Start by clarifying the product or feature and Meta's strategic goals, then evaluate the opportunity through user value, business impact, and feasibility lenses. Conclude with a clear recommendation and outline key risks and success metrics.
Pro tip: Anchor your analysis in Meta's mission and existing ecosystem—show how the product leverages Meta's strengths (social graph, AI, AR/VR) and fits the 'family of apps' strategy. Quantify impact where possible to demonstrate business acumen.
Ask clarifying questions to understand the product/feature, target users, and Meta's strategic objectives. Define what success looks like for Meta.
Evaluate the problem it solves, user needs, market size, and competitive landscape. Consider how it enhances Meta's existing products and user engagement.
Analyze potential revenue streams, cost structure, and alignment with Meta's mission and long-term bets (e.g., metaverse, AI). Consider network effects and data advantages.
Consider technical complexity, resource requirements, regulatory/privacy issues, and potential cannibalization. Identify key risks and mitigation strategies.
Synthesize findings into a clear yes/no/maybe decision with rationale. Outline next steps, success metrics, and a phased approach if applicable.
AI-generated suggestions, not part of the candidate's original notes. May be inaccurate — verify before relying on them.