Metrics question
How would you define success metrics for Glean’s Agent Security & Governance area so that you can track both agent adoption and trust outcomes such as policy compliance, explainability, and safe use of enterprise data? Be specific about leading and lagging metrics and the tradeoffs between them.
- Glean
- Metrics
- Hard
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What this question tests
Whether you can define a metrics framework for a trust-and-adoption area, distinguishing leading from lagging indicators and naming the real tradeoffs between them, not just listing metrics.
How to approach it
- Adoption metrics: number of agents deployed under governance policies, and percentage of enterprise accounts with governance actively configured versus left at default.
- Trust metrics: policy compliance rate (actions blocked or flagged versus allowed), explainability coverage (percentage of agent actions with a retrievable rationale), and safe-data-use incidents per period.
- Leading indicators: policy configuration completeness at onboarding, and rate of admin review of flagged actions, since these predict trust outcomes before an incident happens.
- Lagging indicators: actual security incidents or compliance violations, and enterprise renewal or expansion tied to governance satisfaction in customer surveys.
- Name the tradeoff explicitly: leading indicators are easier to move and can look good without real safety improvement, while lagging indicators are the real proof but arrive too late to course-correct quickly, so both must be tracked together.
What a strong answer includes
- Explicitly separates adoption from trust as two different metric families, matching what the question asks for.
- States the leading-versus-lagging tradeoff directly, that leading indicators can be gamed while lagging indicators arrive too late alone, rather than just listing metrics in two buckets.
- Includes explainability coverage as a specific, measurable trust metric, not just a vague trust score.
Common mistakes
- Lists metrics without distinguishing adoption from trust or leading from lagging.
- Never addresses the tradeoff between leading and lagging indicators the question explicitly asks about.
Likely follow-up questions
- How would you catch a leading indicator that is being gamed without real improvement underneath.
- What would you do if adoption is strong but trust metrics stay flat.
More metrics questions
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- Glean cares about time-to-first-call, integration success rate, and API error rates. Which metrics would you treat as the core indicators that external developers are actually reaching production successfully, which are just supporting diagnostics, and how would you instrument the platform to measure the funnel from initial setup to a live production integration?Glean · Metrics · Medium
- Glean wants customers to safely compare multiple LLMs before committing one to production. What end-user workflow and admin/API capabilities would you prioritize in v1, what would you leave out, and how would you measure whether the experimentation experience is actually helping customers make better rollout decisions?Glean · Metrics · Hard
- You own projections of LLM usage, cost, and capacity planning for a new LLM-native capability. How would you forecast demand at launch, monitor leading indicators after release, and decide when to secure more provider capacity versus routing traffic to alternative models?Glean · Metrics · Hard
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