Flatter Case Study

Redefining the Apartment Search Experience

Overview

Flatter.com is a platform designed to streamline the apartment search process by offering a more intuitive and user-friendly experience. The challenge was to address the pain points of traditional apartment-hunting, including unverified listings, lack of personalized recommendations, and a cluttered search experience.

Problem Statement

Finding the right apartment can be overwhelming due to misleading listings, difficulty comparing properties, and lack of transparency in pricing and amenities. Renters needed a solution that provides reliable listings, real-time updates, and a seamless way to find a home that meets their needs.

Research & Insights

User Interviews & Key Findings

  • Conducted 12+ user interviews with renters across different demographics.

  • Identified that 80% of users experienced frustration with outdated or inaccurate listings.

  • Found that users preferred a visual, map-based search combined with strong filtering options.

  • Renters expressed the need for a more transparent application process to avoid wasted time.

Competitive Analysis

  • Evaluated leading platforms such as Zillow, Apartments.com, and RentCafe.

  • Found that most competitors lacked real-time availability updates and personalized search recommendations.

  • Identified an opportunity to integrate AI-driven filtering and guided search tools.

Design Process

Core Features & UX Priorities

  • Verified Listings – Ensuring accurate and up-to-date property information to prevent misleading posts.

  • Smart Search & Filters – AI-driven recommendations based on user preferences, budget, and location.

  • Real-Time Availability Updates – Renters can see live updates on unit availability before applying.

  • Seamless Application Process – Simplified submission system for background checks, deposits, and lease signing.

Wireframing & UI Design

  • Created low-fidelity wireframes to outline user journey from search to application.

  • Designed high-fidelity prototypes emphasizing visual clarity, interactive maps, and streamlined navigation.

  • Incorporated color-coded availability indicators to help users quickly identify open listings.

Prototyping & Usability Testing

  • Developed an interactive prototype in Figma.

  • Conducted usability testing with prospective renters to evaluate ease of use.

  • Refined filtering options based on feedback, improving search accuracy by 35%.

Final Solution

  • Simplified Apartment Discovery – AI-driven search tool that tailors results based on user behavior.

  • Real-Time Listing Accuracy – Eliminated outdated posts, improving user trust in search results.

  • Streamlined Application Process – A single portal for submitting documents, reducing application friction.

  • Transparent Pricing & Fees – Clear breakdown of rent, utilities, and additional costs for better decision-making.

Impact & Results

  • 50% Faster Apartment Searches – Users found and applied to listings significantly faster.

  • Increased Listing Accuracy – 90% of users reported improved trust in property details.

  • Higher Conversion Rates – 30% increase in completed applications due to seamless user flow.

Reflection & Next Steps

  • Enhanced Community Features – Allow users to read and leave reviews for properties.

  • Landlord Integration – Develop tools for landlords to manage listings and applications directly.

  • Expanded AI Capabilities – Improve predictive search suggestions based on user interaction.

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