Strategy question
Glean is considering a new governance capability that depends on deep integrations with identity, DLP, and data-classification systems, but connector coverage and reliability will vary by customer. How would you decide whether to launch, what scope to support first, and what tradeoffs you’d make across speed, coverage, and reliability?
- Glean
- Strategy
- Hard
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What this question tests
Tests deciding whether to launch a governance capability with uneven connector reliability, scoping what ships first, and weighing speed against coverage and reliability.
How to approach it
- Assess which identity, DLP, and data-classification integrations are already reliable versus experimental, and which customer segments depend on the unreliable ones.
- Scope a v1 that launches only on the integrations with proven reliability, for example a major identity provider and one DLP partner, rather than waiting for full coverage.
- Set explicit customer-facing scope: which source systems and integrations are supported at launch, and mark others as in beta or roadmap rather than silently unsupported.
- Decide the launch gate: reliability, false positive or false negative rate on classification and DLP signals, matters more than breadth, since a wrong governance decision is worse than a missing one.
- Build a fallback behavior for unsupported or unreliable integrations, for example defaulting to the most restrictive policy rather than silently skipping enforcement.
- Plan a phased expansion of connector coverage post-launch, prioritized by which customer segments are blocked without it.
What a strong answer includes
- Prioritizes reliability over breadth as the launch gate, since an incorrect governance decision is more damaging than limited coverage.
- Scopes v1 explicitly to the integrations already proven reliable, rather than delaying for full parity across all identity and DLP systems.
- Designs an explicit fallback, defaulting to restrictive, for unreliable integrations instead of silent gaps in enforcement.
- Communicates supported scope transparently to customers rather than implying full coverage at launch.
Common mistakes
- Waiting for full integration coverage before launching, which delays value for customers who already have reliable connectors.
- Launching without a defined fallback for unreliable integrations, creating silent governance gaps.
- Overselling coverage to customers, creating trust risk when an unsupported integration fails.
Likely follow-up questions
- How would you decide when an integration is reliable enough to support?
- What would you tell a customer whose critical system isn't supported at launch?
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Learn the skill behind it
Chapters of the AI PM course that teach what this question tests.
- Chapter 4: Discovery and strategy for AI products
- Chapter 9: Prove it paid off: outcomes, economics, and pricing
- Chapter 14: Get the job: the AI PM interview loop