
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!

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.
Surveys, questionnaires, interviews, and focus groups
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Goal of the Research
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Understand the pain points and needs of riders and drivers.
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Identify expectations from a new ride-hailing app.
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Discover motivations and barriers to switching from Uber/Ola.
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Inform features, pricing, and UX.
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Surveys & Questionnaires
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Method
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Distributed via Google Forms, social media, and WhatsApp groups in Tier 1–3 cities.
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Targeted two segments: Passengers and Drivers.
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Sample Size
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Riders: 150 responses
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Drivers: 60 responses
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Sample Survey Questions for Riders
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General Behaviour:
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How often do you use ride-hailing apps (e.g., Uber, Ola)?
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Which app do you prefer and why?
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What frustrates you most when using your current ride-hailing app?
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How do you usually pay for rides? (Cash, UPI, Card, Wallet)
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Would you consider switching to a new ride-hailing app if it provided better fares and service?
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Preferences & Features:
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Rate the importance of these features (1-5):
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Fare transparency
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Driver behavior
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Ride tracking
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Local language support
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Discounts and offers
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Sample Survey Questions for Drivers
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Which platform do you currently drive for?
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How satisfied are you with earnings and incentives?
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Do you feel the current platforms treat drivers fairly?
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What improvements would you like to see in a new app?
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Would you register on a new platform that offers better commissions and support?
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User Interviews (Qualitative Insight)
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Method
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Conducted with 10 riders & 5 drivers across Delhi, Bangalore, and Guwahati.
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Semi-structured format (open-ended questions).
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Sample Interview Questions – Riders
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Can you walk me through your last ride-booking experience?
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What made it smooth/difficult?
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What makes you loyal to a particular app?
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Would you use an app that integrates local culture or language?
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Sample Interview Questions – Drivers
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What challenges do you face daily on your current platform?
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Have you ever faced unfair penalties or ride cancellations?
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What would motivate you to try a new ride-hailing app?
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Focus Groups
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Method
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2 sessions (6–8 people each)
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One with frequent riders
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One with professional drivers
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Location: Online Zoom + offline café in Guwahati\
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Duration: 60–90 mins
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Focus Group Themes
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Trust & Safety
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Incentives & Rewards
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Regional cultural adaptation (e.g., language preferences, festive discounts)
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Driver support and communication
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Analysis and Results
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Riders – Key Findings
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Drivers - Key Findings
Insights | Details |
|---|---|
Price Sensitivity | 68% said discounts/fare transparency drive their decision. |
Frustrations | App crashes, long wait times, surge pricing, poor driver behaviour. |
Loyalty Levers | Local language support, safety alerts, ethical business practices. |
Switching Readiness | Switching Readiness 74% open to switching if pricing, features, or local integration improve. |
Insights | Details |
|---|---|
Dissatisfaction | 81% feel commissions are too high; 64% feel platform is biased toward riders. |
Feature Wish List | Transparent payment system, human support, fewer ride cancellations. |
Trust Issues | 50% faced payment delays; 37% don’t trust incentives offered. |
Switching Readiness | 87% would join a new app with better commission & respect. |