This is a classic Meta-style metrics question and I probably overthought it.
Start by clarifying the purpose of Instagram Likes: to express appreciation, provide social validation, and signal content quality. Then define success through a hierarchy of metrics (engagement, retention, well-being) and propose a measurement plan that balances growth with user well-being.
Pro tip: Acknowledge the tension between engagement and well-being—Meta has publicly grappled with this—and propose guardrail metrics to show you understand the broader product ecosystem.
Explain that Likes serve multiple purposes: for users, they provide social validation and feedback; for the platform, they signal content quality and drive engagement. This sets the foundation for defining success.
Propose a mix of metrics: engagement (likes per user, like rate), retention (impact on DAU/MAU), and well-being (surveys on self-esteem, anxiety). Prioritize metrics based on product goals.
Suggest A/B testing to isolate the impact of Likes (e.g., hide likes for a subset), cohort analysis to track long-term effects, and qualitative user research to capture sentiment.
Discuss potential negative effects like social comparison and anxiety. Propose guardrail metrics (e.g., reports of bullying, user well-being scores) to ensure changes don't harm users.
Summarize by recommending a balanced scorecard that includes engagement, retention, and well-being metrics, and emphasize the need for continuous monitoring and iteration.
AI-generated suggestions, not part of the candidate's original notes. May be inaccurate — verify before relying on them.