Metrics question
After launching new agent security and governance features, how would you measure whether they are actually working for enterprise customers? Define a concise metric set that captures security outcomes, admin confidence, and end-user adoption, and explain which are leading vs. lagging indicators.
- Glean
- Metrics
- Hard
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What this question tests
Tests building a concise, layered metric set that proves new governance features actually reduce risk and build admin confidence, not just get turned on.
How to approach it
- Define the outcome you're proving: fewer over-permissioned answers, fewer unsafe write actions executed, and admins willing to expand agent access.
- Pick security outcome metrics: rate of blocked or flagged over-permission attempts, percent of write actions that went through approval versus bypassed, and audit log completeness.
- Pick admin confidence metrics: number of connectors admins enable write access for, and support tickets or escalations related to governance concerns.
- Pick end-user adoption metrics: percent of eligible users active weekly, and whether adoption holds steady or grows after governance features roll out, not just at launch.
- Separate leading indicators, like admin configuration completion and approval-flow usage, from lagging indicators, like renewal or expansion revenue tied to trust.
What a strong answer includes
- Names a concrete leading indicator, percent of admins who complete permission configuration, that predicts trust before renewal data exists.
- Uses connector-level write-access enablement as a proxy for admin confidence, which is harder to game than a survey score.
- Explicitly checks that adoption doesn't drop after governance ships, since added friction from approvals could suppress usage.
- Ties the metric set back to enterprise revenue outcomes, like expansion into new departments, as the ultimate lagging proof.
Common mistakes
- Measuring only feature adoption, like toggles turned on, without any real security or trust outcome.
- Ignoring the risk that governance friction quietly reduces end-user adoption.
- Using support ticket volume alone without normalizing for active enterprise account count.
Likely follow-up questions
- How would you tell if low incident counts mean the controls work or nobody is using agents?
- Which metric would you show a skeptical CISO first?
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More questions from Glean
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