Metrics question

You are a PM and your product (B2B) has had low engagement for the past 3 months. How will you find the cause and what solution will you provide?

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

Diagnostic thinking for a B2B product, testing whether the candidate distinguishes engagement problems from broader retention or fit issues.

Clarify what low engagement means specifically: fewer logins, less feature usage, or shorter session length.
Segment by customer cohort: newly onboarded accounts versus long tenured accounts, since causes likely differ.
Check for internal causes: a recent product change, onboarding gap, or unresolved support issues.
Check for external causes: a competitor's recent launch or a shift in the customer's own business priorities.
Once isolated, propose a targeted intervention, such as a renewed onboarding push for the most affected cohort.

Breaks down engagement by specific behavior and by customer cohort rather than treating it as one uniform problem.
Checks both internal and external causes systematically, avoiding a premature conclusion.
Proposes a cohort specific intervention, targeted onboarding, rather than a blanket fix applied to all customers equally.

Jumps to a single explanation without segmenting by cohort or checking multiple possible causes.
Proposes a generic re engagement campaign with no diagnosis of the actual root cause.

How would you distinguish a genuine engagement problem from a seasonal usage pattern in B2B?
How would you prioritize which affected cohort to address first?
How would you validate your hypothesis before rolling out a fix broadly?