I spent the first minute going too broad, like listing every possible pain point a blind person might have anywhere ever.
Start by clarifying the scope and user needs, then propose a solution that leverages Uber's strengths in real-time logistics and mapping. Focus on a phased approach, from indoor navigation to shopping assistance, and define success metrics.
Pro tip: Emphasize the importance of user research with visually impaired individuals to avoid assumptions, and consider partnerships with malls for infrastructure like beacons. Also, tie the solution back to Uber's mission of making transportation and services accessible to everyone.
Ask clarifying questions to understand the user, the mall environment, and the specific pain points in navigation and shopping. Define the goal, such as independence and efficiency.
Outline key user needs: real-time indoor navigation, product location, price checking, and checkout assistance. Consider varying levels of visual impairment and tech familiarity.
Propose a mobile app with audio and haptic feedback, leveraging indoor positioning systems (beacons, Wi-Fi), computer vision, and integration with mall databases. Include features like voice-guided navigation, product scanning, and virtual assistance.
Prioritize features based on impact and feasibility. Start with core navigation and essential shopping tasks, then expand to advanced features like personalized recommendations.
Define metrics like task completion time, user satisfaction, and independence level. Plan for iterative improvements based on user feedback and technological advancements.
AI-generated suggestions, not part of the candidate's original notes. May be inaccurate — verify before relying on them.