Introduction
To increase Zipline's autonomous aircraft payload capacity without compromising flight range, we need to explore innovative features that optimize weight distribution, aerodynamics, and energy efficiency. I'll analyze the current product, identify key stakeholders, and propose solutions that balance technical feasibility with user needs. Let's dive into this challenge systematically.
Step 1
Clarifying Questions (5 mins)
Why it matters: Determines the scale of improvement needed and informs our solution constraints. Expected answer: Current payload is 1.75 kg with a 160 km round-trip range. Impact on approach: Would focus on incremental improvements for smaller payloads or radical redesign for larger capacity needs.
Why it matters: Identifies potential areas for optimization in power-to-weight ratio. Expected answer: Lithium-ion batteries with electric motors, 80% energy efficiency. Impact on approach: Would explore alternative energy sources or advanced battery technologies if efficiency is already high.
Why it matters: Helps prioritize between payload capacity and maintaining/improving reliability. Expected answer: 99% success rate, with weather conditions being the primary challenge. Impact on approach: Would focus on weather-resistant features if reliability is a significant concern.
Why it matters: Defines the regulatory constraints for our solution design. Expected answer: Operates under specific drone regulations with a maximum takeoff weight of 25 kg. Impact on approach: Would explore solutions within current regulations or consider lobbying for new standards if necessary.
At this point, you can ask interviewer to take a 1-minute break to organize your thoughts before diving into the next step.
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