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Uber
Medium

Design a parking app for a busy city.

Community Answers (1)

A
Adil

1. Clarifying Assumptions I will focus on car parking at malls — since car drivers face the most friction in busy cities like Bangalore. No specific timeframe or region constraint. I will target the mobile app since drivers look for parking on the go. 2. Mission & Goal Mission: Help mall visitors in busy cities like Bangalore find and reserve parking instantly — so they stop wasting 30 minutes circling the parking area and spend more time doing what they actually came for. Goal: Reduce average parking search time from 30 minutes to under 5 minutes, increasing user satisfaction and frequency of mall visits. 3. User Segmentation Mall visitors can be divided into four types — daily employees, weekly visitors, monthly visitors, and rare visitors. I am focusing on weekly visitors because they visit frequently enough to feel the parking problem repeatedly, and they come on weekends when the mall is most crowded and parking is hardest to find. 4. User Persona Anil — a businessman living in Bengaluru. He visits the mall every week with his family for movies, dinner, and shopping. He leaves home at 7pm and reaches the mall at 8pm. Every visit, Anil spends 20–30 minutes just searching for a parking spot. Sometimes the family misses the start of their movie. He gets frustrated standing in long queues to pay the parking bill. When visiting a new mall, he has no idea what the parking charges are until he is already inside. This experience makes him consider skipping the mall entirely and going to a smaller local shop instead. 5. Pain Points Pain Point 1 — No real-time spot visibility: Anil enters the parking area with no idea which floors or sections have available spots. He drives around wasting time and fuel. Pain Point 2 — Slow and frustrating payment: After parking, Anil has to stand in a long queue at the billing counter to pay. It kills the fun of a family outing. Pain Point 3 — No advance information on parking charges: Every mall has different rates. Anil only finds out the cost after he has already parked, which feels like a surprise. 6. Solutions Solution 1 — Real-time parking availability: Show a live map of the mall parking area with color-coded spots — green for available, red for occupied. Anil can see exactly which floor and section has a free spot before he even enters. Solution 2 — Advance spot reservation: Allow Anil to book a specific parking spot from his phone before leaving home. His spot is guaranteed when he arrives — no more circling. Solution 3 — Digital payment with upfront charges: Show parking charges clearly before booking. After parking, Anil pays directly through the app — no queues, no cash, no billing counter. Solution 4 — Mall-wise parking map: A visual layout of the entire parking area so Anil knows the structure of the parking before he visits a new mall. 7. Prioritization I would prioritize Solution 1 — Real-time parking availability. Impact: Around 70% of weekly mall visitors face this exact problem. If not fixed, frustrated users like Anil stop visiting the mall and switch to smaller local shops — directly reducing mall footfall and revenue. Feasibility: Most malls already have CCTV cameras and entry/exit sensors at each parking level. This existing infrastructure can be used to track real-time spot availability without building from scratch. Effort: Effort is medium-high, but the business case is strong. I would validate with an A/B test at one mall before a full rollout. 8. Metrics Download rate: 25% of mall visitors download the app within the first 3 months of launch. Adoption rate: 50% of users who download the app actually book or check a parking spot. Retention rate: 35% of users come back and use the app again within 7 days. 9. Summary Weekly mall visitors like Anil waste 20–30 minutes every visit searching for a parking spot, miss movies, and sometimes avoid the mall altogether. I would build a real-time parking availability feature that shows Anil exactly which spots are free before he even enters the parking area. I prioritized this because 70% of users face this problem, the mall's existing sensors make it technically feasible, and solving it directly reduces the risk of losing frequent visitors to competitor shopping options. Success would be measured by 25% app downloads in 3 months, 50% adoption, and 35% retention within 7 days.