I spent way too long on the skyscraper context trying to sound smart about vertical transportation and kind of buried the actual product thinking.
Start by clarifying the goal and constraints: skyscrapers have unique challenges like high traffic, long wait times, and zoning. Then propose features that address these pain points, such as smart dispatching and predictive maintenance, and differentiate by leveraging data and integration with building systems.
Pro tip: Focus on the user experience and business impact: features should reduce wait times and energy costs, and differentiation should come from a platform approach that integrates with smart buildings and offers predictive analytics.
Ask clarifying questions about the building type, user segments, and success metrics. Define the problem space: high-rise buildings have complex traffic patterns and peak demands.
List key pain points for different users: long wait times, overcrowding, energy inefficiency, and maintenance downtime. Prioritize based on impact and frequency.
Generate features that address pain points, such as AI-based dispatching, destination control, predictive maintenance, and integration with building apps.
Use a framework like RICE to prioritize features. Identify how these features differentiate from competitors, e.g., through superior algorithms, data integration, or ecosystem partnerships.
Define success metrics (e.g., average wait time, energy consumption) and outline a phased roadmap from MVP to advanced features.
AI-generated suggestions, not part of the candidate's original notes. May be inaccurate — verify before relying on them.