Product design question
How would you improve Spotify to drive more adoption of the 40-60 year old demographic?
- Spotify
- Product design
- Medium
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What this question tests
Product improvement targeting a specific demographic: adapting an existing product's value proposition for an underpenetrated segment.
How to approach it
- Identify why 40 to 60 year olds may underuse Spotify: unfamiliarity with playlist culture, preference for radio or albums, or discovery friction.
- Identify what this segment values: nostalgia, familiar artists, and simpler navigation over algorithmic discovery.
- Propose a concrete feature, like a 'decades' browsing mode or curated nostalgia playlists tied to life moments.
- Consider onboarding, since this segment may need a simpler first-run experience than younger digital natives.
- Define success as increased weekly listening hours and retention specifically within this age cohort.
What a strong answer includes
- Grounds the proposal in a plausible behavioral insight (nostalgia and familiarity) rather than assuming this segment just needs 'simpler UI.'
- Proposes a concrete feature, like curated decade-based playlists, tailored to how this segment actually discovers music.
- Addresses onboarding specifically, since first impressions matter more for a less digitally native segment.
- Uses an assumed metric, e.g. targeting a 20 percent increase in weekly active users aged 40 to 60.
Common mistakes
- Assuming this segment simply wants a dumbed-down version of the existing app.
- Ignoring onboarding friction as a barrier to adoption for this cohort.
- Not defining a segment-specific metric to track progress.
Likely follow-up questions
- How would you test this feature with the target demographic before a full launch?
- How would you market this feature specifically to this age group?
- What would you do if engagement doesn't improve after 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 7: AI UX and human oversight: design for a system that is wrong sometimes
- Chapter 14: Get the job: the AI PM interview loop