Product design question
Design a feature for Youtube to increase engagement (specifically repeat visits) for sports/fitness enthusiasts.
- Product design
- Medium
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What this question tests
Product design targeted at a specific vertical segment, requiring a habit-building mechanism tied to that audience's real behavior.
How to approach it
- Segment the sports and fitness audience: casual highlight watchers, league or creator followers, and people doing along-with workout videos.
- Identify the pain point: sports and fitness content is consumed in bursts, a game or a workout, without a reason to return the next day.
- Prioritize the along-with workout segment, since a recurring daily habit creates the strongest repeat-visit hook.
- Design the solution: a structured multi-day workout program feature that schedules the next session and reminds users, native to existing creator content.
- Add a progress-tracking layer: streaks and simple logging to reinforce the habit loop.
- Define success: day-7 and day-30 return rate among users who start a program, versus general fitness-content viewers.
What a strong answer includes
- Picks the along-with workout use case specifically because it creates a recurring daily need, a stronger repeat-visit driver than passive viewing.
- Proposes a concrete mechanism, scheduled multi-day program plus reminders, borrowed from proven fitness-app habit loops.
- Uses streaks as reinforcement without inventing a heavy new gamification system.
- Measures success with day-7 and day-30 return rate specifically among program starters, isolating the feature's real effect.
Common mistakes
- Proposing generic content recommendations without a specific habit-forming mechanism.
- Not distinguishing passive sports viewers from active fitness participants.
- Measuring success with overall watch time instead of repeat-visit metrics.
Likely follow-up questions
- How would you handle creator incentives to build structured programs?
- How would this integrate with YouTube's existing recommendation algorithm?
- What would make a user drop off mid-program, and how would you address it?
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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