I went straight to user segmentation which felt right, but I spent too long on it and rushed the actual solutions.
Start by clarifying the scope of 'parking experience' and the user segments affected, then identify key pain points through a user journey lens. Prioritize improvements based on impact and feasibility, and propose a phased roadmap with success metrics.
Pro tip: Acknowledge that Google Maps is not a parking operator; focus on leveraging data and partnerships to reduce uncertainty and friction, rather than solving parking supply.
Ask clarifying questions to define which parking scenarios (street, garage, event) and user segments (daily commuters, travelers) to focus on, and what success looks like (e.g., time saved, stress reduced).
Walk through the end-to-end parking journey: searching for parking, navigating to it, paying, and finding the car. Identify key pain points like uncertainty of availability, price, and payment friction.
Generate ideas across data, partnerships, and product features. For example, real-time availability predictions, integrated payments, and reservation options.
Use a framework like RICE or impact/effort to prioritize solutions. Consider dependencies, such as data partnerships, and propose a phased rollout (MVP to full feature).
Outline metrics to measure success, such as reduction in time to find parking, increase in parking-related searches, or user satisfaction scores.
AI-generated suggestions, not part of the candidate's original notes. May be inaccurate — verify before relying on them.