixes for a common ecommerce funnel problem.

Confirm the increase is real and material, comparing against historical baseline cart abandonment rates.
Break the checkout journey into steps: cart review, shipping cost reveal, payment entry, and confirmation.
Segment by device and by whether users are logged in, since guest checkout often has higher abandonment.
Check for a common cause: unexpected shipping costs or taxes revealed late, a required account creation step, or limited payment options.
Propose fixes ranked by likely impact, like showing total cost earlier or adding guest checkout if missing.
Define success as cart abandonment rate reduction and completed order rate among previously abandoning segments.

Names a well known, concrete cause, unexpected shipping costs revealed late in checkout, as a top hypothesis to check first.
Segments by guest versus logged-in users, since forced account creation is a common, checkable abandonment driver.
Proposes showing total cost including shipping earlier in the funnel as a specific, testable fix.
Picks completed order rate, not just abandonment rate, to confirm the fix actually converts more sales.

Proposing generic fixes like 'improve UX' without naming a specific, checkable cause.
Ignoring segmentation between guest and logged-in checkout behavior.

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