Co-Findr takes users from discovery to booking with easeāview space details, book your stay, get instant confirmation, and connect with co-guests for a social living experience.
Co-Finder is a mobile and web platform designed to help users quickly and intelligently find the ideal co-living space based on their lifestyle, budget, and social preferences. It leverages AI-powered recommendations, psychographic profiling, and real-time availability to simplify the search and booking process.
Students, young professionals, and travelers looking for flexible,short and long-term accommodation often face a frustrating and time-consuming search for the ideal co-living space.
Co-Findr simplifies finding and booking co-living spaces with AI-powered personalized recommendations based on lifestyle, budget, and community preferences. Targeting students, young professionals, and remote workers, it offers features like real-time availability, psychographic profiling, and co-guest communication. The platform bridges the gap between technology and community-focused living, providing a trustworthy and engaging experience through personalized onboarding and a smooth guest-host ecosystem.
(QualitativeĀ Research – Why) – User Interviews
Understand usersā pain points, expectations, and needs in-depth.
(Quantitative Research – What) – Surveys
Gather statistical data to support insights, helping to understand the broader user baseās habits and preferences.
Students, young professionals, and travelers from India who are looking for co-living spaces.
Through social media (Instagram, LinkedIn, Facebook groups), co-living platforms, and word-of-mouth.
Asking about age, occupation, location, and living arrangements.
Distribute the survey across different platforms like WhatsApp groups, LinkedIn, co-living spaces, and digital nomad communities.
Targeted for a sample size of at least 50-100 respondents to get diverse perspectives.
Age, occupation, city, length of stay in co-living spaces, etc
Interview Outcome
ā Spent hours searching for the right space, but the availability is never up-to-date. I often find listings that are already booked or have incorrect informationā
“Thereās no central platform that consolidates everything in one place. We have to use multiple websites or apps, which takes up a lot of time.”
ā I want a place that is affordable but also comes with amenities like high-speed Wi-Fi, a community feel, and proximity to my office.ā
Survey Outcome
Respondents mentioned that availability and outdated listings were their biggest issues.
Said they were frustrated with the booking process (multiple steps and unclear payment systems)
Wanted real-time availability.
Wanted personalized recommendations based on budget and preferences.
Were looking for community features such as events or networking opportunities.
Age : 28
Occupation : Software Developer
Location : Pune, India
Tech Proficiency : High
Education : B.Tech in Computer Science
Income : ā¹14,00,000/year
Lifestyle : Urban, Tech-Savvy, Community-Oriented
Arjun moved from a small town to Pune for work and is now looking for a co-living space that suits her professional and social life. He enjoys exploring different cities, networking with like-minded individuals, and values a balanced life between work and personal time. Arjun is tech-savvy and prefers digital solutions for managing daily tasks.
How Co-Findr Solves Arjunās Needs:
“I want a co-living space that not only suits my work needs but also connects me with like-minded individuals. I donāt want to waste time jumping between apps; I need a seamless, personalized experience that feels like home.” ā Arjun Deshmukh
| Feature | Zolo Stays | Stanza Living | NestAway | Colive | Co-Findr |
|---|---|---|---|---|---|
| AI-Powered Personalized Matching | ā | ā | ā | ā | ā |
| Real-time Availability | ā | ā | ā | ā | ā |
| Community-focused Living | ā | ā | ā | ā | ā |
| Flexible Booking Options | ā | ā | ā | ā | ā |
| Co-guest Communication | ā | ā | ā | ā | ā |
| Psychographic Profile-Based Onboarding | ā | ā | ā | ā | ā |
| Property Type Filters (2BHK, Villas, etc.) | ā | ā | ā | ā | ā |
| All-inclusive Pricing (Amenities, Utilities, etc.) | ā | ā | ā | ā | ā |
| Mobile-First Experience | ā | ā | ā | ā | ā |
| Cross-Platform Integration (Web/Mobile) | ā | ā | ā | ā | ā |
| Seamless Guest-Host Ecosystem | ā | ā | ā | ā | ā |
| In-app Community Events | ā | ā | ā | ā | ā |
Awareness
Arjun realizes he needs a co-living space for work and socializing.
āI need a space where I can be productive, but also socialize.ā
Slightly overwhelmed, uncertain
Difficulty finding spaces with a balance of work and social.
Consideration
He searches Co-Findr, applying filters for work-friendly features.
āI hope I can find something that has both privacy and community.
Cautious, hopeful
Many options with no balance between work and socializing
Decision
He narrows down choices based on reviews and user feedback.
āThis looks good. I just need to make sure the internet is fast.ā
Optimistic, stressed
Inconsistent quality of reviews; unclear internet info.
Booking
He books the space using Co-Findrās simple process.
āI hope the process is quick and easy.
Relieved, satisfied
Complicated booking forms on other platforms.
Post-Booking
Arjun communicates with the host to finalize details.
āI just want to make sure the space matches the listing.ā
Anxious, ready for the move
Lack of in-app messaging or quick host communication.
Based on the research we went through final refined ideas for the Co-Findr platform. These ideas integrate uniqueness, focus on user personalization, and leverage key differentiators that can elevate the user experience.
Co-Findr splash screens are designed to create an engaging first impression, featuring clean, vibrant logo animations and a smooth transition through the onboarding process. This sets a user-friendly tone, making users feel comfortable and excited to begin their journey.
Psychographic profiling UI screens in Co-Findr guide users through a personalized selection process, collecting preferences on environment, space type, community vibe, and leisure activities. This helps generate co-living space recommendations based on lifestyle, ensuring a perfect match for each userās needs and personality.
A user friendly home screen that welcomes the user, shows AI-picked co-living spaces, quick filters, top matches, and nearby areasāall in one easy-to-navigate view.
Header
Build engagement and highlight community-driven nature.
Search Bar
Centralized input for discovering spaces by keyword, location, or preference.
AI Recommendation Card
Leverage AI to increase conversion by offering a high-match option quickly.
Quick Filters
Enable fast filtering based on key preferences without opening the search page.
Top Picks For You
Present personalized high-match listings upfront for quicker booking decisions.
Popular Neighborhoods
Help users explore listings by multiple popular locations.
Start Your Search CTA
Encourages active browsing and redirects to detailed filter/search interface.
Navigation Bar
Provides core app navigation to streamline user journey across the platform.
Who You’ll Be Sharing With
You’ll be sharing the space with 4 remote workers and the host.
Experience comfort and convenience, effortlessly.
Our system recommends co-living spaces based on your personality and lifestyle.
Confirm your booking and get ready to move into your new home.
Live with like-minded people in a peaceful, professional, or social environment.
Co-Findr takes users from discovery to booking with easeāview space details, book your stay, get instant confirmation, and connect with co-guests for a social living experience.
Co-Findrās login/signup is quick and easy on both mobile and desktop, with OTP-based access via phone or emailāso users can start exploring instantly.
The Profile and Settings screens let users manage their account, view bookings, and customize app preferences. For hosts, the Onboarding and Dashboard provide easy setup, listing management, and real-time insights to track bookings and guest interactions.
Testers used prototypes
Completed booking without help
Liked AI onboarding
Feedback led to clarity in match score & guest chat features
Personalization increases trust
Guest previews improve comfort
Community engagement encourages retention
