Project Overview

Spota is a smart parking app that helps users easily find, book, and pay for parking in busy areas. Designed for both car and bike users, it solves common parking hassles with real-time availability, pre-booking, and digital payments — making parking quick and stress-free.

Spota is a smart parking app that helps users easily find, book, and pay for parking in busy areas. Designed for both car and bike users, it solves common parking hassles with real-time availability, pre-booking, and digital payments — making parking quick and stress-free.

Design Process

Problem Statement

People often waste time and feel stressed while searching for parking in busy areas. There is no simple way to check real-time availability, pre-book a spot, or make digital payments. Two-wheeler users face even greater challenges due to poor signage and the lack of dedicated parking spaces. This project aims to create a solution that makes parking simpler, quicker, and hassle-free for both car and two-wheeler users.

People often waste time and feel stressed while searching for parking in busy areas. There is no simple way to check real-time availability, pre-book a spot, or make digital payments. Two-wheeler users face even greater challenges due to poor signage and the lack of dedicated parking spaces. This project aims to create a solution that makes parking simpler, quicker, and hassle-free for both car and two-wheeler users.

Pre User Journey

Users struggled to find parking through trial and error — circling around venues, asking security guards, and wasting time. There was no way to check real-time availability, pre-book a spot, or get guided directions. Payments were often cash-based, and users frequently forgot where they parked, leading to stress and delays.

Users struggled to find parking through trial and error — circling around venues, asking security guards, and wasting time. There was no way to check real-time availability, pre-book a spot, or get guided directions. Payments were often cash-based, and users frequently forgot where they parked, leading to stress and delays.

User Research

Target Audience

Target Audience

Urban Car Commuters (Office-goers, Shoppers, Travelers).

Urban Car Commuters (Office-goers, Shoppers, Travelers).

Two-Wheeler Riders (College Students, Daily Commuters).

Two-Wheeler Riders (College Students, Daily Commuters).

Residents in High-Density Parking Zones.

Residents in High-Density Parking Zones.

Quantitative Research: Online Survey

Quantitative Research: Online Survey

Structured questionnaires distributed via Google Forms and social groups to gather measurable data on how people search for parking, what frustrates them, and what they expect in a solution. To validate pain points, understand user priorities at scale, and guide feature prioritization.

Structured questionnaires distributed via Google Forms and social groups to gather measurable data on how people search for parking, what frustrates them, and what they expect in a solution. To validate pain points, understand user priorities at scale, and guide feature prioritization.

Qualitative Research: User Interviews

Qualitative Research: User Interviews

One-on-one interviews with frequent drivers and riders in urban areas to gain deeper insights into real-life parking challenges and emotional drivers behind their behavior. To uncover unmet needs, trust gaps, and expectations that can’t always be revealed through survey questions alone.

One-on-one interviews with frequent drivers and riders in urban areas to gain deeper insights into real-life parking challenges and emotional drivers behind their behavior. To uncover unmet needs, trust gaps, and expectations that can’t always be revealed through survey questions alone.

Survey Objective

Survey Objective

To understand real-world parking challenges faced by urban drivers and riders, and identify expectations from a digital parking solution.

To understand real-world parking challenges faced by urban drivers and riders, and identify expectations from a digital parking solution.

Survey Questions

Survey Questions

Interview Objective

Interview Objective

To deeply understand users’ real-world parking experiences, emotions, and pain points, especially in high-traffic or event-based scenarios — and uncover expectations for an ideal parking solution.

To deeply understand users’ real-world parking experiences, emotions, and pain points, especially in high-traffic or event-based scenarios — and uncover expectations for an ideal parking solution.

Interview Questions

Interview Questions

How do you usually find a parking spot when you go out?

Have you ever cancelled your plan because you couldn’t find parking?

Would you prefer to pre-book a parking spot before reaching your destination?

How often do you struggle to find parking in busy areas like malls, offices, or events?

Do you think a real-time parking availability feature would be useful for you?

Would you like turn-by-turn directions to your reserved parking spot?

How do you usually pay for parking—cash, card, or mobile wallets?

Key Findings from Survey & Interviews

User Persona (Car User)

Empathy Map

User Persona (Bike User)

Empathy Map

Competitive Analysis

Affinity Mapping

How Might We (HMW)

User Journey

User Flow

Information Architecture

Wireframes

Typography

Color

Components

UI Mockups