RooMy

A safer, smarter way to find the ideal roommate and ,maintain harmony at home

Introduction

RooMy is a mobile platform that simplifies the process of finding compatible roommates and fosters a positive living environment once you move in together. With increasing urban density and changing life milestones, shared housing has become a permanent solution rather than a temporary one; it is now the new normal.

Solution

Create a safe, trustworthy roommate-matching platform

Focus on behavioral and lifestyle compatibility

Support long-term roommate harmony

Design for both roommate-seekers and apartment-seekers

Problem Discovery

As more people live with roommates for longer periods due to rising urban density and changing life milestones, the process of finding a compatible roommate remains unsafe, time-consuming, and stressful.


Shared housing is increasingly becoming a long-term arrangement rather than temporary, yet the existing roommate-finding methods do not adequately address safety, transparency, or ease throughout the entire roommate lifecycle. Can this be solved?

My Role

I managed the overall design process, focusing on product scoping, user flows, wireframes, rapid prototyping, and usability testing.


Additionally, I conducted user research and analyzed the findings to generate viable ideas.

Research Process

Interviews → Surveys → Competitor Analysis → Personas → Journey Mapping → Prototyping → Testing

Feature Highlights

Smart Compatibility Matching

Lifestyle routines, cleanliness expectations, noise habits, guest policies, personality insights, and values are combined into a compatibility score.

Apartment & Roommate Matching

Search room listings or people looking for roommates using map-based discovery tools.

Verified Profiles

Government ID checks, phone verification, and facial match technology ensure trust and safety.

Roommate Harmony Tools

Shared bills, chores, house guidelines, and anonymous feedback check-ins help keep the home running smoothly.

Project Scope

4 Weeks

Tools

Figma, figjam, Zoom,Slack

Interviews: Understanding Real-World Challenges

Safety Concerns: Fear of scams, difficulty validating identity

Trust & Compatibility: Conflicting lifestyles, unknown habits

Search Pain Points: Reliance on unstructured WhatsApp, no centralized platform

Cultural Nuances: Gender preferences, alignment on values & religion

4. Personas: Two Primary User Types

2. Surveys: Validating Insights at Scale

3. Competitor Analysis: Why Existing Solutions Fall Short

Facebook Groups: Active but full of scams, unverifiable listings

WhatsApp Communities: Fast but chaotic, no profiles or trust indicators

Airbnb Roommates: Well-structured but not yet available in Africa

AMA 26, Room Seeker

Goals: Safe, clean place close to work

Pain Points: Scams on Facebook, fear of apartment visits, difficulty assessing compatibility

Needs: Verified profiles, transparent info, safe meetups, compatibility scores

TUNDE 30, Room Advertiser

Goals: Fill room quickly, avoid unreliable roommates

Pain Points: Ghosting, no-shows, lifestyle mismatches

Needs: Pre-qualified matches, scheduling automation, safe viewing process

User journey Mapping

Wireframes

Usability Testing

10 participants, 2 rounds. Major improvements were made to onboarding speed, quiz clarity, compatibility scoring, and apartment filters.

What Worked Well:

Verification system boosted user trust instantly

Compatibility scores reduced anxiety about choices

SafeMeet flow significantly reduced safety concerns


Iterations Made:

Condensed onboarding steps

Rephrased sensitive cultural questions

Added expense tracker shortcuts

Final Visual Design

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