I went straight to user pain points which felt right, but I spent way too long on the obvious stuff like wait times and button interfaces.
Start by clarifying the goals and constraints of a 'next-generation' elevator, then segment users and use cases to identify key pain points. Propose a prioritized set of features that leverage Google's strengths in AI, cloud, and data, and define success metrics and a rollout plan.
Pro tip: Anchor your design in user needs and business value, not just technology; show how you'd validate assumptions with experiments and iterate based on data.
Ask questions to understand the scope: Is this for new buildings or retrofits? What are the budget, timeline, and regulatory constraints? What does 'next-generation' mean to stakeholders?
Segment users (e.g., passengers, building managers, maintenance crews) and map their pain points such as wait times, crowding, energy efficiency, and accessibility.
Generate ideas like AI-based predictive dispatching, personalized experiences via Google Assistant, IoT sensors for predictive maintenance, and energy recovery systems. Prioritize using impact vs. effort or RICE.
Establish metrics like average wait time, energy consumption, user satisfaction, and uptime. Outline how to test assumptions via prototypes, simulations, or pilot deployments.
Propose a phased rollout starting with a pilot building, gather data, iterate, and scale. Consider partnerships with elevator manufacturers and integration with Google's ecosystem.
AI-generated suggestions, not part of the candidate's original notes. May be inaccurate — verify before relying on them.