I spent way too long on the fun part (brainstorming features) and rushed through privacy at the end.
Start by clarifying the goal and constraints, then choose a specific user segment and pain point that leverages the unique value of Street View imagery. Structure your answer around a clear product concept, walking through target users, value proposition, MVP, and ethical considerations, while tying back to Google's mission and strengths.
Pro tip: Show awareness of Google's privacy commitments and data usage policies, and propose safeguards like blurring and opt-outs to demonstrate maturity. Also, quantify the opportunity with a rough TAM or user impact estimate to stand out.
Ask clarifying questions about the dataset (e.g., recency, coverage, metadata) and the goal (e.g., monetization, user growth, social good). Define the problem space and constraints.
Choose a specific user segment (e.g., real estate agents, urban planners, tourists) and articulate their unmet needs that Street View imagery can address.
Describe the product/feature, its core value proposition, and how it leverages Street View's unique assets (e.g., 360° imagery, geolocation, scale).
Define the minimal viable product scope, key features, and how you would measure success (e.g., engagement, retention, revenue).
Discuss potential privacy issues (e.g., capturing people, homes, sensitive locations) and propose mitigations (e.g., blurring, consent, data access controls).
AI-generated suggestions, not part of the candidate's original notes. May be inaccurate — verify before relying on them.
The word 'fair' is doing a lot of work here and I didn't slow down enough to define it before jumping in.
Start by defining fairness as a multi-dimensional concept balancing courier earnings, customer affordability, and platform sustainability. Then present a product vision and marketplace mechanics that align incentives, followed by a phased rollout plan with clear metrics. Emphasize trade-offs and how you'd measure success.
Pro tip: Anchor your answer in a specific fairness metric (e.g., courier earnings per hour vs. customer wait time) and show how you'd optimize for both simultaneously, rather than treating them as zero-sum.
Articulate fairness from both courier and customer perspectives: for couriers, fair pay, transparent and consistent earnings, and safe working conditions; for customers, fair pricing, reliable delivery, and good service. Acknowledge trade-offs and propose a balanced scorecard.
Describe a platform that uses smart matching and dynamic pricing to ensure couriers earn a living wage while customers pay a fair price. Highlight transparency, courier empowerment, and customer trust as core pillars.
Explain how the matching algorithm, pricing model, and rating systems work together to balance supply and demand. Include details on how you'd prevent exploitation and ensure equitable access.
Design incentives that reward couriers for reliability and quality (e.g., bonuses for on-time deliveries) and customers for loyalty (e.g., discounts for flexible delivery windows). Avoid perverse incentives that harm either side.
Outline a phased approach: pilot in one city with key fairness metrics, iterate based on feedback, then scale. Include A/B tests for pricing and incentives, and define success metrics like courier retention and customer satisfaction.
AI-generated suggestions, not part of the candidate's original notes. May be inaccurate — verify before relying on them.