This is the kind of question where you can either go broad and shallow or pick a lane and actually say something interesting.
Start by clarifying the scope and defining the core user problem Alexa solves, then structure your answer around Amazon's working backwards process: articulate the customer need, propose a vision, and outline key features and metrics. Emphasize how Alexa fits into Amazon's ecosystem and leverages existing strengths like AWS and e-commerce.
Pro tip: Anchor your design in a specific customer segment and their unmet needs, and explicitly connect features to Amazon's flywheel (e.g., voice shopping driving Prime engagement) to show strategic thinking.
Ask clarifying questions to understand the scope (e.g., initial launch vs. mature product) and identify the core user problem: hands-free, voice-controlled access to information and services.
Choose a primary user segment (e.g., busy families) and outline top use cases like smart home control, music, shopping, and information queries.
Describe Alexa as a cloud-based voice service with an always-on device, highlighting features like natural language understanding, skills ecosystem, and multi-device support.
Use a framework like RICE to prioritize features for an MVP, focusing on core voice interactions and a few high-impact skills (e.g., music, weather, shopping).
Outline metrics such as daily active users, voice interactions per user, and skill adoption, and explain how you'd iterate based on user feedback and data.
AI-generated suggestions, not part of the candidate's original notes. May be inaccurate — verify before relying on them.