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?

Practice this question out loud. An AI interviewer asks it, follows up like a real interviewer would, and scores your answer. Type or speak.

Start a mock interview on this question · Mock interview from a job description

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

  1. Define what habit forming means responsibly in an enterprise context, relevance and usefulness driving return visits, not manipulative notification frequency.
  2. 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.
  3. Run a fast, limited experiment with a subset of accounts to measure engagement lift before any broad rollout.
  4. Set explicit trust guardrails as launch criteria, such as a cap on notification frequency and a minimum relevance or click through threshold.
  5. Monitor unsubscribe or opt out rate and any enterprise admin complaints as leading indicators that would trigger a rollback.
  6. 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

Common mistakes

Likely follow-up questions

More strategy questions

More questions from Glean

Learn the skill behind it

Chapters of the AI PM course that teach what this question tests.

Preparing for a specific role?

Book summaries for this kind of question

Browse all 4,000+ questions in the bank