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Case study 01

HomeSafe — Ride Coordination App

HomeSafe is a ride-coordination app that helps Columbia & Barnard students find a travel buddy after a night out — splitting the cost of an Uber and making sure no one heads home alone, especially late at night.

Role
UX Researcher, Product Designer
Team
3 designers
Timeline
14 weeks
Tools
Figma, Balsamiq Wireframes, Miro, Slack, React, JavaScript, HTML/CSS
HomeSafe — image placeholder
01 — The problem
For students heading downtown for a night out, the trip home is often the hardest part of the night.

An Uber back to Morningside Heights from the Lower East Side or Brooklyn can run $40–$70, and the subway, while cheap, can feel unsafe late at night — especially for someone traveling alone, intoxicated, or in revealing clothing.

02 — The solution

HomeSafe connects students who are heading toward the same place at the same time so they can split an Uber or ride the train back together, turning a stressful, expensive solo trip into a shared, affordable, and safer one.

03 — Audience & method

Our primary users are students at Columbia and Barnard who frequent bars and clubs downtown; the app also serves the wider student body for shared rides to airports, concerts, and other off-campus destinations. We shadowed and interviewed students on real nights out — at jazz bars in the Lower East Side, clubs in Queens, and on the walk back to campus — then ran an affinity diagramming session to find patterns across everything we'd heard.

04 — Demo video

A walkthrough of the hi-fi prototype in action.

HomeSafe prototype demo
05 — Voices from the field
“I know on Sidechat people ask about splitting Ubers to airports at specific times. There should be one for trains and Ubers too.”
Jojo
Student @ Barnard
“The wait for trains gets really long, and I feel unsafe waiting alone on deserted platforms — more than I do on the train itself.”
Julia
Student @ Columbia
06 — User personas
Diya — The Safety-First Rider

Barnard student, sophomore.

Behaviors
  • Goes out 2–3 times a month, mostly downtown or in Brooklyn.
  • Will wait an extra 15–20 minutes rather than travel home alone.
  • Default plan is "leave with a friend" — HomeSafe needs to replace that friend, not just save money.
  • Distrustful of ride-splitting with strangers unless there's some way to vet who she's riding with.
Quotes
"I don't feel safe alone on the subway drunk and in revealing clothing — if I'm taking it home, I go with a friend."

Needs from HomeSafe: visible verification (.edu-only), the ability to filter or see who's asking to ride, and a sense of a match before she commits to leaving with them.

Dani — The Budget-Conscious Rider

Columbia student, junior.

Behaviors
  • Goes out most weekends, often from further-out neighborhoods (Queens, Bushwick).
  • Price-sensitive, especially post-surge; has skipped nights out over the cost of the ride home.
  • Less worried about traveling alone than Diya, more worried about the bill.
  • Wants speed — doesn't want to wait around for a match if it costs her more time than it saves her money.
Quotes
"If I go out alone, I'd just pay for the Uber alone — from Queens to Manhattan that's roughly $40, but double after 4am."

Needs from HomeSafe: a fast, low-friction way to see who's already heading her direction, with the price split visible up front.

07 — Affinity diagram

We grouped everything we heard into an affinity diagram, which sorted into two clear clusters: personal safety concerns and financial & logistical constraints.

Affinity diagram — personal safety & financial/logistical clusters
Affinity diagram — personal safety & financial/logistical clusters
08 — Research insights
Personal safety
  • Traveling alone late at night feels far less safe than with company — especially while intoxicated.
  • Transferring trains alone, or waiting on empty platforms, was repeatedly described as scary.
  • Revealing clothing after a night out heightened feelings of vulnerability on transit.
  • Many students said they'd rather wait and leave with another woman than go alone, sober or not.
Financial & logistical
  • Ubers from popular nightlife areas (Brooklyn, Queens, downtown) are a real financial strain.
  • Surge pricing pushes prices well past what students consider affordable.
  • Students consistently said they'd prefer to go home with other women if given the option.
  • Friends often leave at different times, leaving someone to figure out the trip home solo.
09 — Competitive analysis

Two services already address pieces of this puzzle — but each leaves a gap that HomeSafe was designed to fill.

Uber

Splits fares with a stranger heading the same direction — but the savings are often marginal. A shared ride from Morningside Heights to the Upper East Side was $17.52 versus $21.94 for a private UberX, a difference of just a few dollars.

Columbia Evening Shuttle

Free rides within a campus radius, but waits often exceed 20 minutes, service runs only 6pm–3am, and it never reaches downtown Manhattan, Queens, or Brooklyn — exactly where our users are going out.

Our solution: HomeSafe

Combines the cost-sharing of Uber Share with the safety and community of the Evening Shuttle. Students coordinate with people already heading their way — no time window, no service-area limit, and a shorter wait than a scheduled shuttle since it's an on-demand car.

10 — Lofi prototypes

Balsamiq wireframes covering the full flow — destination search with buddy filters, the potential-buddy feed, direct messages, reviews and verification, profile sharing, account settings, and saved destinations.

Lo-fi wireframes — search & match, messaging, reviews, profile, and saved destinations
Lo-fi wireframes — search & match, messaging, reviews, profile, and saved destinations
11 — Hifi prototypes

Four core flows, built in Figma: onboarding and .edu verification, posting a ride, the rider home feed, and the profile other students see.

Tap any screen to expand it.

Onboarding
Create a ride
Home page
Profile page
12 — Reflection & Results

Our design hypothesis: a platform like HomeSafe would provide a reliable, cost-effective way to get home safely, reducing the cost of expensive Uber rides. Our small-scale prototype test supported that — but also surfaced real open questions.

What worked
  • HomeSafe won Best App Idea for the semester in UI Design, selected from 25 teams by the professor and TAs.
  • The group-chat format felt natural and unforced — participants used it without prompting once it was time to leave.
  • Splitting a $57 taxi from Queens down to $14.25 per person validated the core value proposition.
  • Ranking-driven wireframes made the jump to a polished hi-fi prototype much faster.
Open questions
  • How do we build critical mass — and promote the app — without a large existing user base?
  • Would users feel comfortable sharing real-time location at scale, beyond a small trusted group?
  • How should the UI feel less like "messaging strangers" and more like the original group chat?
  • What's the right way to incentivize early prototype testers given limited go-out windows (Thu–Sun)?
Next Someday
Coded with Claude :)