Product design question
How would you improve Apple Podcast?
- Apple
- Product design
- Easy
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What this question tests
Tests product improvement thinking for a discovery-and-habit product: identifying the real gap in podcast discovery and proposing a focused, testable fix.
How to approach it
- Identify Apple Podcasts' known weakness: discovery of new, relevant shows is weaker than personalization-driven competitors like Spotify, which invests heavily in podcast recommendation.
- Identify the pain point: users often rely on outside recommendations (social media, word of mouth) rather than finding new podcasts within the app itself.
- Prioritize the core problem: improving personalized discovery and recommendation quality, since that is the most differentiated, highest-impact gap versus competitors.
- Propose the solution: an improved recommendation feed using listening history and episode completion signals, plus curated, theme-based collections refreshed regularly by editorial or algorithmic curation.
- Consider a secondary improvement: better cross-episode search (finding a specific topic discussed within an episode, not just show titles), a differentiated feature few competitors do well.
- Define success: new-show discovery and follow rate, and listening time from recommended content, isolating whether the fix is actually driving new habit formation.
What a strong answer includes
- Identifies discovery, not playback or interface, as Apple Podcasts' real competitive gap versus Spotify, grounding the answer in a specific, accurate weakness.
- Proposes a concrete personalization mechanism using listening and completion signals, rather than a vague 'better recommendations' statement.
- Suggests in-episode topic search as a differentiated, less commonly solved feature, showing deeper product thinking beyond the obvious recommendation fix.
- Chooses new-show follow rate and recommended-content listening time as metrics that directly isolate the discovery improvement's impact.
Common mistakes
- Proposing generic UI improvements without addressing the actual competitive gap in discovery and recommendations.
- Measuring success with overall app usage instead of metrics specific to new-show discovery.
Likely follow-up questions
- How would you balance editorial curation against algorithmic personalization for discovery?
- How would you measure whether a recommended show actually became a habitual listen, not just a one-time try?
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More questions from Apple
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