Behavioral question

What methods would you use to gather feedback about your product?

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

Breadth and rigor of a PM's user-research toolkit, and knowing when to use each method.

State the range of methods: qualitative interviews and usability testing, and quantitative surveys, in-product analytics, and support ticket themes.
Note when to use each: interviews and usability testing for early discovery and 'why,' analytics and surveys for validating scale and 'how many.'
Give a specific, realistic example: running 5 to 8 moderated interviews before a redesign, paired with an NPS or CSAT survey post-launch.
Mention passive signal sources: support tickets, app store reviews, and community forums as an underused but rich feedback channel.
Note the importance of closing the loop, feeding findings back to the team and, where possible, to the users who gave feedback.
Note a guardrail: avoid over-indexing on the loudest, most vocal users and triangulate across methods.

Distinguishes qualitative from quantitative methods and explains when each is appropriate, not just a list.
Names a concrete, realistic example, moderated interviews plus NPS, instead of an abstract list.
Flags the vocal-minority bias risk, a real pitfall of relying only on support tickets and reviews.

Just listing method names, surveys and interviews and analytics, without explaining when or why to use each.
No mention of closing the loop or triangulating across sources.

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