Product design question
How would you increase the ARPU of LinkedIn learning users?
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What this question tests
Tests revenue-per-user growth thinking for a subscription education product, distinguishing new monetization levers from simple price increases.
How to approach it
- Clarify the levers available: raising price, increasing course consumption per user, or upselling higher tiers, since ARPU can move through any of them.
- Segment users by engagement: light users who log in rarely, active learners completing courses, and power users pursuing certifications.
- Identify the underused lever: most subscribers underuse LinkedIn Learning relative to what they're paying for, so engagement growth is the real ARPU driver, not price hikes alone.
- Propose a content and career-outcome tie-in, such as recommending courses based on a user's target job listings on LinkedIn, increasing perceived value and usage.
- Add a premium certification or skill-assessment tier for power users willing to pay more for credentialing.
- Define success as ARPU growth driven by increased consumption and tier upgrades, not churn-inducing price hikes.
What a strong answer includes
- Distinguishes ARPU growth through engagement and upsell from a blunt price increase, which risks churn.
- Uses LinkedIn's unique advantage, job and skill data, to justify a specific personalization feature tying learning to career goals.
- Uses illustrative numbers as assumptions: assume 15% of subscribers complete zero courses a year, representing the biggest at-risk-of-churn, low-usage segment to activate first.
- Proposes a premium certification tier as a concrete upsell path for power users, not just a vague more content plan.
Common mistakes
- Defaulting to a straight price increase without considering churn risk.
- Not segmenting users by engagement level before proposing a fix.
- Ignoring LinkedIn's unique data advantage (job postings, skills) that differentiates this from a generic e-learning platform.
Likely follow-up questions
- How would you convince a low-usage subscriber not to cancel?
- What's the risk of a premium tier cannibalizing the base subscription?
- How would you measure whether increased engagement actually drives retention?
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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 7: AI UX and human oversight: design for a system that is wrong sometimes
- Chapter 14: Get the job: the AI PM interview loop