Strategy question
Glean wants to launch a habit-forming engagement feature such as proactive notifications or AI-generated recommendations. How would you balance fast experimentation for growth with the need to preserve enterprise trust, relevance, and user control, and what launch criteria would determine whether you scale or roll it back?
- Glean
- Strategy
- Hard
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What this question tests
Tests judgment balancing fast growth experimentation against enterprise trust, with clear launch and rollback criteria for a habit forming feature.
How to approach it
- Define what habit forming means responsibly in an enterprise context, relevance and usefulness driving return visits, not manipulative notification frequency.
- Design the feature with user control built in from the start, such as easy opt out or frequency settings, rather than adding it after backlash.
- Run a fast, limited experiment with a subset of accounts to measure engagement lift before any broad rollout.
- Set explicit trust guardrails as launch criteria, such as a cap on notification frequency and a minimum relevance or click through threshold.
- Monitor unsubscribe or opt out rate and any enterprise admin complaints as leading indicators that would trigger a rollback.
- Decide to scale only if engagement lift holds without a corresponding rise in opt outs or admin complaints during the limited test.
What a strong answer includes
- Builds user control into the feature design itself rather than treating trust as a separate review gate applied after building it.
- Names specific rollback triggers, opt out rate and admin complaints, not just engagement lift, as launch criteria.
- Runs a limited scale experiment first, respecting enterprise trust risk, rather than a broad simultaneous rollout.
Common mistakes
- Treating growth experimentation and enterprise trust as sequential steps instead of designing trust safeguards into the feature from the start.
- Measuring only engagement lift as success without tracking opt out rate or complaints as an equally important signal.
Likely follow-up questions
- How would you set the notification frequency cap in the first place?
- What would you do if engagement lift is strong but a few large accounts complain loudly?
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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