Product design question
Spotify has a 1-month trial membership. We noticed that users were not converting to paid membership after the free trial. From a product standpoint, what can you do to improve user engagement and subsequent customer retention?
- Spotify
- Product design
- Medium
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What this question tests
Product thinking on trial-to-paid conversion: understanding drop-off causes and designing a retention lever.
How to approach it
- Segment trial users by engagement level during the trial, since low-engagement users convert differently than high-engagement ones who still churn.
- Identify likely causes: price sensitivity, insufficient personalized value shown during the trial, or a weak moment to prompt upgrade.
- Propose interventions: a personalized 'your year in review' style recap near trial end, or a discounted first month instead of full price.
- Test timing of the upgrade prompt, since prompting too early or only at expiration may miss the best moment.
- Define success metrics: trial-to-paid conversion rate and 90-day retention of converted users, not just conversion alone.
What a strong answer includes
- Separates 'never engaged' trial users, who need onboarding fixes, from 'engaged but didn't convert' users, who need a pricing or timing fix.
- Proposes a concrete lever, like surfacing a personalized playlist stat before the trial ends to remind users of value received.
- Gives an illustrative number, e.g. conversion rising from 15% to 20% with a targeted nudge, marked as an assumption.
- Warns against discounting broadly, since it can train users to wait for offers instead of fixing the underlying value gap.
Common mistakes
- Treating all non-converters as one group instead of segmenting by engagement.
- Defaulting straight to a price cut without diagnosing whether the issue is value perception or price.
Likely follow-up questions
- How would you know if the problem is price versus perceived value?
- What would you test first: onboarding, timing, or pricing?
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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