Start by anchoring on Meta's mission and the AI assistant's role in connecting users across the family of apps. Then define a balanced set of goals across user engagement, product quality, and business impact, ensuring they are measurable and aligned with Meta's strategic priorities. Finally, prioritize goals based on impact and feasibility, and outline how you would track progress and iterate.
Pro tip: Show that you understand Meta's unique position: the assistant must serve billions of users across diverse apps (Facebook, Instagram, WhatsApp, Messenger) while respecting privacy and safety. Emphasize goals that leverage cross-app synergies and network effects.
Restate the AI assistant's core value proposition: a ubiquitous, helpful AI that enhances user experiences across Meta's apps. Consider Meta's mission, competitive landscape, and long-term bets in AI.
Map out user segments (e.g., casual users, creators, businesses) and their needs. Also consider internal stakeholders (e.g., ads, integrity, infrastructure) and how the assistant can support their goals.
Propose goals in three areas: user engagement (e.g., DAU, retention, interactions per user), product quality (e.g., response accuracy, latency, user satisfaction), and business impact (e.g., ad revenue lift, cost efficiency). Ensure metrics are measurable and have baselines.
Use a framework like RICE or impact/effort to prioritize. Consider dependencies, technical constraints, and potential risks. Align with Meta's overall AI roadmap.
Describe how you would track progress (dashboards, experiments), set targets, and iterate. Mention regular reviews with cross-functional teams and clear communication to leadership.
AI-generated suggestions, not part of the candidate's original notes. May be inaccurate — verify before relying on them.