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Design Blog

Welcome to my UX design blog, where I will delve into intriguing insights and present compelling examples that will enrich your understanding of user experience!

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Generative AI - Ride Hailing App

I set out to create a ride-hailing app like Uber and Ola, using generative AI to speed up the process. From designing user experiences to writing user stories, AI helped me take the first steps quickly. What usually takes months of hard work got a strong and early boost, showing how powerful GenAI can be in product development.

Information Architecture & User Journey Mapping
The Information Architecture (IA) and User Journey Mapping define how users interact with the app, ensuring a smooth and intuitive experience.

Information Architecture (IA) – Structuring the App

Information Architecture is about organizing the app’s content, features, and navigation in a logical manner for both riders and drivers.

High-Level Structure

The ride-hailing app consists of three main components

  • Rider App (for passengers booking rides)

  • Driver App (for drivers accepting rides)

  • Admin Panel (for managing operations)

Rider App Information Architecture

  • Onboarding & Account

    • Sign up/Login (Phone, Email, Social Media)

    • Profile Setup (Name, Payment Methods, Preferences)

    • Safety & Privacy Settings
       

  • Ride Booking

    • Home Screen (Enter Destination, Ride Options)

    • Fare Estimate & Ride Request Confirmation

    • Matching with Driver (ETA Display, Driver Details)
       

  • During the Ride

    • Live GPS Tracking

    • Ride Status Updates (Driver Arrival, Ride Progress)

    • Ride Cancellation Option
       

  • Post-Ride Experience

    • Payment (Cash, Card, UPI, Wallets)

    • Ride Rating & Driver Feedback

    • Ride History & Receipts
       

  • Support & Additional Features

    • Help & Support (Report Issues, Contact Support)

    • Safety Features (Emergency SOS, Ride Sharing)

    • Promotions & Offers

Driver App Information Architecture

  • Onboarding & Verification

    • Driver Registration & Background Check

    • Vehicle Registration & Inspection

    • Payment & Bank Details Setup
       

  • Ride Management

    • New Ride Requests (Accept/Reject)

    • Ride Earnings & Fare Breakdown Display

    • Navigation & Best Route Suggestions
       

  • During & After Ride

    • Ride Status (Started, In-Progress, Completed)

    • Earnings Display & Transaction History

    • Rating & Feedback System
       

  • Driver Support & Features

    • Support & Dispute Resolution

    • Performance Metrics & Incentives

    • Vehicle Maintenance Alerts

Admin Panel (Business Management)

  • User & Driver Management (Verification, Banning, Dispute Resolution)

  • Ride Analytics (Peak Hours, Demand Analysis)

  • Pricing & Surge Adjustments

  • Promotions & Discounts Management

A User Journey Map helps visualize the experience of riders and drivers as they interact with the app.

RIDER JOURNEY: Booking & Completing a Ride
 

  • Step 1: Opening the App

    • User Action: Opens the app → Sees a clear “Enter Destination” field

    • Best Practice: Show real-time location with auto-detected pickup poin

  • Step 2: Selecting a Ride Option

    • User Action: Chooses between Economy, Premium, Shared, or Bike

    • Best Practice: Show estimated fare, ETA, and surge pricing (if applicable)

  • Step 3: Confirming Ride & Matching with a Driver

    • User Action: Taps “Confirm” → Waits for driver assignment

    • System Action: Finds the nearest driver based on distance, rating, and ride preferences

    • Best Practice: Display driver details, vehicle info, and estimated arrival time

  • Step 4: Ride in Progress

    • User Action: Boards the vehicle and tracks the journey live

    • Best Practice: Provide an SOS button, route sharing, and customer support access

  • Step 5: Ride Completion & Payment

    • User Action: Pays via preferred method (Card, Cash, Wallet)

    • Best Practice: Provide fare breakdown, digital receipt, and easy tip option

  • Step 6: Rating & Feedback

    • User Action: Rates driver and provides feedback

    • Best Practice: Prompt users for feedback but don’t force it

Driver Journey: Accepting & Completing a Ride

  • Step 1: Driver Logs In & Becomes Available

    • User Action: Opens the app, sets availability status to “Online”

    • System Action: Starts searching for nearby ride requests

  • Step 2: Receiving a Ride Request

    • User Action: Sees ride details (Pickup, Destination, Fare) → Accepts or Rejects

    • Best Practice: Provide an option to decline with reason (e.g., too far)

  • Step 3: Navigating to Pickup Point

    • User Action: Uses the in-app map or Google Maps for directions

    • Best Practice: Show optimized route with real-time traffic updates

  • Step 4: Picking Up the Rider & Starting the Trip

    • User Action: Confirms passenger identity, starts ride

    • System Action: Notifies rider that trip has begun

  • Step 5: Completing the Ride & Earning Payment

    • User Action: Ends the ride, sees earnings summary

    • System Action: Processes payment (Auto for digital, cash for manual)

  • Step 6: Rating & Feedback

    • User Action: Rates the rider

    • Best Practice: Encourage ratings but keep it optional

Edge Case Handling in User Journey

  • Rider Cancels Before Pickup

    • Notify driver immediately

    • Apply a cancellation fee if needed

  • Driver Rejects a Ride Too Many Times

    • Provide an option to pause ride requests

    • Prevent penalties for justified cancellations

  • Payment Fails After Ride

    • Retry the transaction

    • Allow ride credits for future payments

DRIVER FLOW
RIDER FLOW
APP FLOW
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