I started with user segmentation, which felt right, but I spent way too long on it.
Start by clarifying the scope and user needs, then propose a solution that leverages Google's strengths in AI, mapping, and accessibility. Structure your answer around user empathy, technical feasibility, and business impact, while showing adaptability to constraints.
Pro tip: Emphasize how your solution integrates with existing Google products like Google Maps and Google Lens, and discuss potential partnerships with venues to ensure adoption. Also, mention the importance of user testing with visually impaired users to validate assumptions.
Ask clarifying questions to understand the scope: which public buildings/spaces, what level of visual impairment, and whether the solution is an app or device. Define the problem statement and success metrics.
Describe the target user personas and their pain points in navigating public spaces. Highlight challenges like lack of real-time information, obstacles, and wayfinding.
Propose a product concept that combines smartphone sensors, AI, and indoor mapping. For example, an app using computer vision, LiDAR, and audio cues to guide users, integrated with Google Maps.
Discuss technical feasibility, data requirements, and how Google's assets (AI, Maps, AR) give an edge. Address potential challenges like accuracy, privacy, and battery life.
Outline a phased rollout, from pilot with select venues to scaling. Define success metrics (e.g., user satisfaction, navigation time reduction) and business model (e.g., partnerships with venues).
AI-generated suggestions, not part of the candidate's original notes. May be inaccurate — verify before relying on them.