Metrics question
A newly launched proactive insight feature for team leaders has strong setup completion but weak ongoing usage, and customers say the insights are 'interesting but not actionable.' How would you diagnose the failure? Which metrics, user segments, and funnel breakpoints would you examine first, and what product changes or experiments would you prioritize next?
- Glean
- Metrics
- Hard
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What this question tests
Tests metrics driven diagnosis of a weak engagement problem for a proactive insight feature, separating setup success from ongoing perceived value.
How to approach it
- Restate the pattern: strong setup but weak ongoing usage plus not actionable feedback, pointing to a value gap, not a discovery problem.
- Break usage down by leader segment, since insights that matter to a director may not matter to a first line manager.
- Break down by insight type, since a generic activity summary may underperform one tied to a specific team risk.
- Find the exact drop off point, for example leaders opening and immediately closing an insight, or never returning after session one.
- Interview leaders who called insights not actionable, then prioritize a concrete action, like a one click message to the relevant team member.
What a strong answer includes
- Treats setup completion and ongoing usage as two separate metrics, onboarding friction versus sustained value, not one aggregate score.
- Hypothesizes actionability as the likely root cause given the direct customer quote, and designs the diagnosis to confirm it first.
- Proposes a concrete fix, like an action button on each insight, tied to a measurable outcome such as week four return rate.
- Segments by leader seniority, since a summary may be useful for a director managing many teams but noise for a manager already close to their team.
Common mistakes
- Assuming the fix is simply more insights instead of testing whether the missing piece is the ability to act.
- Looking only at aggregate usage and missing that one leader segment or insight type is driving the weak numbers.
Likely follow-up questions
- What would you build first if adding actions required significant engineering work?
- How would you segment leaders to find where the feature is already working?
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Learn the skill behind it
Chapters of the AI PM course that teach what this question tests.
- Chapter 9: Prove it paid off: outcomes, economics, and pricing
- Chapter 2: Data fluency: SQL, logs, and reading the truth yourself
- Chapter 14: Get the job: the AI PM interview loop