I went straight to notifications and recommendation improvements, which in hindsight was way too obvious.
Start by clarifying the goal and defining the key metric (frequency of user sessions) and its drivers. Then segment users and identify barriers to more frequent sessions, and brainstorm and prioritize solutions based on impact and feasibility. Finally, outline how you would measure success and iterate.
Pro tip: Anchor your answer in YouTube's core value proposition: helping users discover and engage with content they love. Focus on increasing the value per session to naturally drive more frequent returns, rather than using push notifications or other potentially annoying tactics.
Clarify the goal: increase the average number of sessions per user per time period (e.g., daily/weekly). Define what constitutes a 'session' and identify the target user segment.
Analyze current user behavior: segment users by frequency (e.g., daily active, weekly active, lapsed) and identify patterns, motivations, and barriers for each segment.
Brainstorm potential levers to increase session frequency, such as improving content discovery, personalizing recommendations, creating habit-forming features, and re-engaging lapsed users.
Prioritize ideas based on impact (potential to increase sessions), effort (development cost), and alignment with YouTube's mission and user experience.
Define success metrics (e.g., sessions per user, retention) and outline an experimentation plan (A/B tests) to validate and refine solutions.
AI-generated suggestions, not part of the candidate's original notes. May be inaccurate — verify before relying on them.