Reimagining Local Travel: Building TripPool for Hyperlocal Mobility
Reimagining Local Travel: Building TripPool for Hyperlocal Mobility
A case study on designing a unified ride-hailing, pooling & rental platform
TL;DR
TripPool was my attempt to solve the fragmented experience of local travel in India’s smaller cities. I designed and built a conceptual MVP that unified three disconnected services — ride-hailing, vehicle rentals, and car/bike pooling — into a single, frictionless platform. This was an exercise in system-level design, monetization planning, and real-world usability.
Background
If you’ve ever tried commuting in a Tier-2 or Tier-3 Indian city, you know the pain:
Ride-hailing is inconsistent or unavailable
Rentals require separate platforms
Pooling exists informally, usually via WhatsApp or friends
There’s no consolidated experience — unlike major metros where Ola, Uber, and Bounce compete for user attention.
I asked: What if we could bring all of these services into one product — and make it usable for everyone, not just the tech-savvy?
Problem
No platform integrates on-demand rides, short-term rentals, and peer pooling
Users often juggle between 3–4 apps to get where they want
There’s low trust in peer-to-peer ride options due to safety & UX gaps
Existing interfaces assume high-speed internet + fluent users — not always true
Solution
TripPool — a one-stop app where users can:
Book a cab/bike ride, like any ride-hailing app
Rent a vehicle for an hour, day, or week
Offer/request a ride pool for intercity travel
All in a UX tailored for low-bandwidth, local language, and fast booking.
Design Process
🧩 UX Strategy
Built 3 clear user journeys: Book a ride, Post a pool, Rent a vehicle
Mapped all actions to 2–3 clicks max from home screen
Prioritized legibility, contrast, and large CTAs for accessibility
🛠 Tools Used
Figma for UX flows and interaction maps
Pen + paper wireframes for feature overlap resolution
Notion for feature planning, Airtable for matrix mapping
📱 Visual Design
Colors inspired by road signs: yellow (action), blue (info), green (safe)
Used illustration to increase trust and reduce user hesitation
Clean, flat layout — easy to navigate, even for first-time app users
Business & Monetization
I modeled 3 revenue streams:
Commission-based (like Uber/Ola) for rides
Subscription for verified renters/poolers
Marketplace promotion for vehicle rental vendors
Also included:
User verification system via Aadhaar or College ID
Safety scorecard based on trip history and ratings
Admin dashboard for local vendor and route monitoring
Impact & Feedback
While the app wasn't launched, the case study:
Helped me understand transport UX, pricing logic, and platform trust-building
Was used as a portfolio piece in interviews and pitch decks
Earned feedback from 5 startup founders in mobility & urban tech
Inspired part of the vendor logic later used in itsweekend.wtf
What I Learned
Designing for trust is harder than designing for efficiency
Real-world edge cases (rider cancels, no GPS, payment failures) change flows drastically
Local success = hyper-contextual design (language, intent, habits)
Monetization needs to be built from day one, not retrofitted
What’s Next
TripPool isn’t live — but its learnings live on in everything I build. If I revisit it:
I’d prototype using Flutter or Bubble for faster real-world feedback
Integrate live GPS tracking and predictive ETA AI
Run pilots with local colleges and coworking communities
Final Thoughts
TripPool showed me that UX isn’t just about buttons and flows — it’s about systems, behavioral economics, and deep empathy for constraints.
If you're working in mobility, local commerce, or platform UX, I’d love to jam.
🔗 amishsri.framer.website
📩 DM me on LinkedIn