Overview
Sadhel is a bike-sharing platform designed to address mobility issues for students in East Java. Many students endure long walks in hot weather due to the lack of organized rentals, while unused bikes pile up and go to waste. Sadhel connects bike owners and borrowers with a secure, simple system tailored for campus life.
Discovery
Pain Points:
Bike owners hesitate to rent their bikes due to trust issues.
Borrowers lack access to affordable, reliable transportation.
Abandoned bikes contribute to clutter and waste on campus.
Benchmark: Studied Spekun, Gowes, Vigo for strengths and gaps.
Literature: Explored behavioral, environmental, and platform-based transport models.








Goals
User Goal: Access affordable and trustworthy bikes for daily commute.
Product Goal: Build a secure, intuitive rental experience tailored for students.
Business Goal: Monetize idle bikes and foster eco-friendly transport habits.
How might we make biking a more attractive, accessible, and secure option for students despite the climate?


Define: Problem & Solution
We used the Eisenhower Matrix and Impact/Effort mapping to prioritize:
Urgent problem: Lack of trust and disorganized renting.
High-impact solution: Real-time listings, messaging, secure booking.


Design
Developed user journeys for both personas.
Built end-to-end flow: browse → book → chat → ride → return.
Designed wireframes and mid-fidelity mockups.
Final prototype built in Figma, applying custom design system.
Mapped out the student journey for owners and borrowers.
Created low-fidelity wireframes using Crazy 8s method.
Built high-fidelity prototype in Figma with custom design system.




Finalize
Conducted moderated usability tests with 5 student users.
Refined design based on insights (simplified navigation, improved trust indicators).

Outcomes
Positive reception: “Feels like the campus finally has a bike system.”
Users praised the repair locator and smooth booking flow.
Key Learnings
Trust-building is vital; campus climate impacts usability.
Next
ID verification
late return handling
and reward point system.
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