The text-only output constraint is what makes this interesting and also where I kind of stumbled.
Start by clarifying the goal: this is a product ideation question for Lyft, so focus on how a smell sensor could enhance the rider/driver experience. Brainstorm a few ideas, then pick one and flesh it out with user value, technical feasibility, and business impact. Show structured thinking and creativity while staying grounded in Lyft's context.
Pro tip: Tie your idea back to Lyft's core metrics like ride completion, driver satisfaction, or safety. Avoid over-engineering; instead, show how you'd validate the concept with a simple MVP.
Ask clarifying questions to understand the sensor's capabilities (e.g., accuracy, latency) and the target user (riders, drivers, or both). Confirm that the goal is to design a product that leverages this sensor to solve a real problem for Lyft.
Generate a few diverse ideas, such as detecting alcohol in the car, identifying unpleasant odors, or personalizing ride experience based on rider's perfume. Quickly evaluate each for feasibility and impact.
Choose the most promising idea and define it clearly: what it does, who it's for, and how it works. For example, a 'Fresh Ride' feature that alerts drivers to lingering odors and suggests actions.
Describe the end-to-end user flow, from sensor detection to notification and action. Discuss technical trade-offs like false positives, privacy concerns, and integration with the Lyft app.
Outline how you'd measure success (e.g., increase in 5-star ratings, reduction in odor complaints) and propose a pilot test with a small group of drivers.
AI-generated suggestions, not part of the candidate's original notes. May be inaccurate — verify before relying on them.