Strategy question

How do you capture customer satisfaction when there is a lack of survey responses?

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

Tests measurement strategy under real data constraints: finding proxy signals when direct feedback is sparse.

Diagnose why survey response is low: fatigue, poor timing, or low perceived value, confirm with the interviewer.
Identify implicit proxy signals: repeat usage rate, support ticket sentiment, star ratings already collected.
Improve survey design itself: shorter, better-timed right after the experience, and lightly incentivized.
Use a stratified sample: survey a representative subset deeply rather than everyone shallowly.
Combine implicit and explicit signals into a composite satisfaction score rather than relying on surveys alone.
Define success as response-rate improvement and whether the composite score correlates with retention.

Proposes concrete proxy metrics, repeat usage and ticket sentiment, instead of just trying harder on surveys.
Diagnoses the root cause of low response before jumping to fixes.
Combines implicit and explicit signals into one view rather than depending on one fragile source.

Relying solely on increasing survey incentives without considering proxy signals.
Treating star ratings as a full substitute for satisfaction, ignoring their selection bias.

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