This one is tricky because you're essentially designing against Meta's core engagement model.
Start by clarifying the goal: is it to reduce overall time spent or to shift time to meaningful interactions? Then segment users and identify high-value use cases where reduced time improves well-being without hurting engagement. Finally, propose a feature, define success metrics, and discuss trade-offs and risks.
Pro tip: Frame the solution as a win-win: reducing passive consumption can increase active engagement and long-term retention. Also, consider A/B testing with guardrail metrics to ensure no negative impact on key business metrics.
Ask clarifying questions to understand what 'spend less time' means: reduce total time, reduce passive scrolling, or increase time between sessions? Define the target user segment and success criteria.
Identify why users spend excessive time: e.g., mindless scrolling, fear of missing out, or addictive design. Segment users by behavior (e.g., passive vs. active) and motivations.
Generate ideas that promote mindful usage, such as time limits, friction, or positive reinforcement. Prioritize based on impact, feasibility, and alignment with company values.
Choose metrics like daily active users, time spent, and well-being surveys. Consider trade-offs: reduced time might lower ad revenue but improve retention and brand perception.
Suggest an A/B test with a control group, measure both engagement and well-being metrics, and plan a phased rollout if results are positive.
AI-generated suggestions, not part of the candidate's original notes. May be inaccurate — verify before relying on them.