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What is your weakest AI PM skill, and what evidence shows that you are improving it?

Try it in the practice workspaceDraft your answer before comparing it with the rubric.

Connect a real weakness to a consequential decision, a changed working habit and evidence that survives follow-up questions.

Updated Nov 2026 · Original practice questions with worked answers and teaching rubrics. Our editorial policy explains the sources, review process and limits.

Case briefRead the inputs, then make your call

Choose a limitation exposed by feedback on your actual work. The invented evaluation mistake below provides practice inputs; your interview account must come from your experience.

Scenario inputs
Decision errorA PM recommended expansion after an eight-point pass-rate gain without checking whether the two evaluation sets contained comparable tasks.
FeedbackA reviewer found that the newer set was easier. The PM withdrew the recommendation.
Learning checkFour of eight unfamiliar comparison-design cases were correct before practice; seven of eight new cases were correct afterward.
Current boundaryThe PM still needs specialist support for clustered experiments and rare-event estimates.

Your task. Explain the consequence, changed working habit and evidence of progress. State the remaining limit and when you would reduce or retain independent review.

Connect a real weakness to a consequential decision, a changed working habit and evidence that survives follow-up questions.

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